AI Platform Adoption & Enablement Lead

Role Overview

The AI Platform Adoption & Enablement Lead serves as a hands-on expert and enterprise advisor, helping teams successfully implement AI use cases while ensuring consistency with platform standards and long-term maintainability. This role is accountable for shaping how AI applications are built and operated, with particular emphasis on:

• AI application design and development patterns
• Observability, monitoring, and production performance
• Practical adoption of AI platforms, tools, and services
• Scalable implementation of enterprise AI use cases

Key Responsibilities

Provide hands-on guidance on how to design, build, and deploy AI applications across a variety of use cases (ML, GenAI, agentic AI)

Define and operationalize observability and monitoring frameworks for AI systems, including performance, drift, reliability, and usage tracking

Guide teams in implementing production-ready AI solutions, ensuring scalability, resiliency, and compliance with enterprise standards

Partner with product and engineering teams to shape and refine AI use cases, balancing feasibility, value, and technical complexity

Drive adoption of enterprise AI platforms, tools, and services through practical enablement and technical advisory

Establish and document best practices, patterns, and reusable approaches for AI application development and deployment

Support teams in evaluating and selecting appropriate models, architectures, and tools based on use case requirements

Ensure AI implementations align with enterprise expectations for security, risk, and governance

Preferred Qualifications

• Masters degree or equivalent work experience
• Strong hands-on experience delivering AI projects in production, including engineering, deployment, and monitoring of AI use cases
• Deep familiarity with Microsoft Azure AI suite and AWS AI offerings, with Azure as the primary platform
• Exposure to a wide range of AI platforms, tools, and models, including custom modeling and execution
• Experience with AI application delivery and use case development, not just machine learning or data science
• Leadership and people management skills, ideally with experience managing developers and data scientists
• Experience with agentic AI use cases and tools (e.g., LangChain, LangGraph, AI Foundry, Amazon Bedrock, 3rd party agentic capabilities thru vendors in CRM, ERP & other spaces), with deep knowledge to guide what will be more suitable for solving business problems using gen AI models, human agents, and AI agents and suggest strong technical design to promote reuse and scale for value

Hybrid/Flexible Schedule

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law