Consultant/ Senior Consultant/ Principal Consultant Talent Acquisition

AI Lead

Product Specialist

Digital Architect

Decoupling Architect

Enterprise Architect

Technical Product Owner

Full Stack Developer

Data Scientist- AI Architect

Principal Architect IAM

Responsibilities&nbsp; <ul><li>Manage the recruitment process end to end.</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers.</li><li>Verify job descriptions with the hiring manager and design interview questions that reflect the position’s requirements and attract talents to the company.</li><li>Determining selection criteria for the open positions, in line with the organization’s-culture and strategy.</li><li>Sourcing of potential candidates through different sourcing channels.</li><li>Screening of potential candidates and planning interviews and assessments.</li><li>Run regular updates to hiring managers.</li><li>Engaging with Senior Stakeholders&nbsp;.</li><li>Organize and lead feedback sessions and coordinate the hiring decision.</li><li>Propose employment offers in line with the client guidelines.</li><li>Ensure that the recruitment process is efficient, effective, and equitable.</li><li>Foster long-term relationships with candidates.</li></ul> Requirements&nbsp; <ul><li>6 to 15 years of experience in Talent Acquisition.&nbsp;</li><li>Must hold English &amp; Mandarin language proficiency.</li><li>Experience in hiring for IT and Non- IT positions&nbsp;.</li><li>Able to perform as an individual contributor and be hands-on.</li><li>Should have a recognized Master’s / Bachelor’s degree.</li><li>Well versed in social media, resume databases and professional networks.</li><li>Hands-on experience with full-cycle recruiting using interview techniques.</li><li>Good interpersonal and influencing skills.&nbsp;</li><li>Has the ability to engage senior stakeholders.</li><li>Growth mindset and learning agility.</li><li>Has a strong passion and desire to make a difference.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: <ul><li>Tactical problem solving and strategic planning of the Digital infrastructure through platform technology roadmaps</li><li>You may be asked to lead or manage a small team of infrastructure architects</li><li>Clear problem and requirement identification ties to business case/value definition</li><li>Design, construct, test and implement process and technology services and systems while adhering to established standards and architecture via leading established methodologies including Agile and Waterfall</li><li>Ensure appropriate documentation is developed in support of value realization</li><li>Plans tasks and estimates the required research and volume of activities to complete work</li><li>Researches issues, develops recommendations and actively participates on project teams to develop solutions to business problems related to a broad range of business and product issues</li><li>Responsible for creating and reviewing Application Architecture for Digital Applications and provide technical leadership in the evaluation of Digital solutions to satisfy business and technical requirements</li><li>Support Solution Architects in development of solution architectures that touches Digital solutions including evaluation, selection and integration of necessary technical components</li><li>Collaborate with Delivery Manager and is able to oversee the entire project life cycle</li></ul> Requirements: <ul><li>Qualifications for a job description may include education, certification, and experience.</li><li>List any licenses or certifications required by the position: TOGAF, ITIL, CPE, AWS, ACE, MCSE, ECM, AIIM, SSL, GCP</li><li>Typically a job would require a certain level of education.</li><li>Employers hiring for the digital architect job most commonly would prefer for their future employee to have a relevant degree such as Bachelors and Masters Degree in Computer Science, Engineering, Technical, Information Technology, Education, Business, Technology, Information Systems, Software Engineering, Mathematics</li></ul>

