Legal Workflow Automation Executive

Legal Workflow Specialist

Forward Deployed AI Strategist

Account Manager

Engineer, Staff/Manager (Wet Etch / Electroplating)

Sr. Manager, Quality & Reliability Engineering

R&D/Product Dvl Engineer II

Principal/Staff, Firmware and Product Test (SSD)

Process Engineering Manager

Senior Software Engineer AI

Role Description: <ul><li>As a Legal Workflow Automation Executive , you collaborate closely with top legal teams to leverage Generative AI in automating legal processes—designing intelligent workflows that streamline operations, enhance efficiency, and empower firms to make more informed decisions.</li><li>Your role centres on identifying automation opportunities, demonstrating practical AI-driven solutions, and guiding adoption to ensure measurable improvements from initial implementation through to scalable impact.</li></ul> Responsibilities: <ul><li>Partner with lawyers and legal operations leaders to unpack real world legal workflows, pain points, and inefficiencies.</li><li>Translate legal work into high value workflow use cases supported by AI and trusted legal content.</li><li>Design and deliver tailored product demonstrations, training sessions, and workshops aligned to specific practice areas and team needs.</li><li>Support the full client journey in partnership with Customer Success — from pilots and onboarding to firm wide or department wide adoption.</li><li>Act as a strategic sounding board for clients evaluating the ROI, risk, and operational impact of AI in legal practice.</li><li>Represent the customer internally by feeding insights into product development, roadmap prioritisation, and go to market strategy.</li><li>Capture best practices and contribute to repeatable playbooks that help scale this function locally and globally.</li></ul> Requirements: <ul><li>A recognised legal qualification (LLB or equivalent).</li><li>A minimum of 3 years’ experience practising law within a top tier law firm, corporate legal team, or public sector legal environment.</li><li>A strong understanding of legal workflows, legal processes, and the practical realities of delivering legal services.</li><li>Proven confidence engaging with senior legal stakeholders, with the ability to establish trust and credibility quickly.</li><li>Clear, persuasive communication skills, with the ability to engage legal, operational, and executive audiences effectively.</li><li>A genuine interest in legal technology and the application of AI to enhance the quality and efficiency of legal work.</li></ul>

