Senior Manager, IT Architecture - Generative AI & Services

L3Harris Technologies•Tallahassee, FL

3d•$126,500 - $271,000•Remote

About The Position

The Senior Manager, Generative AI & Services leads the delivery and governance of enterprise generative AI capabilities. The role owns the enterprise AI platform stack—including large language model services, AI coding assistants, model gateways, and Model Context Protocol (MCP) integrations—and ensures secure deployment within ITAR, FedRAMP High, and CMMC requirements. It combines hands-on technical leadership, people management, and enterprise governance.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and at least 12 years of prior related experience; or a graduate degree and at least 10 years of prior related experience; or, in lieu of a degree, at least 16 years of prior related experience.
At least 2 years of people leadership or technical team lead experience.

Nice To Haves

Hands-on experience deploying and operating enterprise generative AI or LLM capabilities.
Experience with AWS or Azure, preferably government cloud regions.
Working knowledge of security and compliance requirements in regulated environments, including ITAR, CUI, FedRAMP, or CMMC.
Proficiency in a programming language such as Python or TypeScript and API-based integration.
Experience maintaining project plans, timelines, and associated deliverables.
Experience creating presentations and artifacts to increase understanding and adoption across a diverse user base of AI/services consumers.
Experience building MCP servers, agentic workflows, or retrieval-augmented generation solutions.
Experience operating enterprise LLM gateways or proxies such as LiteLLM.
Experience with AWS Bedrock and/or Azure OpenAI, including capacity planning and cost management.
Experience writing AI governance policy and leading cross-functional review boards.
Hands-on experience deploying and operating Kubernetes environments.

Responsibilities

Translate enterprise AI strategy into a roadmap with priorities, milestones, resourcing, and success metrics; evaluate emerging models, tools, and agentic capabilities; prioritize business use cases; and report adoption, productivity, cost, and risk to executive stakeholders.
Own operations and lifecycle management for LLM chat services, AI coding assistants, and supporting infrastructure; oversee model routing, access tiers, rate limits, logging, and usage attribution; manage government-cloud deployments, data retention and residency, capacity, consumption spend, throughput, and licenses; and ensure availability, performance, patching, and incident response.
Lead MCP server and enterprise integration development; establish reusable architectures and security standards for AI integrations and agentic workflows; review designs and code, prototype capabilities, and resolve complex technical problems.
Maintain acceptable use policies, model and tool approvals, data classification rules, and risk assessments; address ITAR/EAR, CUI, FedRAMP High, and contract requirements; partner with Cybersecurity, Legal, Export Compliance, Privacy, and Contracts; and support audits and authorization activities.
Hire, develop, and retain technical professionals; set goals, conduct performance reviews, support career development, promote secure engineering, documentation, and continuous learning, and manage workload, priorities, staffing plans, and contractors as applicable.
Serve as the primary technical liaison with AI vendors and cloud providers; manage roadmaps, escalations, and contract requirements; communicate platform changes, training, and guidance; and contribute to budget planning and AI investment business cases.