Technical Specialist

Must Have Skills:

Agentic AI

MLOps (Machine Learning Operations)

Technical Job Description
• Use Traditional AI/ML - Strong Agentic Development - ADK to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
• Keep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.
• Participate in code or configuration reviews and knowledge-sharing sessions to strengthen team capability on the above stack.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Own technical design decisions, code and configuration reviews, and standards for the above tools.
Functional Job Description
• Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 7 to 10 years of relevant industry experience aligned to the Senior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.