Responsibilities: <ul><li>Design and deliver onboarding tailored to South African firms, practice groups, and in‑house legal teams.</li><li>Lead interactive training sessions that demonstrate AI‑enabled workflows across research, drafting, review, and knowledge management</li><li>Create clear, practical training materials, including guides and short videos.</li><li>Engaging in-house legal teams to understand their daily workflows and creating tailored AI solutions (e.g., Protégé Workflows) to enhance existing processes, improve outcomes, and increase productivity and ROI.</li><li>Monitor product usage across SA clients and drive increased utilisation, particularly in high‑volume corporate, regulatory, and litigation practices.</li><li>Identify adoption obstacles specific to SA legal environments</li><li>Demonstrate measurable client value, including efficiency gains, quality improvements, risk reduction and consistency.</li><li>Work with customers to understand existing processes and design improved, AI‑supported workflows.</li><li>Configure workflows to align with client preferences, practice‑area needs, and organisational standards.</li><li>Share proven approaches and best practices to support learning across the customer base.</li><li>Represent customer perspectives internally, translating feedback into clear, practical insights.</li><li>Partner with product and development teams to inform future improvements.</li><li>Support testing of new features, focusing on usability, accuracy, and real‑world application.</li></ul> Requirements: <ul><li>Admitted Attorney (LLB required; articles completed).</li><li>2–5+ years post‑admission</li><li>Exposure to complex legal workflows—corporate, commercial, litigation, regulatory or similar.( advantageous)</li><li>Confidence communicating with a range of stakeholders and delivering clear, engaging presentations or training</li><li>Ability to “translate” legal workflows into repeatable, technology‑enabled processes.</li><li>An interest in legal technology and curiosity about how AI can support better legal outcomes</li><li>Excellent relationship‑building, active listening and stakeholder‑management skills.</li><li>Data‑driven mindset with the ability to articulate value and ROI</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Role Description: <ul><li>The Account Manager will be responsible for driving sales growth and managing customer relationships for the Industrial &amp; Commercial Transportation (ICT) Business Unit in West India. The role focuses on developing strong relationships with existing and new OEM and Tier-1 customers, identifying new business opportunities, increasing market share and ensuring customer satisfaction.</li><li>The Account Manager will work closely with cross-functional teams to support customers from concept development through production. </li><li>The Account Manager, West India – ICT Business Unit will be responsible for driving business growth and customer engagement in alignment with our client SET Methodology – Strategy, Execution, and Talent.</li></ul> Responsibilities: Strategy <ul><li>Develop and maintain strong long-term relationships with OEM and Tier-1 customers across the region.</li><li>Understand customer roadmaps, market trends and industry developments to identify growth opportunities.</li><li>Create and execute account strategies that support our client business objectives.</li><li>Identify new customers, applications and programs that can drive growth.</li><li>Increase our client market share through product spec-in, product conversion and competitive replacement opportunities.</li><li>Promote our client proposition and strengthen brand presence within customer organizations.</li><li>Monitor competitor activities and provide market intelligence to support business decisions.</li><li>Support value engineering and cost optimization initiatives that create mutual benefit for customers and our client .</li></ul> Execution <ul><li>Achieve assigned sales, revenue and growth targets.</li><li>Develop and maintain a strong opportunity pipeline and ensure timely conversion of opportunities.</li><li>Manage customer opportunities from concept stage through production launch.</li><li>Prepare accurate sales forecasts and support business planning activities.</li><li>Lead commercial discussions including pricing, negotiations and agreement execution.</li><li>Coordinate with Engineering, Product Management, Operations, Supply Chain and Customer Service teams to ensure customer requirement are fulfilled.</li><li>Drive timely collection of receivables and support healthy financial performance.</li><li>Prepare and maintain account plans for key customers.</li><li>Ensure accurate reporting and opportunity management through Salesforce (SFDC).</li><li>Deliver an exceptional customer experience through proactive engagement.</li></ul> Talent <ul><li>Build strong working relationships across regional and global teams.</li><li>Collaborate effectively with cross-functional stakeholders to achieve business objectives.</li><li>Share customer insights and market knowledge with internal teams to support strategic decision making.</li><li>Demonstrate our client values through teamwork, accountability, integrity and customer focus.</li><li>Act as a trusted advisor to customers and an effective representative of our client in the market.</li><li>Continuously develop commercial, technical, and industry knowledge to support long-term business growth.</li></ul> Requirements: EDUCATION/KNOWLEDGE <ul><li>Bachelors Degree (BE/B.Tech) in Mechanical, Electrical, Electronics, Mechatronics or related Engineering discipline.</li><li>MBA is preferred but not mandatory.</li><li>3–5 years of experience in Sales, Business Development, Account Management or Application Engineering.</li><li>Experience in the Automotive, Commercial Vehicle, Off-Highway, Industrial Vehicle or Automotive Components industry is preferred.</li><li>Exposure to OEM and Tier-1 customer management will be an advantage.</li><li>Strong commercial understanding and customer-facing experience.</li><li>Knowledge of automotive product development cycles is desirable.</li><li>Familiarity with CRM tools such as Salesforce is preferred.</li></ul>

Responsibilities: <ul><li>Lead and manage a wafer fab manufacturing engineering module specializing in Wet Etch and Electroplating processes</li><li>Manage and develop a team of engineers and technicians in a high volume manufacturing environment</li><li>Drive excellence in output, quality, cost, equipment uptime, and safety</li><li>Ensure robust process control, stability, and integration across wet etch and plating operations</li><li>Lead root cause investigations for process, quality, and equipment issues and drive permanent corrective actions</li><li>Drive yield improvement, scrap reduction, and defect reduction through data driven analysis</li><li>Ensure high equipment availability and reliability, particularly for wet benches and plating tools</li><li>Apply and sustain SPC and statistical analysis tools to monitor and improve process performance</li><li>Actively contribute to continuous improvement programs to resolve chronic manufacturing or quality issues</li><li>Work closely with cross functional teams including Process Integration, Equipment, Quality, and Manufacturing</li><li>Provide technical and operational leadership during crisis situations impacting fab operations</li><li>Ensure strict compliance with EHS requirements, quality systems, cleanroom discipline, and wafer fab protocols</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Chemistry, Materials Science, Physics, or related discipline</li><li>Minimum 10 years of relevant experience in semiconductor wafer fabrication</li><li>Strong hands on technical expertise in Wet Etch, Electroplating, and related wet processes</li><li>Prior experience in high volume semiconductor manufacturing within an MNC environment</li><li>Strong understanding of:</li><li>Process integration</li><li>Statistical Process Control (SPC)</li><li>Yield improvement and scrap reduction methodologies</li><li>Equipment maintenance strategies for wet benches and plating tools</li><li>Proven people management experience, including coaching, talent development, succession planning, and manpower deployment</li><li>Demonstrated ability to lead root cause analysis and corrective action implementation</li><li>Strong sense of ownership with the ability to work effectively under pressure</li><li>Hands on leadership style with strong problem solving and decision making capabilities</li><li>Excellent communication and cross functional collaboration skills</li><li>Familiarity with statistical analysis tools, Excel, PowerPoint, and Word</li><li>Strong commitment to Environmental Health &amp; Safety (EHS), quality systems, and fab compliance</li></ul>

