Senior Manager, IT Architecture - Generative AI & Services

L3Harris Technologies, Inc.
Washington, DC, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$146,000.0 - $271,000.0
Working hours
Regular working hours

Tech stack

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
+14 more
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

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., * 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.

Requirements

  • 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.

Benefits & conditions

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.

About the company

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

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., L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

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