Senior Manager, IT Architecture - Generative AI & Services

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L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Senior Manager, IT Architecture - Generative AI & Services

Job Code: 46305

Job Location: Remote

Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off

Job 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.

Essential Functions:

• 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.

Qualifications:

• 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 co…