Senior Manager, IT Architecture - Generative AI & Services (AI)

Location: Remote; security clearances may require U.S. citizenship and eligibility to access classified information.

Salary: $146,000–$271,000 for California, Connecticut, Massachusetts, New Jersey, Washington, Greater D.C., Denver, and NYC areas; $126,500–$235,500 for Colorado, Hawaii, Illinois, Maine, Maryland, Minnesota, New York state, Cleveland, Ohio, Vermont, and Virginia.

Company

Defense technology company delivering end-to-end technology solutions across space, air, land, sea, and cyber domains for national security missions.

What you will do

• Translate enterprise generative AI strategy into roadmaps with priorities, milestones, resourcing, success metrics, and executive reporting.
• Own the operations and lifecycle management of LLM chat services, AI coding assistants, model gateways, supporting infrastructure, and government-cloud deployments.
• Lead MCP server and enterprise integration development, establish reusable architectures and security standards, review designs and code, and resolve complex technical problems.
• Manage AI governance, acceptable-use policies, model and tool approvals, data classification, risk assessments, audits, and authorization activities.
• Hire, develop, retain, and manage technical professionals, including workload planning, performance reviews, staffing, and contractor coordination.
• Manage relationships with AI vendors and cloud providers, including roadmaps, escalations, contracts, training, budgets, and investment business cases.

Requirements

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

Nice to have

• Hands-on experience deploying and operating enterprise generative AI or LLM capabilities.
• Experience with AWS or Azure, preferably government cloud regions, including AWS Bedrock or Azure OpenAI, capacity planning, and cost management.
• Knowledge of ITAR, CUI, FedRAMP, CMMC, and other security and compliance requirements in regulated environments.
• Proficiency in Python or TypeScript and API-based integration.
• Experience maintaining project plans, timelines, deliverables, presentations, and adoption materials for diverse AI and services users.
• Experience building MCP servers, agentic workflows, or retrieval-augmented generation solutions.
• Experience operating enterprise LLM gateways or proxies such as LiteLLM.
• Experience writing AI governance policies and leading cross-functional review boards.
• Hands-on experience deploying and operating Kubernetes environments.

Culture & Benefits

• Remote work schedule with a 9/80 arrangement and every other Friday off.
• Inclusive environment focused on professional growth, work-life success, community commitment, and excellence.
• Health and disability insurance, 401(k) match, flexible spending accounts, EAP, and education assistance.
• Parental leave, paid time off, and company-paid holidays.
• Employment may involve background checks, pre-employment substance-abuse testing, and security investigations where permitted by law.