Senior Manager, IT Architecture – Generative AI & Services

This is a fully remote position, open to applicants in Florida.

📋 Description

• Lead the delivery and governance of enterprise generative AI capabilities.

• Take ownership of the enterprise AI platform stack, which includes LLM services, AI coding assistants, model gateways, and MCP integrations.

• Ensure secure deployment in compliance with ITAR, FedRAMP High, and CMMC standards.

• Convert enterprise AI strategy into actionable roadmaps encompassing priorities, milestones, resource allocation, and success metrics.

• Assess emerging models, tools, and agentic capabilities while prioritizing business use cases.

• Report on adoption, productivity, costs, and risks to executive stakeholders.

• Manage operations and lifecycle for LLM chat services, AI coding assistants, and associated infrastructure.

• Supervise model routing, access tiers, rate limits, logging, usage attribution, government-cloud deployments, data retention and residency, capacity, spending, throughput, licenses, availability, performance, patching, and incident response.

• Spearhead 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 issues.

• Maintain acceptable use policies, model and tool approvals, data classification rules, and risk assessments.

• Address ITAR/EAR, CUI, FedRAMP High, and contract requirements.

• Collaborate with Cybersecurity, Legal, Export Compliance, Privacy, and Contracts; assist with audits and authorization activities.

• Recruit, develop, and retain technical talent; set goals, conduct performance evaluations, and facilitate career growth.

• Manage workload, priorities, staffing plans, and contractors as needed.

• Act as the primary technical liaison with AI vendors and cloud service providers.

• Oversee roadmaps, escalations, and contract obligations.

• Communicate platform changes, training, and guidance.

• Contribute to budget planning and business cases for AI investments.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, coupled with a minimum of 12 years of relevant experience.

• Graduate degree with at least 10 years of relevant experience.

• Alternatively, a minimum of 16 years of relevant experience in lieu of a degree.

• At least 2 years of experience in people leadership or as a technical team lead.

• Hands-on experience in deploying and operating enterprise generative AI / LLM capabilities.

• Familiarity with AWS or Azure, ideally within government cloud regions.

• Working knowledge of ITAR, CUI, FedRAMP, or CMMC security and compliance requirements.

• Proficiency in Python or TypeScript and API-based integration.

• Experience in maintaining project plans, timelines, and associated deliverables.

• Skill in creating presentations and materials to enhance understanding and adoption among a diverse user base.

• Experience in building MCP servers, agentic workflows, or retrieval-augmented generation solutions.

• Experience managing enterprise LLM gateways or proxies like LiteLLM.

• Familiarity with AWS Bedrock and/or Azure OpenAI, including capacity planning and cost management.

• Experience in writing AI governance policies and leading cross-functional review boards.

• Practical experience in deploying and operating Kubernetes environments.

🏝️ Benefits

• Health and disability insurance.

• 401(k) matching.

• Flexible spending accounts.

• Employee Assistance Program (EAP).

• Education assistance.

• Parental leave.

• Paid time off.

• Company-paid holidays.

• 9/80 work schedule, providing every other Friday off.