Velsera
biomedical
PrincipalAIEngineer
“Principal AI Engineer at Velsera. Skills: AI platform layer development, Production AI systems design and shipping, Compliance-focused AI architecture, Multi-cloud AI strategy, MLOps, LLM serving and governance. Design and ship production AI systems that meet compliance needs. Build a governed model access layer”
What You'll Achieve.
Accelerate the discovery, development, and delivery of life-changing insights; Ship production AI systems that meet compliance needs; Ship capabilities customers can adopt; Improve the existing production platform without breaking customer reliance
Industry & Context.
What They're Looking For.
Must Have
7+ years in software engineering, 3+ years shipping AI/ML systems to production, Python, Java/Go/TypeScript, Hands-on experience with secure cloud architectures on AWS (network isolation, IAM boundaries, private connectivity, audit logging), Experience operating or integrating model serving across options: self-hosted open-weight models, managed model APIs (e.g., Bedrock), and customer-provided models, MLOps experience using AWS Bedrock, Google Vertex AI or similar, Built governance for ML/LLM systems (evaluation, versioning, approvals, rollout/rollback, deprecation), Comfortable designing for regulated environments (FedRAMP, HIPAA, 21 CFR Part 11, GxP, or similar), Experience with RAG and LLM tool-use/agentic patterns beyond prototypes, Clear written communication for mixed audiences (engineering, product, security/compliance, and scientists)
Nice to Have
Experience in genomics, biomedical data, or life sciences platforms, Integrating AI capabilities into workflow engines (CWL/WDL/Nextflow) or similar orchestration systems, Familiarity with GA4GH standards (e.g., WES/DRS/TRS) and/or clinical data models (FHIR/OMOP), Production experience on both AWS and comfort making pragmatic multi-cloud trade-offs
What You'll Do.
Design and ship production AI systems that meet compliance needs
Build a governed model access layer
Integrate AI capabilities into platform experiences
Establish patterns for evaluation
and scientific teams to introduce AI-native architectures and ship capabilities customers can adopt
Build a production-ready
compliant AI/LLM serving and invocation layer for Seven Bridges
Build a clear governance workflow for models
Build a first set of 'AI in the platform' features shipped end-to-end
Build integration patterns that keep workflows reproducible and standards-aligned
Ensure operational readiness: monitoring
and measurable SLOs for key AI services
How You'll Work.
Team & Collaboration
Partner with product, security/compliance, and scientific teams
Communication Scope
Clear written communication for mixed audiences (engineering, product, security/compliance, and scientists)
Applying for this Principal AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Velsera?
Real rants from real employees. Read before you apply.