Senior AI Implementation Lead

Humana•Tampa, FL

1d•$80,900 - $110,300•Remote

About The Position

The Senior Technology Implementation Professional delivers new AI technological solutions to meet business needs within a specified scope while aligned to enterprise objectives. The Senior Technology Implementation Professional work assignments involve moderately complex to complex issues who specializes in AI applications architect where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Technology Implementation Professional gathers and documents business system and functional requirements, influences system design to optimize support and ensures solutions meet the business objectives and requirements for AI solution. Primary focus is to build scalable, secure and user-facing software applications powered by AI models. Completes and/or coordinates implementation of design and requirements, testing, operational readiness, and transition to the appropriate production support team. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and performs work without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Design workflows, interfaces and LLM orchestrations. Design resilient microservices, AP layers and backend pipelines to handle non-deterministic AI outputs and dynamic token streaming. Ensure data privacy and AI frameworks. Influence business partners on solutions, work with offshore and vendors to implement the best solution for the business needs.

Requirements

Bachelor's Degree in Computer Science, Engineering or a related technical field
3-5+ years leading enterprise AI/GenAI initiatives, including design, implementation, and production support of AI powered applications.
Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector databases, prompt engineering, and agent orchestration frameworks.
Responsible AI
Healthcare compliance
Business value realization
AI product delivery leadership
Azure OpenAI and Microsoft AI ecosystem experience
Experience implementing AI solutions on Azure or Google Cloud Platform.
Experience with Responsible AI practices including model governance, fairness, explainability, privacy controls, human-in-the-loop review processes, and regulatory compliance.

Nice To Haves

Master's Degree of Business Administration, Computer Science or a related field

Responsibilities

Delivers new AI technological solutions to meet business needs within a specified scope while aligned to enterprise objectives.
Gathers and documents business system and functional requirements.
Influences system design to optimize support and ensures solutions meet the business objectives and requirements for AI solution.
Builds scalable, secure and user-facing software applications powered by AI models.
Completes and/or coordinates implementation of design and requirements, testing, operational readiness, and transition to the appropriate production support team.
Designs workflows, interfaces and LLM orchestrations.
Designs resilient microservices, AP layers and backend pipelines to handle non-deterministic AI outputs and dynamic token streaming.
Ensures data privacy and AI frameworks.
Influences business partners on solutions.
Works with offshore and vendors to implement the best solution for the business needs.
Leads cross-functional teams consisting of business partners, architects, engineers, product owners, security teams, and vendors to deliver enterprise AI capabilities.