Tech Lead — AI Infra & Security

DOT Compliance; Illinois; On-site; USD 140,000 - 190,000; Full time

Job summary

DOT Compliance seeks a Tech Lead for AI Infrastructure & Security to own AI infrastructure and security across our core platform and Agentic Suite. This hands-on role guides engineering teams rather than managing people, reporting to the Agentic BU owner.

You'll lead AI infra initiatives, drive AI-native R&D transformation, and shape secure, scalable AI systems. A strong background in infra and security is essential to influence architecture decisions.

Qualifications

• 5+ years leading engineering teams or technical initiatives at the intersection of infra, tooling, and delivery.
• Hands-on experience driving AI-native R&D transformation, not just using AI tools.
• Proven track record of measurably improving R&D workflow efficiency.
• Strong depth in infrastructure and security; able to defend architecture-level calls.
• Comfortable influencing as an individual technical leader through expertise.

Responsibilities

• Own the company's AI infrastructure—model access, tooling, evaluation, cost/performance tradeoffs.
• Drive AI-native R&D transformation within day-to-day engineering workflows.
• Own AI-related security posture: data handling, access control, secure use of third-party AI services.
• Be the go-to technical authority for AI tooling adoption and agentic patterns.
• Lead a small team (2-5 engineers) building and maintaining shared AI infra and tooling.

Skills

AI infrastructure

Security

R&D transformation

Engineering leadership

Tools

LangGraph

MCP-based tool architectures

Job description

Tech Lead — AI Infra & Security

• Product Management
• IL
• Senior
• Full-time

Description

We’re looking for a Tech Lead to be the company-wide focal point for AI utilization, infrastructure, and security — across both our core compliance platform and the Agentic Suite. This is a hands‑on technical authority role, not a management track: you'll lead a small team (2-5 engineers) while spending most of your time driving how the company builds with AI, not on people management. You'll report to the Agentic BU owner.

Responsibilities

• Own the company's AI infrastructure — model access, tooling, evaluation, cost/performance tradeoffs — across all engineering teams
• Drive AI-native R&D transformation: bring agentic development practices into day-to-day engineering workflows, not just the product
• Own AI-related security posture: data handling, model/tool access control, secure use of third‑party AI services
• Be the go‑to technical authority other teams pull in when adopting AI tooling or agentic patterns
• Lead a small team (2-5 engineers) building and maintaining shared AI infra and tooling
• Identify workflow inefficiencies across R&D and drive the infra/tooling changes that fix them

Requirements

• 5+ years leading engineering teams or technical initiatives at the intersection of infra, tooling, and delivery
• Direct, hands‑on experience driving an AI-native R&D transformation — not just using AI tools, but changing how a team builds with them
• Proven track record of measurably improving R&D workflow efficiency (not just proposing it)
• Strong technical depth in infrastructure and security — able to make and defend architecture‑level calls
• Comfortable operating as an individual technical leader — influence through expertise, not org size

Nice to have

• Experience in a regulated or compliance‑heavy environment
• Background with agent frameworks (LangGraph or similar) and MCP-based tool architectures
• Experience with AI infra security specifically (model access control, data isolation, audit logging for AI systems)