Responsibilities: <ul><li>Lead a global team of Advanced Quality Engineers in support of all new product introductions for a Strategic Product Line Portfolio within the Digital Data Networks (DDN) business unit. Lead all AQE activities from project inception to product launch and introduction.</li><li>Participate in the project Kick-off Meetings, support project team development for internal requirements, customer specific requirements, Risk Priority Number (RPN) reductions, analyze SPC data, etc.</li><li>Serve as the liaison between engineering and the plants on new product introductions to ensure robust process capability on all programs.</li><li>Attend project meetings and APQP driven events with the customers and the Project/Program Management Team.</li><li>Document the results for specific program characteristics and ensure the internal and external requirements are met including deviations.</li><li>Accountable for developing and driving on time delivery of Control Plans, Capability Studies, Part drawings, Inspection Instructions, Gage design and R&amp;R, DFMEAs, PFMEAs, AFMEAs for all assigned projects. Ensure the products developed are Designed for Manufacturing &amp; Assembly (DfMA) and are launched capably of meeting internal requirements and customer requirements.</li><li>Understand product requirements and define/approve Design Validation Test (DVT) and quality plans to ensure products meet the product specifications.</li><li>Authorize and approve that all Design Validation Test (DVT) results meet product specifications and customer requirements.</li><li>Actively participate in early product Concept Reviews and Design Review meetings with the Product Development Engineering (PDE) for the assigned product, related tooling and fixturing, and overall quality plans.</li><li>Generate and/or champion 8-Ds for the prototype process including 8-Ds for problem solving, test failures, and prototype failures.</li><li>Complete the Change Control process and identify special characteristics for projects/programs.</li><li>Work in conjunction with the Manufacturing Process Development Engineering (MPDE) teams to ensure the manufacturing process and equipment meets the product’s defined quality level and that the process also meets the capability levels identified for the product and project.</li><li>Assemble and submit PPAP package on time to the customer specific requirement.</li><li>Team with Supplier Quality Engineers to conduct and analyze process capability studies in support of Final Tool Approval (FTAR) for all tools and production lines associated with the project using the Comprehensive Tool Approval Report (CTAR), support completion of Supplier PPAPs.</li><li>Perform Six Sigma Capability Analysis of new equipment/processes to reduce variation.</li><li>Regularly reports to executive management on the overall performance and effectiveness of the Global Supplier Quality Program.</li><li>Drive high performance organization by providing your team routine coaching and feedback, holding your team accountable to meet performance objectives, and providing meaningful development to increase individual/team capability.</li><li>Manage employee well-being by prioritizing work, effectively managing resource loading, and providing flexibility to enable employees to successfully balance their work and personal lives.</li><li>Drive organization effectiveness by structuring your organization in a way that best enables the BU strategy, maximizes resource efficiency and productivity, and provides role clarity and clear lines of accountability.</li><li>Manage the talent in your organization to support the business now and to proactively prepare for the future by identifying organization skillset/role gaps, implementing plans to fill any skillset/role gaps, and assessing current talent fit to ensure the right talent is matched to the right roles to best meet the needs of the business.</li></ul> Requirements: <ul><li>Bachelor/ Master’s degree in technical discipline (Electrical Engineering, Electronics, Mechatronics)</li><li>10+ years of Experience in Quality, Advanced Quality Engineering, and working in global organizations.</li><li>Experience managing engineering teams in cross-functional, multi-site global organizations to drive effectiveness across geographical boundaries and deliver projects with multiple dependencies and constraints.</li><li>Demonstrated ability to forge strong internal working relationships with senior functional counterpart leaders.</li><li>Experience in the use of Lean, Six Sigma, Design for Six Sigma (DFSS), Design for Manufacturability &amp; Assembly (DfMA), Kaizen, 8D and other advanced statistical methods including Design of Experiments (DoE), Statistical Process Control (SPC) and Process Capability (CpK) analysis techniques.</li><li>Comprehensive knowledge and understanding of departmental, company, and corporate procedures and systems, i.e. ISO9000, ISO9001, IATF16949, ISO14001, VDA, PPAP, DFMEAs, PFMEAs, APQP Gate Reviews, GD&amp;T.</li><li>Excellent verbal and written communication skills and the ability to interact professionally with customers, leadership, stakeholders, cross functional teams and subject matter experts.</li><li>Proven track record of being able to work on multiple demanding programs in parallel while maintaining on-time completion of all defined project tasks and deliverables.</li><li>Ability to prioritize responsibilities in a fast-paced dynamic work environment.</li><li>Willingness to travel as required, ~30%</li></ul>