Responsibilities: <ul><li>Experience &amp; knowledge with Digital commerce, Hyper personalization, connected experience and able to articulate new systems around the theme.</li><li>Able to understand the downstream business process which stitches the technology and platforms for a new age Airline solution</li><li>Completely understands concept of Cloud Native, on ground journey to cloud success deliveries carried out, Scaled Enterprise Integrations done for larger transformation and consolidation systems for multiple organizations</li><li>Experience in orchestrating the solution shape up of large-scale processing and business services projects</li><li>Create business arch models that reflect client strategies and goals to cover the entire digital transformation journeys in IT landscape</li><li>Find ways in which to improve client IT departments functions to support client future goals mainly for all the digital platform landscape covering, Interactive, Mobility, Integrations Cloud systems</li><li>Deliver Technical Specifications end to end.</li><li>Design custom development solution that meet customer requirements</li><li>Progress through full development lifecycle for custom solution</li><li>Strong collaboration with team software engineer consultants onshore &amp; offshore</li><li>Deploy new solutions to production environments</li><li>Innovate on new ideas to solve customer needs &amp; assist to market internally new solutions</li><li>Provide project estimates and timelines to drive new business</li></ul> Requirements: <ul><li>Experience &amp; knowledge with Azure Cloud platforms. Strong Cloud Native knowledge</li><li>Good understanding of Amadeus reservation, ticketing, payment and loyalty solutions</li><li>Able to explore Amadeus core capabilities and enhance via orchestration with 3rd party partner services</li><li>Good experience in working with Payment aggregators</li><li>Experience &amp; knowledge with Web Analytics or Digital Marketing, Deep Understanding is must</li><li>Experience &amp; knowledge with FED frameworks like Angular, Native mobile mainly from Design aspects</li><li>Experience &amp; knowledge with Digital Integration / API Middleware platforms. Strong in Integration Architecture concepts</li><li>Experience &amp; knowledge with GenAI, ML/AI. Good to have knowledge</li><li>Experience &amp; knowledge with Customer Data Platform (CDP). Any tool knowledge</li><li>Experience as an enterprise technical or engineer consultant</li></ul>

The Role:This role is responsible for bridging the gap between IT Strategy and its execution through effective Enterprise Architecture Management. The Enterprise/Solution Architect will lead the development and implementation of application and technology roadmaps, ensuring alignment with overall business objectives. This role demands a strong understanding of emerging technologies, industry best practices, and the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.Responsibilities:Strategic Planning & Alignment:Connect IT strategy to execution through Enterprise Architecture Management.Develop and drive application/technology landscape strategies based on IT Strategy/Portfolio analysis.Create and manage the architecture roadmap for application portfolio transformation across various business domains.Technology Research & Recommendations:Research and stay informed on market trends, competitive landscapes, and emerging technologies.Recommend technologies, standards, methods, and tools to support both long-term strategic and short-term tactical business objectives.Provide guidance and recommendations on enterprise architecture strategies, blueprints, principles, patterns, processes, and methodologies.Governance & Compliance:Lead the enterprise architecture design authority governance.Collaborate with project architects and managers to ensure architectural compliance across projects.Experience & Expertise:Proven track record of developing and delivering enterprise-wide technology architecture plans that simplify and standardize applications.Extensive experience and knowledge in the CPG (Consumer Packaged Goods) industry.Strong understanding of solution design and delivery for applications and technologies related to Omni-Channel Ecommerce, CRM, Retail, Sales & Marketing, Finance & Supply Chain business processes.Knowledge of Salesforce Technologies (SFCC, SFMC, SFSC, Lightning & CG Cloud, etc.) is a plus. Proven ability to lead and guide IT and business stakeholders on target enterprise capability blueprints.Expertise in providing architecture recommendations for Cloud solutions (Azure, AWS, GCP), Enterprise integration patterns (API, Event, ESB), and Business Intelligence/Master Data Management technologies.Communication & Collaboration:Excellent communication skills with the ability to create impactful presentations. Ability to explain complex technical information effectively to both technical and non-technical audiences.Strong collaboration and interpersonal skills with a proven ability to influence stakeholders indirectly.Experience working with cross-functional teams and driving change within an organization.Project & Time Management: Ability to manage and deliver on both short-term and long-term goals. Strong project management and process experience, including accurate resource, timeframe, and budget estimation for projects and deliverables.Requirements:Bachelor's/Master's degree in Computer Science or equivalent experience in a technology-related field.8-12 years of strong technology experience, with a minimum of 3 years specifically in enterprise architecture.Certifications in industry-recognized standards such as TOGAF, Salesforce, Microsoft Azure/PowerPlatform, GCP, etc. are preferred.

