GCP AI Engineer - Cambridge, MA

Position: GCP AI Engineer - Cambridge, MA

Lead the design, development, and deployment of AI solutions on Google Cloud that elevate patient care and streamline healthcare operations. You will own problems from definition through production—using AI as a core part of your workflow, not an occasional tool.

• End to End Ownership:
  Own features from problem framing through production deployment and iteration. Work with clinical, product, and engineering partners to define the right problem before building the solution. Stay accountable for outcomes after launch, including performance, reliability, and usability in real‑world healthcare settings.
• Hands‑On Agentic & Generative AI Development:
  Build, troubleshoot, and optimize agentic AI systems using Python, Lang Chain, Lang Graph, and Gemini APIs on Google Cloud. Embed AI agents directly into clinical workflows and user‑facing applications, not just prototypes. Design and deploy RAG‑based and conversational AI systems that are accurate, grounded, and trustworthy.
• AI Ops / ML Ops Implementation:
  Design and automate end‑to‑end ML pipelines covering training, validation, deployment, monitoring, and updates. Use Vertex AI, Kubeflow, Cloud Build, Terraform, and related tooling to ensure models are reproducible, observable, and reliable. Monitor production systems, detect drift, and iterate—treating “merge” as the beginning, not the end.
• Healthcare Data Engineering:
  Construct secure, compliant data pipelines integrating EHR, FHIR, and HL7 data formats. Support interoperability with EMR systems such as EPIC. Implement validation and quality checks appropriate for regulated healthcare environments.
• Develop & Deploy AI/ML Models:
  Build, test, and deploy models supporting clinical decision support, patient and clinician interaction, workflow automation. Leverage Vertex AI, Big Query, Dataflow, and Looker for scalable analytics and deployment.
• Operational Reliability:
  Use GCP Cloud Operations (Stackdriver) for monitoring, alerting, and troubleshooting. Rapidly diagnose and resolve production issues in distributed AI systems. Continuously optimize for performance, cost, and reliability.
• Security & Compliance:
  Apply best practices for IAM, VPC configuration, encryption, and secure access. Ensure compliance with HIPAA and healthcare data privacy standards.
• Collaboration & Support:
  Collaborate closely with clinical, product, and IT teams to translate complex needs into working AI solutions. Provide documentation, knowledge sharing, and hands‑on support for deployed systems.
• Continuous Learning & Prototyping:
  Stay current with advances in GCP, agentic AI, and generative AI. Prototype, test, and validate new AI workflows, moving successful ideas into production.

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Health Informatics, or related field.
• 4+ years of experience building or supporting production software or AI/ML systems, including meaningful exposure to Google Cloud.
• Experience with Python and modern AI/ML frameworks.
• Familiarity with containerized deployments (Docker, Kubernetes) and cloud‑native systems.
• Experience contributing to or supporting ML pipelines, model monitoring, or AI‑enabled services.
• Interest in or exposure to healthcare data or regulated environments.

• Experience with Vertex AI, Kubeflow, or GCP‑based ML workflows.
• Exposure to FHIR, HL7, or EMR systems (including EPIC).
• Experience building agentic AI, RAG systems, or conversational AI.
• Background in MLOps, model monitoring, or AI operations.
• Google Cloud certifications (AI Engineer, Dev Ops, Cloud Architect).

Based in Cambridge, MA. Hybrid schedule with 3 days onsite per week. Collaborative, growth‑oriented team that values ownership, clarity, and real‑world impact.

Hiring range: $ - $. Base salary may be supplemented by performance‑based incentive and/or equity, with eligibility depending on the position.

• Medical, Vision and Dental Plans
• Tax‑Advantage Savings Accounts (FSA & HSA)
• Life Insurance and Disability Insurance
• Paid Time Off (PTO, Sick Time, Paid Leave, Volunteer & Wellness Days)
• Employee Assistance Program
• 401k with company match
• Employee Resource Groups
• Employee Discount Program
• Learning and Development Opportunities

Member‑Facing Position:
No. Not Member or Patient Facing Position.

Lumeris is an EEO/AA employer M/F/V/D.

All personnel who interact with at-risk members or prospects are required to have completed, at a minimum, the initial series of an approved COVID‑19 vaccine.