Senior Manager, IT Architecture – Generative AI & Services

Job not on LinkedIn

🔥 11 hours ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $126.5k - $235.5k / year

⏰ Full Time

🟠 Senior

💻 IT Support

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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L3Harris Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

L3Harris Technologies is a global aerospace and defense technology innovator, specializing in providing advanced solutions across air, land, sea, space, and cyber domains. The company focuses on delivering capabilities in areas such as autonomous systems, command and control, electronic warfare, and resilient communications, supporting both national security and commercial markets. Committed to innovation, L3Harris Technologies aims to advance technologies that enable their customers to effectively tackle the most complex challenges.

📋 Description

• 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

• 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

• 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