Engineering Lead (Forward Deployed)

About The Role

As a Staff/Principal-level Technical Lead, you will be the definitive architectural mind and engineering engine behind our most critical customers' success. Operating in a strategic "two-in-a-box" partnership with a Project Lead, you will drive the technical execution of enterprise engagements. In the Tech Lead capacity, you will own and independently manage multiple concurrent implementations, ensuring our AI-enabled solutions are integrated seamlessly, securely, and scalably into our clients' complex ecosystems. This role blends deep technical expertise with elite forward-deployed engineering, making you the primary technical authority in helping enterprise customers transform their infrastructure and workflows with AI.

What You’ll Do

• Drive the end-to-end technical execution of multiple concurrent enterprise engagements, in close partnership with the Project Lead, from technical discovery to production deployment.
• Architect and implement secure, highly scalable integrations between our AI platform and the client’s existing data pipelines, APIs, and infrastructure.
• Lead authoritative technical discovery sessions, architecture workshops, and data readiness assessments with customer IT, data, and engineering leadership teams.
• Build and customize robust AI-enabled solutions, scripts, and workflows that directly address the complex business problems identified through the sales process.
• Serve as the primary technical liaison—and escalation point—between customer engineering teams and our internal product, engineering, and data science teams to rapidly unblock deployments.
• Ensure all deployed solutions across your portfolio meet rigorous, enterprise-grade standards for performance, security, data privacy, and scalability.
• Debug complex integration issues, proactively manage technical risks across overlapping projects, and provide hands-on troubleshooting during the implementation phase.
• Contribute heavily to our internal codebase by documenting technical blueprints, developing reusable integration components, and providing critical product feedback based on real-world edge cases.

What We Need

Experience:

• 8+ years in software engineering, data engineering, or technical architecture (Staff/Principal Level): You have a proven track record of architecting, building, and deploying complex technical solutions at scale, ideally in SaaS, AI/ML, or cloud-native environments.
• Elite forward-deployed or client-facing engineering experience: You are highly comfortable writing