Responsibilities: <ul><li>Subject matter expert in signal integrity design, simulation and validation activities through product development cycles</li><li>Establishing signal integrity design performance/functional requirements for new products</li><li>Performing signal integrity simulations for multiple high-speed standards on each product. This includes determining the correct simulation methodology and setup to use, as well as a good understanding of the criteria for each interface.</li><li>Performing PCB design schematic and layout reviews</li><li>Creating actionable recommendations based upon design reviews and simulation results</li><li>Guiding connector design and component qualifications from a signal integrity standpoint. Making data driven decisions about the product functionality and areas for improvement.</li></ul> Requirements: <ul><li>Bachelor’s degree in Electrical Engineering.</li><li>Experience with interconnect design or experience with connector &amp;/or cable/cable assembly design (high speed twinax/RF cables, direct attach copper (DAC) cables)</li><li>Demonstrated experience using Signal integrity analysis tools (Agilent ADS, Ansys HFSS or equivalent)</li><li>A solid understanding of electromagnetic theory and electrical circuit behavior</li><li>Strong analytical capabilities to interpret simulation and lab data to identify issues and provide solutions to fix identified problem.</li><li>Familiarity with printed circuit board design, fabrication and assembly.</li><li>Excellent verbal and written communication skills</li><li>Ability to work in a global environment – able to accommodate varying time zones, fluent in English (verbal/written), able to collaborate with individuals across geographies</li><li>Solid presentation skills with an ability to clearly communicate technical concepts to diverse audiences in English</li><li>Individual must be highly motivated, a quick learner, and able to work independently</li></ul>

Responsibilities: <ul><li>Build comprehensive firmware verification plans for various firmware features.</li><li>Develop white/ grey-box, known, and closed system testing methods to verify and validate firmware products.</li><li>Analyze failures from weekly regressions and perform root-cause analysis, requiring deep SSD domain expertise.</li><li>Manage test development, test deployment, test automation, and reporting activities.</li><li>Communicate challenges, solutions, and mitigation plans to cross-functional teams and management with clear and effective communication of both technical and non-technical topics.</li><li>Participate in code reviews and guide the team to ensure comprehensive coverage and accurate architectural build.</li><li>Establish strong working relationships with firmware development engineers to improve code quality.</li><li>Lead a team of technical people, as required.</li></ul>&nbsp;Requirements: <ul><li>B.Sc. in Electrical Engineering, Computer Engineering, or Computer Science</li><li>6-8 years of pertinent experience in SSD firmware test development</li><li>Comprehensive understanding and substantial experience in SSD firmware testing and Python programming</li><li>Deep understanding of storage industry protocols such as PCIe, NVMe and NVMe-MI, with ability to design and develop tests aligned with specifications.</li><li>Familiarity with Agile/ Scrum development, GIT-based development workflow and branch management.</li><li>Experience with automated build, continuous integration, and test automation systems</li><li>Highly organized, creative, motivated, and passionate about achieving results</li><li>Ability to work on complex tasks independently with minimal supervision</li><li>Demonstrated leadership abilities and the capability to mentor less experienced engineers</li><li>Excellent problem-solving and analytical skills</li><li>Strong interpersonal and communication skills, and a great teammate</li></ul>

