Senior Manager, AI Enablement Engineer
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 with business leaders, data teams, governance, and AI Platform Engineering. The role provides technical direction for solution architecture, platform patterns, and production readiness; leads teams through prototyping, architecture, evaluation, and platform integration; and serves as the main interface with AI Platform Engineering. It ensures solutions meet enterprise requirements for security, risk, Responsible AI, observability, and governance, while establishing reusable patterns and accelerating successful use cases. The position is based in Dallas, Texas. A bachelor's degree in a relevant technical field is required; a master's degree is preferred. Equivalent hands-on experience leading AI or platform engineering teams is also considered.
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.
- Hands-on experience leading AI or platform engineering teams may be considered equivalent to the degree requirement.
Nice To Haves
- Master's degree, such as in Computer Science, 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 generative AI, 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
