Tech Lead — AI Infra & Security
About Dot Compliance
Dot Compliance provides a ready-to-deploy, Salesforce-native eQMS with the industry’s first AI specifically built to deliver safe, reliable decision guidance for critical quality issues. This offers faster, more proactive quality and compliance through vertical AI that empowers data-driven decision making in life sciences quality and compliance.
The company’s solutions are trusted by life sciences companies, both large and small, worldwide. The solutions are fully compliant with 21 CFR part 11, EU Annex 11 and support ISO 9001, 13485, 14971, and 27001.
Who we’re looking for
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
Do you have what we’re looking for?
- 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)