The Role:Our Product team is seeking a Technical Product Owner with a passion for innovation and a dedication to delivering high-quality, differentiated data solutions within our clients integrated risk platform. At the core of our client's mission is the commitment to building a productive, safe, and sustainable world through innovative products and services. By seamlessly integrating domain expertise, data, and design, we tackle our customers' most pressing challenges, delivering solutions that make a difference every day.Are you driven to address complex analytics challenges in risk and compliance? Are you eager to collaborate with leading domain experts to overcome the data obstacles our customers encounter as they strive to decarbonize their operations? Are you passionate about developing actionable insights that enhance workplace safety?Responsibilities:You will collaborate closely with the Product Manager to lead the strategic development of the data platform roadmap, ensuring it is fully aligned with the company's overarching objectives.Cultivate strong partnerships with stakeholders across multidisciplinary engineering teams and departments, gathering critical requirements and designing innovative solutions.Utilize your deep expertise in data engineering to align technical capabilities seamlessly with business objectives.Take full ownership of the backlog for the data platform, prioritizing and managing it to ensure that all deliverables are strategically aligned and executed effectively.Develop detailed user stories and facilitate backlog refinement sessions to guarantee clear communication and alignment within the team.Maintain a strong grasp of emerging technology trends and developments, offering informed recommendations to elevate the platform's technical capabilities.Champion an agile mindset that extends beyond traditional frameworks, fostering an environment where engineering and product teams are empowered and operate autonomously.Leverage your experience within technical organizations to make strategic decisions regarding build-versus-buy scenarios.Contribute to the maintenance of comprehensive product and technical documentation, ensuring clarity and accessibility for both internal and external stakeholders.Requirements:University degree in Computer Science, Mathematics, Physics, or a related area Deep interest in Product Management, ideally with at least 2+ year experience working as a Technical Product Manager and/or Product Owner. Data engineering background with at least 3+ years working as a Software Engineer and/or Data EngineerExcellent communication skills, with the ability to understand stakeholder requirements clearly and translate this to the technical teams. Ideally, experience working with Azure Services and big data frameworks/tools.Solid understanding of how to build a modern and scalable big data systems.Has user-centric design mindset.Is comfortable working in an agile environment.Strong interpersonal and communication skills.Adaptable to an ever-changing development environment.Strong work ethic & high degree of integrity.

Responsibilities:Ensure Development Efforts related to integrations are tested (Primitive/Sanity tests)Ensure adequate Unit testing is conducted i.e. xUnit / nUnitEnsure codes are to meet quality standards i.e. Resharper, Sonarcube, solution meets passive criteria of user stories, solution meets passing criteria of user stories and that solution meets blueprintCollaborate with relevant stakeholders i.e. Architect and Business Analyst and Peers to ensure that a robust and elegant solution is of design standardsBuild web-based applications based on Microservices architecture in .Net core and C#Perform API debugging, logging and database query optimisationHave an eye for new technologies and be open to self-improving on existing methodsRequirements:Bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices with minimally 4 years in data engineeringProficient in SQL and NoSQLExperience in .NET technologies including .NET Core, Entity Framework, Web API, React, JavascriptExperience in building web-based applications based on microservices architecture in .Net Core and C#Experience in containerisation frameworks e.g. Docker, KubernetesUnderstanding of Microservice Architecture (MSA) and design patterns to build highly scalable modulesUnderstanding of authentication frameworks and data communication protocols like webSocketsUnderstanding of CI/CD environments or pipelinesProven ability to show work responsibility, excellent organisational, communication and interpersonal skillsProven analytical and problem-solving skills with the ability to work in an unstructured, fast-paced environmentAmbitious about learning and self-improvement particularly to acquire new technologiesPreferred Requirements:Experience in Mongo, Redis, RedisSearch, MsSQL