Responsibilities: <ul><li>Own and lead the process engineering function for cleanroom assembly, end-of-line test and pre-packing, ensuring safe, compliant and capable processes that meet cost, quality, safety and delivery targets.</li><li>Define department objectives, KPI dashboard and governance (e.g., NPI definition and handover lead times, first pass yields, failure rates, quality qppm) and drive execution through standard routines and reviews.</li><li>Lead, coach and develop a team of process engineers / technicians; set clear expectations, provide performance feedback, support competency development and ensure effective succession and talent retention.</li><li>Plan and manage resources (headcount, skills, priorities) to support daily manufacturing needs, escalations, and strategic projects; balance workload across product series and value streams.</li><li>Own process engineering deliverables for NPI or transfer projects: feasibility, process concept, capacity planning, industrialization roadmap, and readiness reviews to ensure on-time SOP.</li><li>Lead cross-functional collaboration with Product Design, Quality, Production, Maintenance, Supply Chain and global counterparts to deliver robust processes supported by Design for Manufacturing / Assembly / Test (DFM / DFA / DFT) improvements.</li><li>Own the strategy and budget for process equipment, tools, fixtures, testers and workstations; approve specifications, manage procurement, acceptance, validation and release to production.</li><li>Drive continuous improvement programs (CIP / Darwin) to improve throughput, cycle time, productivity and cost; support CIP events and ensure sustained gains through standardization.</li><li>Ensure effective utilization of PFMEA and other quality tools to manage and mitigate quality risks during process development, acceptance and production release.</li><li>Develop engineering procedures to govern end-to-end process engineering activities across process design, definition, industrialization, handover, sustainment and continuous improvements.&nbsp;</li><li>Ensure upkeep of process work instructions in D365 via Process Control System as per global standards, including revisioning control based on valid change management procedures.</li><li>Ensure robust management of engineering changes (ECR), process changes and deviations, including impact assessment, validation and controlled implementation.</li><li>Own 8D problem-solving governance for process-related issues, ensure timely root-cause containment / corrective and preventive actions, lessons learned, and clear communication to stakeholders.</li><li>Drive safety, ergonomics and regulatory / ISO compliance for process engineering scope; ensure safe equipment and process design through risk assessments.</li><li>Drive the sustainable deployment of state-of-the-art engineering solutions on the assembly shop floor to enhance quality control through robust error-proofing (poka‑yoke) mechanisms and digitalizations.</li><li>Act as the site focal point to align with global and process engineering counterparts on technology roadmaps, best practices and standardization.</li><li>Manage departmental reporting, change control and communication: provide clear status updates, risks and mitigation plans to operations and leadership.</li><li>Support ad hoc tasks as assigned by superior.</li></ul> Requirements: <ul><li>8–12+ years’ experience in manufacturing/precision mechanical assembly (high-mix preferred), with demonstrated ownership of end-to-end process engineering (process development/industrialization, cleaning / helium leak testing, and controlled-environment or cleanroom assembly where applicable).</li><li>Bachelor’s/Master’s degree in Mechanical, Manufacturing, Industrial Engineering or equivalent; formal training in Lean/Six Sigma and structured problem solving will be added advantage.</li><li>Proven people leadership experience (hiring, coaching, performance management) with the ability to lead technical teams and influence cross-functional stakeholders to deliver manufacturing results.</li><li>Strong written and spoken English communication skills, including the ability to produce clear technical documentation, present KPI performance, and communicate risks / mitigation to leadership.</li><li>Strong understanding of mechanical / pneumatic / electromechanical systems, process equipment and tooling, with experience defining specifications, commissioning, qualification / validation and release to production.</li><li>Demonstrated ownership and governance mindset - sets clear standards, drives disciplined execution, and maintains strong internal / external customer focus.</li><li>Strong prioritization, planning and project management skills to manage multiple workstreams (daily support, escalations, NPI, CIP) under tight timelines and resource constraints.</li><li>Strong technical acumen in quality planning processes especially in definition of process controls based on PFMEA.</li><li>Data-driven operational leadership: builds KPI dashboards, drives root-cause problem solving (8D / A3), and delivers sustained improvements in yield, throughput / cycle time and qppm.</li><li>Strong stakeholder management and change leadership - able to drive alignment across Production, Quality, Maintenance, Supply Chain and global counterparts; comfortable leading reviews and escalations.</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

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79 ai output validation Jobs found

Legal Workflow Automation Executive

Legal Workflow Specialist

Forward Deployed AI Strategist

Account Manager

Engineer, Staff/Manager (Wet Etch / Electroplating)

Sr. Manager, Quality & Reliability Engineering

R&D/Product Dvl Engineer II

Principal/Staff, Firmware and Product Test (SSD)

Process Engineering Manager

Senior Software Engineer AI

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79 ai output validation Jobs found

Legal Workflow Automation Executive

Legal Workflow Specialist

Forward Deployed AI Strategist

Account Manager

Engineer, Staff/Manager (Wet Etch / Electroplating)

Sr. Manager, Quality & Reliability Engineering

R&D/Product Dvl Engineer II

Principal/Staff, Firmware and Product Test (SSD)

Process Engineering Manager

Senior Software Engineer AI

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