Forward Deployed AI Strategist

SAP Lead

VP Security Engineer (AS400)

Senior Production Support Engineer – IDM Engineering (VP2)

Staff / Senior Engineer Electrical Facility Engineer)

Data Analyst

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

Sr. Application Developer

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>

Responsibilities: <ul><li>Lead and manage the SAP support team responsible for supporting global manufacturing operations.</li><li>Act as the key interface between business stakeholders, SAP functional teams, and external partners.</li><li>Drive post-go-live stabilization, continuous improvement, and process optimization initiatives across the SAP landscape.</li><li>Provide cross-functional oversight across SAP FICO, MM, PP, SD, and Security modules.</li><li>Ensure effective issue resolution and support delivery for business-critical processes.</li><li>Partner with regional and global stakeholders to understand business requirements and translate them into SAP solutions.</li><li>Support enhancement initiatives and contribute to process standardization across multiple sites.</li><li>Guide and mentor SAP Business Analysts while fostering collaboration and knowledge sharing within the team.</li><li>Monitor support performance and ensure service levels are maintained.</li><li>Contribute to the long-term SAP roadmap and help shape the SAP operating model.</li></ul> Requirements: <ul><li>Bachelors degree in Information Technology, Computer Science, Business Administration, or a related discipline.</li><li>Strong functional expertise in SAP, with preference for candidates possessing a FICO background.</li><li>Broad understanding of end-to-end business processes and cross-functional integration across MM, PP, SD, and Security.</li><li>Experience supporting SAP S/4HANA environments.</li><li>Hands-on experience in SAP implementation, rollout, or post-go-live support projects.</li><li>Strong understanding of manufacturing business processes and experience supporting manufacturing environments.</li><li>Ability to perform functional analysis, configuration, testing, and issue resolution.</li><li>Proven experience leading, mentoring, or managing SAP teams.</li><li>Strong stakeholder management and business partnering capabilities.</li><li>Experience working in regional or global environments with multiple business units or sites.</li><li>Excellent communication, analytical, and problem-solving skills.</li><li>Ability to operate effectively in a fast-paced and collaborative environment.</li><li>Preferred Qualifications</li><li>Experience in SAP S/4HANA Public Cloud environments.</li><li>Exposure to manufacturing system integrations and third-party applications.</li><li>Experience in establishing or supporting SAP Centres of Excellence or shared service environments.</li><li>SAP certification(s) would be advantageous.</li><li>Experience supporting global template environments and process standardization initiatives.</li></ul>

Responsibilities: <ul><li>Design, develop, deploy, maintain, and enhance infrastructure security capabilities for AS400 and Mainframe platforms.</li><li>Support day-to-day operations of the bank’s security suite of products with a focus on AS400 and Mainframe.</li><li>Manage and execute security related change requests related to AS400 and Mainframe systems.</li><li>Develop and maintain documentation including Security Standards, Access Control Baselines, and operational processes.</li><li>Identify and implement automation opportunities for AS400 System &amp; Security Administration.</li><li>Collaborate with Business and Systems Services teams to align infrastructure and application requirements with GIS-managed security solutions.</li><li>Provide production support and monitoring to ensure control efficacy and solution reliability.</li><li>Conduct product research, define requirements, and perform technical Proof of Concept for new security initiatives.</li><li>Contribute to the development and maintenance of AS400 security policies, standards, and procedures to ensure regulatory compliance and alignment with industry best practices.</li><li>Respond to audit and regulatory requests with timely and accurate information.</li></ul> Requirements: <ul><li>Diploma/Degree in Engineering/Computer Science/IT/Cyber Security from a recognized education institution</li><li>Professional security related qualifications (e.g., CISSP, CISA, CISM, etc.) will be favorable although not mandatory</li><li>At least 5 years of relevant experience in performing AS400 Security Administration and/or management of AS400 Application systems, with strong analytical and problem solving skills</li><li>Experience in managing projects (preferably AS400 related projects)</li><li>Hands on experience with AS400-related programming languages</li><li>Proven experience leading relevant security programs in large organizations</li><li>Strong understanding of regulatory requirements such as MAS TRM, PCI DSS, etc.</li></ul>

Responsibilities: <ul><li>Engage in day-to-day support activities including incident and problem management</li><li>Perform production deployments, patch activities on the supported applications and servers.</li><li>Work with product support/development team for permanent resolution/change review – all types including enhancements, bug fixes, etc.</li><li>Work with level 1 support in application knowledge transfer in establishing standard first level recovery process/system health check monitoring/scheduled activities as well as common application user queries.</li><li>Collaborate with internal stakeholders like application, business, infrastructure, security, and operations to continuously improve the stability of applications.</li><li>Develop support operational documents to summarize common support issues.</li><li>Develop reports and drive audit RFI’s and requirements.</li><li>Develop Linux scripts based on the requirements.</li><li>Provide after office hours’ standby support and for emergency recoveries, including managing major incident of critical services.</li><li>Expected to drive improvements through influence and strong relationships with managers in other teams.</li><li>Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution</li><li>Professional qualification in information security, such as CISSP / CISM / CEH, or data Security product certifications will be advantageous.</li><li>9 to 12 years relevant experience</li><li>Strong working knowledge on Oracle Identity Governance 12c, Oracle Database, WebLogic, BI Publisher, Oracle Connectors, Linux, Unix &amp; Windows Enterprise Server OS, with mixed skills around administration, performance tuning and troubleshooting</li><li>Working knowledge of Python, java, Java Scripts,</li><li>Knowledge in network infrastructure like Load balancers, Firewalls, SSL etc</li><li>Working Knowledge on Directory - LDAP and AD Databases</li><li>Strong knowledge of Oracle SQL and proficient in writing complex SQL queries with hands on experience with reporting tools along with excellent computational ability.</li><li>Strong understanding of cybersecurity principles and frameworks including ISO 27001 &amp; NIST Cybersecurity Framework;</li></ul>

