Principal AI Engineer

Velsera

7h

About The Position

Velsera builds software and infrastructure for precision medicine — research platforms, clinical and diagnostic applications, and the systems that keep them running in regulated environments. We are adding AI capability across that portfolio and inside our own operations: governed model access, self-hosted and managed LLM serving, evaluation and audit, and integration into the products and business processes people already depend on. This is a deliberately broad role. You will be deployed where the highest-value AI work is at the time — a customer-facing product capability in one quarter, an internal enterprise workflow in the next, a strategic account or funded program after that. The mandate stays the same wherever you land: design and ship production AI systems that hold up under real compliance requirements, work across AWS, Azure, and GCP, and leave behind reusable patterns rather than one-off builds. You will set technical direction for what is expected to grow into an AI platform and enablement team.

Requirements

• 7+ years in software engineering, including 3+ years shipping AI/ML systems to production.
• Strong Python, plus one of Java, Go, or TypeScript; comfortable in a polyglot codebase and in production code review.
• Hands-on experience with secure cloud architecture on at least one major cloud — network isolation, IAM boundaries, private connectivity, audit logging — and readiness to work in the others.
• Experience operating or integrating model serving across delivery modes: self-hosted open-weight models, managed model APIs, and customer-provided models.
• MLOps/LLMOps experience with tooling such as AWS Bedrock, Google Vertex AI, Azure AI Foundry, or equivalent.
• Built governance for ML/LLM systems: evaluation, versioning, approvals, rollout and rollback, deprecation.
• Comfortable designing for regulated or audited environments (HIPAA, 21 CFR Part 11, GxP, FedRAMP, SOC 2, GDPR, or similar).
• Experience with RAG and LLM tool-use/agentic patterns beyond prototypes, including how you evaluated them.
• Track record integrating with systems you don't own — existing products, third-party SaaS, enterprise data sources — without breaking them.
• Clear written communication for mixed audiences: engineering, product, security and compliance, business stakeholders, and scientists.
• Comfort switching context across problem domains and starting from ambiguous requirements.

Nice To Haves

• Experience in genomics, biomedical data, or life sciences platforms.
• Software built under a quality management system (ISO 13485, IEC 62304, IVDR) or in clinical/diagnostic contexts.
• Integrating AI capabilities into workflow or orchestration engines (CWL/WDL/Nextflow or similar).
• Familiarity with GA4GH standards (WES/DRS/TRS) and/or clinical data models (FHIR, OMOP).
• Enterprise systems integration: CRM, ERP, ITSM, document and quality management, collaboration suites.
• Production experience on more than one cloud, with pragmatic multi-cloud trade-off judgment.
• Experience on customer-funded or grant-funded engagements alongside product and services teams.

Responsibilities

• Build a governed model access layer — self-hosted open-weight models, cloud-managed models (Bedrock, Vertex AI, Azure OpenAI), and customer- or partner-supplied models — designed to be consumed by more than one product or business function.
• Integrate AI capabilities into product experiences and enterprise workflows across batch, interactive, and agentic patterns.
• Establish the patterns everyone else reuses: evaluation, versioning, approvals, audit trails, cost control, guardrails, and safe rollout and rollback.
• Partner with product, engineering, security, QARA/compliance, IT, and scientific and commercial teams to introduce AI-native architectures that people can actually adopt.
• Move between assignments as business priorities shift, and make what you build in one part of the business usable in the next.

Benefits

• We create collaborative and supportive environments by operating with respect and flexibility to promote mental, emotional and physical health.
• We practice empathy by treating others the way they want to be treated and assuming positive intent.
• We are proud of our inclusive diverse team and humble ourselves to learn about and build our connection with each other.
• We act with swift determination without sacrificing our expectations of quality.
• We are driven by providing exceptional solutions for our customers to positively impact patient lives.
• Considering what is at stake, we challenge ourselves to develop the best solution, not just the easy one.
• We hold ourselves accountable and strive for transparent communication to build trust amongst ourselves and our customers.
• We take ownership of our results as we know what we do matters and collectively we will change the healthcare industry.
• We are thoughtful and intentional with every customer interaction understanding the overall impact on human health.
• We ask questions and actively listen in order to learn and continuously improve.
• We embrace change and the opportunities it presents to make each other better.
• We strive to be on the cutting edge of science and technology innovation by encouraging creativity.
• We take our social responsibility with the seriousness it deserves and hold ourselves to a high standard.
• We improve our sustainability by encouraging discussion and taking action as it relates to our natural, social and economic resource footprint.
• We are devoted to our humanitarian mission and look for new ways to make the world a better place.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed