Senior Manager, IT Architecture – Generative AI & Services

L3Harris Technologies

. Lead delivery and governance of enterprise generative AI capabilities .

Posted 10/21/2026full-timeRemote • Florida • United StatesSenior💰 $126,500 - $235,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading enterprise generative AI capabilities, ensuring compliance with ITAR, FedRAMP, and CMMC requirements, while managing AI platform operations and lifecycle. Proficient in Python or TypeScript, with hands-on experience in deploying LLM capabilities and managing cloud environments.

Highest-signal resume keywords

Enterprise Generative AI LeadershipITAR, FedRAMP, CMMC CompliancePython or TypeScript ProficiencyAWS or Azure ExperiencePeople Leadership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise Generative AI DeploymentLLM Capabilities ManagementAPI-Based IntegrationKubernetes OperationsMCP Server DevelopmentAI Governance Policy WritingProject ManagementCapacity PlanningCost ManagementAgentic Workflow Development

Soft Skills

Communication SkillsTeam LeadershipStakeholder ManagementProblem-SolvingPerformance Management

Tools & Technologies

AWS BedrockAzure OpenAILiteLLMAI Coding AssistantsModel Gateways

Industry Keywords

ITARCUIFedRAMP HighCMMCCybersecurity Compliance

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityKubernetesPythonTypeScript

About the role

Key responsibilities & impact

Lead delivery and governance of enterprise generative AI capabilities
Own the enterprise AI platform stack, including LLM services, AI coding assistants, model gateways, and MCP integrations
Ensure secure deployment within ITAR, FedRAMP High, and CMMC requirements
Translate enterprise AI strategy into roadmaps with priorities, milestones, resourcing, and success metrics
Evaluate emerging models, tools, and agentic capabilities and prioritize business use cases
Report adoption, productivity, cost, and risk to executive stakeholders
Own operations and lifecycle management for LLM chat services, AI coding assistants, and supporting infrastructure
Oversee model routing, access tiers, rate limits, logging, usage attribution, government-cloud deployments, data retention and residency, capacity, spend, throughput, licenses, availability, performance, patching, and incident response
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
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
Hire, develop, and retain technical professionals; set goals, conduct performance reviews, and support career development
Manage workload, priorities, staffing plans, and contractors as applicable
Serve as 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

What you’ll need

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
Hands-on experience deploying and operating enterprise generative AI / LLM capabilities
Experience with AWS or Azure, preferably 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 maintaining project plans, timelines, and associated deliverables
Experience creating presentations and artifacts to increase understanding and adoption across a diverse userbase
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

Comp & perks

Health and disability insurance
401(k) match
Flexible spending accounts
EAP
Education assistance
Parental leave
Paid time off
Company-paid holidays
9/80 schedule with every other Friday off