Responsibilities: As part of the Data Science organization at our client, the Generative AI team is working on digital transformation.We are developing enterprise solutions for Commercial, Technology and Operations functions. As an AI Engineer you will lead the design, development and adoption of new technology and analytics, help contribute to our AI strategy, and partner with leaders across the company.The role will involve collaborating with cross-functional teams to ensure the successful creation and roll-out of AI driven solutions.Role Type : Individual Contributor As AI Engineers you will perform work including: Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support AI applicationsPerform statistical analysis and data manipulation using language models.Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.Architect and design innovative AI solutions tailored to business requirements.Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.Communicate complex technical concepts and results to non-technical audiences effectively.Contribute to the development of AI strategies and governance for the organization.Stay current with advancements in AI and machine learning technologies and apply them to solve business challenges.Lead efforts to improve enterprise adoption and proficiency in the use of AI tools Requirements:10+ years of experience in data science, AI, or a related field preferred.Proficiency in software development and statistical analysis.Experience with Large Language Models and their applications.Strong communication skills and the ability to present technical results to business stakeholders.Experience with solution architecting and design preferred.Hands-on experience with cloud platforms such as Azure and/or AWS.Proficiency in programming languages such as Python, R, or similar.Strong problem-solving skills and the ability to work independently as well as part of a team.Bachelor's in Computer Science, Mathematics, Statistics, or a similar field. Master's or Ph.D. preferred.Preferred Qualifications: Experience with large language models and supporting workflows.History of project leadership and development.Familiarity with Agile development.Experience in applications related to sales, marketing, and market research a plus. 

Responsibilities: Engage with multiple teams of highly talented engineers and architects to design and develop highly scalable, secure and configurable identity solutions that meet the needs of our customers and stakeholders. Actively engage with leadership across Product, Architecture, Design and Engineering to design, propose, discuss and refine new features and functionality. Collaborate with other engineering teams, IT, and business stakeholders to understand requirements and deliver innovative identity solutions that meet organizational needs. Communicate with stakeholders on technical standards, principles, methodologies and trends. Enhance overall system operational characteristics by establishing best practices for code quality, reduction in tech debt, building frameworks or shared techniques to improve engineering effectiveness. Identify opportunities for refactoring, API changes, and other types of tech debt remediation. Influence management for driving technical decision-making for the right selection of technology by giving forthright, understandable, and actionable advice. Work with standards defining organizations to understand the evolving standards, identify gaps, provide inputs on platform gaps, contribute to roadmap planning to build world class CIAM platform. Drive decision-making with team members with different views for simple to complex problems with the business requirements to help synthesize the best solution. Requirements: You must have significant business knowledge and technical expertise in application design and architecture, as well as knowledge of related domains of technical architectures (network, security, and infrastructure engineering), information architectures, and data architectures. Expert in back-end development using Java EE technologies (e.g. Java language, application servers, servlet containers, JMS, JPA, Spring MVC, Hibernate). In-depth knowledge of identity management technologies, protocols, and standards, and competent in designing solutions for reliability, availability, scalability, and performance. In-depth knowledge of Identity standards such as OAuth 2.0, Open ID Connect, SCIM etc. Must be a self- starter, work independently or as a team member, and have strong communication skills in interfacing with business partners and the Technology. Strong OOP skills, with ability to analyze requirements and transform into scalable software designs. Experience with HTTP, REST API's and competent designing and building web services/microservices in a commercial setting. Knowledge of SQL and other/NoSQL/modern database and storage technologies. Desired understanding of Oracle, JDBC and ORM frameworks (e.g. Hibernate). Experience with Design Patterns, MVC and frameworks (e.g. Spring). Competent in software engineering tools (e.g. Java build tools) and best practices (e.g. unit testing, test automation, continuous integration, etc.). Serve as a strong advocate of code craftsmanship, good coding standards and use of tools that will improve the quality of the delivered code Experience with using Agile/Scrum methodology for software development Deep understanding of web services and SOA related standards like REST/OAuth/JSON and SOAP/WSDL. Extra credit: Provide your GitHub account or code samples with your resume! 

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36 principal domain architect Jobs found

Consultant/ Senior Consultant/ Principal Consultant Talent Acquisition

AI Lead

Product Specialist

Digital Architect

Decoupling Architect

Enterprise Architect

Technical Product Owner

Full Stack Developer

Data Scientist- AI Architect

Principal Architect IAM

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Skills

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Location

Jobtitle

36 principal domain architect Jobs found

Consultant/ Senior Consultant/ Principal Consultant Talent Acquisition

AI Lead

Product Specialist

Digital Architect

Decoupling Architect

Enterprise Architect

Technical Product Owner

Full Stack Developer

Data Scientist- AI Architect

Principal Architect IAM

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

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