Responsibilities: Operate &amp; Maintenance: <ul><li>Leads safe, compliant operation and maintenance of electrical infrastructure, establishes and controls MOS/SOP with strong change management, maintains accurate technical documentation, partners with Engineering, Operations, and EHS on regulatory compliance, drives risk and safety programs (FMEA, LOTO, arc flash, permits), and ensures full standards compliance and audit readiness.</li></ul> Reliability &amp; Risk Management: <ul><li>Drives root cause analysis for electrical disturbances, leads predictive and preventive maintenance programs, and strengthens system reliability to minimize unplanned downtime.</li></ul> Capacity Planning &amp; Tool Install: <ul><li>Plans and manages electrical load models across fab and facilities operations, ensures proper feeder loading, redundancy, and diversity, and reviews/approves designs while overseeing safe energization and commissioning.</li></ul> Projects &amp; Commissioning: <ul><li>Define acceptance criteria, test protocols, and witness critical tests.</li><li>Manage vendor performance and ensure documentation close out (O&amp;Ms, as builts).</li></ul> Power Quality &amp; Energy Performance: <ul><li>Monitor PQ and deploy mitigations (filters, SEMI F47 ride through, UPS tuning).</li><li>Drive energy efficiency projects (e.g., transformer loading optimization, UPS efficiency, busway losses, smart metering analytics).</li></ul> Requirements: <ul><li>At least a Bachelor’s degree in Electrical Engineering or equivalent.</li><li>Minimum 6 years of related work experience in Electrical Engineering within wafer fab/semiconductor</li><li>Experience in high volume manufacturing of electronics components in an MNC or semi-conductor industry.</li><li>Direct working experience in wafer fab facilities will be added advantage.</li><li>Possess strong technical competencies in his field of study.</li><li>Able to work under pressure and with strong commitment at work.</li><li>Experience with software applications such as MS Power Point, Excel and Word.</li></ul>

Responsibilities: Database Maintenance &amp; Support <ul><li>Assist in the maintenance of relational databases (Oracle, SQL Server).</li><li>Support schema creation, updates, normalization, and performance tuning.</li><li>Monitor data quality, identify inconsistencies, and help ensure data integrity across systems.</li></ul> Data Migration &amp; Platform Transition <ul><li>Support data extraction, transformation, and loading (ETL) during system migrations and platform upgrades.</li><li>Assist in transitioning data between legacy environments and modern systems, including Databricks.</li><li>Validate migrated data and document reconciliation results. Data Analysis &amp; Querying</li><li>Write and execute SQL queries for analysis, verification, and operational needs in Oracle and SQL Server environments.</li><li>Participate in exploratory and diagnostic analysis to uncover trends and support business decisions.</li></ul> Documentation &amp; Governance <ul><li>Maintain accurate documentation of data processes, transformations, and system behaviors.</li><li>Support compliance with organizational standards for data governance and metadata management.</li></ul> Requirements: Required Skills &amp; Qualifications <ul><li>Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or related field.</li><li>Foundational understanding of relational database concepts and SQL.</li><li>Introductory experience or coursework using Oracle, SQL Server, or similar RDBMS platforms.</li><li>Strong analytical thinking, attention to detail, and problem solving skills.</li><li>Ability to collaborate with technical teams in a fast paced environment.</li></ul> Preferred Skills &amp; Qualifications <ul><li>Exposure to Databricks or other big data / cloud analytics technologies.</li><li>Understanding of ETL concepts, data pipelines, or data transformation frameworks.</li><li>Familiarity with PL/SQL, SSIS, or other database programming tools.</li><li>Interest in learning modern data lake, delta, or virtualization technologies (e.g., Denodo).</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>

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 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain web applications using Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Implement and manage APIs and microservices architecture</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Identify and correct bottlenecks and fix bugs</li><li>Partner with business stakeholders and operations team to identify and manage KPIs</li><li>Evaluate the performance of processes, services, and outcomes and drive performance improvement</li><li>Independently solve complex issues, lead a team of junior and mid-level developers</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field. Minimum of 12-15 years offull stack development related work experience</li><li>Strong oral and written communication skills</li><li>Expert in Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Strong analytical skills with the ability to collect, organize, and analyze data</li><li>Attention to detail and accuracy is critical</li><li>Working knowledge of cloud platforms (e.g., AWS, Azure)</li><li>Adept at presenting findings in MS PowerPoint and MS Word</li></ul>

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54 cloud infrastructure Jobs found

Forward Deployed AI Strategist

SAP Lead

VP Security Engineer (AS400)

Senior Production Support Engineer – IDM Engineering (VP2)

Staff / Senior Engineer Electrical Facility Engineer)

Data Analyst

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

Sr. Application Developer

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54 cloud infrastructure Jobs found

Forward Deployed AI Strategist

SAP Lead

VP Security Engineer (AS400)

Senior Production Support Engineer – IDM Engineering (VP2)

Staff / Senior Engineer Electrical Facility Engineer)

Data Analyst

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

Sr. Application Developer

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.