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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.

Use your skills to make an impact

Required Qualifications

• 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.
• Lead cross-functional teams consisting of business partners, architects, engineers, product owners, security teams, and vendors to deliver enterprise AI capabilities

Preferred Qualifications

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

Additional Information

Work-At-Home Requirements

• WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
• A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
• Satellite and Wireless Internet service is NOT allowed for this role.
• A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.Travel: While this is a remote position, occasional travel to Humana’s offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certi…