Among computer and information systems managers, AI is already used for some of the tasks. Measured exposure for computer and information systems managers: 16% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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 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.

In compliance with pay transparency requirements, the salary range for this role in California, Connecticut, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $146,000- $271,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maine, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $126,500- $235,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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