Senior Technical Lead

About The Job:

• Total Experience: 7+ Years

Must Have Skills:

• Agent-to-Agent (A2A) Protocol
• Google Gemini
• LangGraph
• Model Context Protocol (MCP)

Essential Job Functions:
Technical :

• Use Gemini Enterprise Agent Platform (GEAP) Enterprise Integration & To..., A2A), Agent development Framework - ADK, Langgraph, Memory Architecture & State Management Agent Ops to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
• Use Experience working in healthcare and lifesciences customers to implement domain-specific processes, rules, standards, and validations covering 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.
• 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.
• Follow approved designs and engineering standards while using the above tools on assigned tasks.

Functional :

• 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.
• Support stakeholder discussions, clarify assigned requirements, and escalate risks early.
• 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 4 to 7 years of relevant industry experience aligned to the Regular 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.

Qualifications:

• Agent-to-Agent (A2A) Protocol.
• Google Gemini.
• LangGraph.
• Model Context Protocol (MCP).
• Total Experience: 7+ Years.