About The Position

The Senior Manager, AI Enablement Engineering leads AI adoption and delivery for a designated business area. The role owns the AI opportunity portfolio and translates business priorities into scalable, production-ready AI capabilities. It leads a pod of AI Enablement Leads and AI Enablement Engineers and partners closely with business leaders, data teams, governance, and AI Platform Engineering. The position provides technical direction on solution architecture, platform patterns, and production readiness, and ensures solutions meet enterprise requirements for security, risk, Responsible AI, observability, and governance. It also establishes reusable patterns and helps successful use cases scale across the business.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Strong working knowledge of LLMs, agentic AI, RAG, MCP, vector search, agent orchestration, AI evaluation, Python/APIs, cloud AI platforms, Databricks, CI/CD, identity/security, and observability.
  • Equivalent hands-on experience leading AI or platform engineering teams is considered.

Nice To Haves

  • Master's degree (e.g., CS, AI/ML, or an MBA with a technical background).

Responsibilities

  • Own and prioritize the business area's AI use-case portfolio, from discovery and intake through production and value realization.
  • Partner with business leaders to identify high-value opportunities across GenAI, agentic AI, machine learning, and automation.
  • Provide technical direction on solution architecture, platform patterns, and production readiness.
  • Lead AI Enablement Leads and Engineers through rapid prototyping, architecture, evaluation, and platform integration.
  • Serve as the key interface with AI Platform Engineering, translating business demand into platform requirements and driving adoption of reusable enterprise capabilities.
  • Ensure solutions meet enterprise requirements for security, risk, Responsible AI, observability, and governance.
  • Establish reusable patterns and accelerate successful use cases across the business.

Benefits

  • Flexible benefit programs designed to support family, financial, physical, mental, and social health needs.
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