| Job Description: | Roles & Responsibilities Partnering with domain SMEs to identify and prioritize business questions and processes to be exposed to AI agents. Designing and implementing MCP servers that aggregate: o Multiple domain APIs o Static or curated reference data o Supporting metadata and schemas required for accurate agent reasoning Implementing MCP servers using Humana Enterprise MCP infrastructure and tooling compliant with enterprise security governance and API standards. Ensuring MCP servers support low-latency high-accuracy responses suitable for real-time agent interactions such as Agent Assist. Delivering validated test results demonstrate functional correctness accuracy and performance against defined requirements. Providing documentation knowledge transfer and handoff materials to enable ongoing domain ownership and evolution. Provide subject matter experts (SMEs) for data APIs and business processes. Define and validate a prioritized list of: o Natural language questions the domain must answer o Business processes or actions that must be executed by AI agents Retain long-term ownership of the MCP server following v1.0 delivery. Generic Managerial Skills If any NA Key Words to search in Resume Model Context Protocol AI Solution Engineer Pre-Screening Questionnaire What are the core components of MCP How do you separate system context user context and runtime context How would you prevent context bloat and token explosion in MCP Which LLMs / GenAI platforms have you worked with hands on OpenAI / Azure OpenAI / Anthropic / open source Have you designed or deployed AI agents in production If yes what was the agent responsible for What is the largest AI solution you have taken end to end (design build deploy) *What are Regulated Positions Regulated Positions are those positions which requires TAG to recruit candidates with specific work authorizations Citizens (or) US Persons only as these may be regulated by any of the below listed per MSA. - ITAR (International Traffic in Arms Regulations). - NERC CIP (NERC Critical Infrastructure Protection). - NRC (Nuclear Regulatory Commission). - Any other regulations as appropriate. Role Descriptions: Strong understanding of Model Context Protocol (MCP) as a standard mechanism to expose domain data and business processes2. Ability to design MCP servers3. Backend API Engineering Hands-on experience designing and building MCP servers Strong skills in RESTful API design and integration4. Data Engineering Context Modeling5. AI Integration Agent Assist Enablement6. Performance Engineering7. Testing Validation Essential Skills: Strong understanding of Model Context Protocol (MCP) as a standard mechanism to expose domain data and business processes2. Ability to design MCP servers3. Backend API Engineering Hands-on experience designing and building MCP servers Strong skills in RESTful API design and integration4. Data Engineering Context Modeling5. AI Integration Agent Assist Enablement6. Performance Engineering7. Testing Validation Desirable Skills: Keyword: Skills: AI and Automation Experience Required: 8-10 |
Job Description: Roles & Responsibilities Partnering with domain SMEs to identify and prioritize business questions and processes to be exposed to AI agents. Designing and implementing MCP servers that aggregate: o Multiple domain APIs o Static or curated reference data o S...
| Job Description: | Roles & Responsibilities Partnering with domain SMEs to identify and prioritize business questions and processes to be exposed to AI agents. Designing and implementing MCP servers that aggregate: o Multiple domain APIs o Static or curated reference data o Supporting metadata and schemas required for accurate agent reasoning Implementing MCP servers using Humana Enterprise MCP infrastructure and tooling compliant with enterprise security governance and API standards. Ensuring MCP servers support low-latency high-accuracy responses suitable for real-time agent interactions such as Agent Assist. Delivering validated test results demonstrate functional correctness accuracy and performance against defined requirements. Providing documentation knowledge transfer and handoff materials to enable ongoing domain ownership and evolution. Provide subject matter experts (SMEs) for data APIs and business processes. Define and validate a prioritized list of: o Natural language questions the domain must answer o Business processes or actions that must be executed by AI agents Retain long-term ownership of the MCP server following v1.0 delivery. Generic Managerial Skills If any NA Key Words to search in Resume Model Context Protocol AI Solution Engineer Pre-Screening Questionnaire What are the core components of MCP How do you separate system context user context and runtime context How would you prevent context bloat and token explosion in MCP Which LLMs / GenAI platforms have you worked with hands on OpenAI / Azure OpenAI / Anthropic / open source Have you designed or deployed AI agents in production If yes what was the agent responsible for What is the largest AI solution you have taken end to end (design build deploy) *What are Regulated Positions Regulated Positions are those positions which requires TAG to recruit candidates with specific work authorizations Citizens (or) US Persons only as these may be regulated by any of the below listed per MSA. - ITAR (International Traffic in Arms Regulations). - NERC CIP (NERC Critical Infrastructure Protection). - NRC (Nuclear Regulatory Commission). - Any other regulations as appropriate. Role Descriptions: Strong understanding of Model Context Protocol (MCP) as a standard mechanism to expose domain data and business processes2. Ability to design MCP servers3. Backend API Engineering Hands-on experience designing and building MCP servers Strong skills in RESTful API design and integration4. Data Engineering Context Modeling5. AI Integration Agent Assist Enablement6. Performance Engineering7. Testing Validation Essential Skills: Strong understanding of Model Context Protocol (MCP) as a standard mechanism to expose domain data and business processes2. Ability to design MCP servers3. Backend API Engineering Hands-on experience designing and building MCP servers Strong skills in RESTful API design and integration4. Data Engineering Context Modeling5. AI Integration Agent Assist Enablement6. Performance Engineering7. Testing Validation Desirable Skills: Keyword: Skills: AI and Automation Experience Required: 8-10 |
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