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# Senior Manager, IT Architecture - Generative AI & Services

- **Company:** L3Harris Technologies, Inc.
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $146,000.0 - $271,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cyber Security, Information Systems, Data Retention, Python (Programming Language), OpenAI, TypeScript, Data Logging, Data Classification, Retrieval-Augmented Generation, Large Language Models, IT Architecture, Software Security, Generative AI, AI Coding Agents, Agentic-AI, AI Platforms, Kubernetes, Information Technology, Enterprise Integration, LiteLLM, Api Design, Model Context Protocol, Programming Languages
- **Published:** October 22, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9260104/senior-manager-it-architecture-generative-ai-services

## About the Role

* Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, and a minimum of 12 years of prior related experience. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience.
 * Minimum of 2 years of people leadership or technical team lead experience.

Preferred Additional Skills:

 * Hands-on experience deploying and operating enterprise generative AI / 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 userbase 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.

## Description

The Sr. Manager, Generative AI & Services leads the delivery, and governance of enterprise generative AI capabilities. This role owns the enterprise AI platform stack, including large language model (LLM) services, AI coding assistants, model gateways, and Model Context Protocol (MCP) integrations, and ensures secure deployment within ITAR, FedRAMP High, and CMMC requirements. The manager leads technical professionals and combines hands-on technical leadership with people management, and enterprise governance., * AI Implementation: 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; report adoption, productivity, cost, and risk to executive stakeholders.

 * Enterprise AI Platform Ownership: 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. Ensure availability, performance, patching, and incident response.
 * Integration and MCP Development: 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.
 * AI Governance, Security and Compliance: 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; support audits and authorization activities.
 * People Leadership: Hire, develop, and retain technical professionals; set goals, conduct performance reviews, and support career development. Promote secure engineering, documentation, and continuous learning. Manage workload, priorities, staffing plans, and contractors as applicable.
 * Stakeholder and Vendor Management: Serve as the primary technical liaison with AI vendors and cloud providers. Manage roadmaps, escalations, and contract requirements. Communicate platform changes, training, and guidance; contribute to budget planning and AI investment business cases.