Forward Deployed Engineer
Leads end-to-end deployments of AI systems for life sciences customers, embedding with teams to identify issues, build production agents/workflows integrating with their infrastructure, and turn wins into platform patterns. Requires hands-on AI experience, 0-to-1 building, and clear communication across technical/non-technical audiences.
About the job
What You’ll Do
- Lead end-to-end deployments of Collate’s AI systems inside life sciences organizations — owning scoping, build, and production rollout from first conversation to measurable workflow impact.
- Go deep before you write a line of code. Embed with customer teams — medical writers, regulatory affairs, clinical ops — to understand what’s structurally broken, where the highest concentration of unsolved value lives, and what’s actually buildable.
- Design and ship production AI systems — document generation agents, agentic workflows, data pipelines — that integrate with customers’ existing infrastructure and regulatory environments.
- Define and run eval loops that measure system quality against workflow-specific benchmarks — acceptance criteria, output accuracy, reviewer expectations — and use that signal to improve deployed systems over time.
- Turn early wins into repeatable patterns. The best of what you build ships to every Collate customer. What you discover in the field directly shapes what gets built next — you’re a core feedback loop between customers and the product team.
- Communicate across every altitude. Translate technical tradeoffs into decisions and operating procedures for scientific, regulatory, and executive audiences — and bring that clarity back to Collate’s engineering and product teams.
What We’re Looking For
- You’ve owned customer-facing AI deployments end-to-end — from scoping through production adoption — and can point to shipped systems that drove measurable workflow impact.
- You have a 0-to-1 build track record. You’ve built production software from scratch in ambiguous environments and moved fast enough to learn — not just prototype.
- You have hands-on production AI experience: prompt engineering, agent development, evaluation frameworks, and deployment at scale — not just familiarity with the landscape.
- You’ve operated as a senior engineer or tech lead trusted to make technical decisions in ambiguous environments — without needing a defined spec or a clear path.
- You communicate clearly across every altitude — as comfortable in a strategic discussion with a CTO as you are deep in a codebase, and able to translate tradeoffs into decisions for non-technical stakeholders.
Bonus: you have context in life sciences, regulated industries, or document-heavy workflows — and understand what it means to build for auditability, compliance, and high-stakes review cycles.
You think like a founder. When you walk into a customer, you’re curious about the business, digging into what’s broken, and figuring out what to build that doesn’t yet exist. You’re scrappy, resourceful, and want to do it at a higher level of ambition.
Modern Tech Stack
Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, TypeScript & React for frontend development, and Python for AI & ML services.
Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models.
Skills
Go, Postgres, TypeScript, React, Python, AWS, Kubernetes, Terraform, Argo Cd, S3, Kafka, Opensearch, LLMs, Prompt Engineering, Agent Development
Similar jobs
Solutions Architecture jobsBuild, deploy, and operate production logistics software directly with enterprise customers. The role requires 4+ years shipping software, strong API or backend experience, and the ability to combine coding, architecture, and customer-facing problem solving.
Own complex strategic enablement engagements for major customers, advising on Greenhouse workflows, configurations, recruiting strategies, audits, and change management. Requires extensive Greenhouse knowledge, project management experience, and at least three years advising on talent-related functions.
Customer-facing Solutions Engineer responsible for proofs of concept, onboarding, technical demos, and enterprise customer success. The role requires development, systems engineering, or DevOps experience and strong communication skills, with familiarity with security infrastructure and developer workflows preferred.
Leads complex HCM integration implementations for strategic customers, advising on technical design, troubleshooting, change management, and best practices. Requires extensive Workday integration experience, strong consulting and communication skills, and the ability to manage multiple cross-functional projects.
Leads customer implementations for mid-market employers adopting ICHRA benefits, managing project plans, integrations, enrollment readiness, training, and cross-functional handoffs. Requires strong project management, customer communication, process discipline, and comfort with data integrations.