Key skills
AzureCloudPythonPyTorchTensorflowAIMLLLMOpenAIRAGLangChainTensorFlowHugging FacePrototypingProduct ManagementCommunication
About this role
Role Overview
- Drive technical product vision, solution architecture, and hands-on prototyping for a major AI product area.
- Own product outcomes from discovery through pilot, scale, and ongoing optimization.
- Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI).
- Rapidly iterate on LLM-based applications, conversational AI, and intelligent automation.
- Partner directly with business stakeholders to deeply understand operational challenges, map complex processes, and translate them into actionable AI use cases with clear success metrics.
- Guide AI solutions through Humana’s multi-stage governance process—including AIRB, LRC, and Responsible AI reviews—by preparing technical documentation, scorecards, and market scans, and leading technical deep dives at each stage gate.
- Develop and apply robust evaluation frameworks to benchmark AI models, compare platform options, and ensure solutions meet business, technical, and regulatory standards.
- Author and maintain code libraries, reusable solution patterns, and technical playbooks to enable rapid, consistent AI delivery across multiple business lines.
- Provide technical mentorship to product managers, engineers, and data scientists; foster a culture of hands-on experimentation and continuous learning.
- Communicate technical strategy, risks, and business value clearly and effectively to executive, business, and technical audiences.
Requirements
- B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)
- 7+ years of relevant experience, with at least 3 years in technical product management or engineering roles focused on AI/ML solutions.
- Demonstrated ability to architect, build, and scale AI applications (including LLM-based solutions) in an enterprise environment.
- Hands-on expertise with AI/ML tools, frameworks, and cloud platforms (Python, PyTorch/TensorFlow, LangChain, vector databases, RAG architectures, prompt engineering, Azure/OpenAI, etc.).
- Experience with the full lifecycle of AI products: requirements gathering, prototyping, validation, deployment, and post-launch optimization.
- Familiarity with enterprise AI governance, responsible AI principles, and compliance requirements (including AIRB and LRC-style stage-gate reviews).
- Strong communication skills, with proven ability to bridge technical and business contexts.
Tech Stack
- Azure
- Cloud
- Python
- PyTorch
- Tensorflow
Benefits
- Work-Life Balance
- Generous PTO package
- Health benefits effective day 1
- Annual Incentive Plan
- 401K
- Excellent company match
- Well-being program
- Paid Volunteer Time Off