GCP AI Engineer - Boston, MA

Your Future is our Future

At Lumeris, we believe that our greatest achievements are made possible by the talent and commitment of our team members. That's why we are actively seeking talented and collaborative individuals who are passionate about making a difference in the healthcare industry. Join us today as we strive to create a system of care that every doctor wants for their own family and become part of a community that values its people and empowers you to make an impact.

Key Responsibilities

• Hands-On Agent Development: Build, troubleshoot, and optimize agentic AI applications—using frameworks such as LangChain and LangGraph, Python, and Gemini APIs on Google Cloud, directly embedding agents into clinical workflows and patient-facing apps.
• AI Ops (MLOps) Implementation: Design and automate MLOps pipelines for model lifecycle management (training, validation, deployment, monitoring, and updates) utilizing GCP tools (Vertex AI Pipeline, Kubeflow, Cloud Build, Terraform). Ensure reproducibility, traceability, and reliability in live environments.
• Data Engineering for Healthcare: Construct secure, compliant data pipelines integrating multiple health data formats (EHR, FHIR, HL7), focusing on clinical data processing, validation engines, and interoperability with EMR systems like EPIC.
• Develop & Deploy AI/ML Models: Build, test, and deploy robust AI models—focused on health tech applications like clinical decision support, patient interaction, and workflow automation, using Vertex AI, BigQuery, Dataflow, and Looker.
• Operational Reliability: Use GCP’s Cloud Operations Suite (Stackdriver) and custom health-tech metrics for continuous monitoring, error troubleshooting, and distributed system reliability. Rapidly diagnose and resolve production issues.
• Security & Compliance: Apply best practices in privacy, IAM, VPC, and encryption for health data. Enforce regulatory compliance (HIPAA, GDPR) within all engineering work.
• Collaboration & Support: Work closely with clinical, product, and IT teams; provide hands-on technical support and documentation for operationalized systems in healthcare environments.
• Continuous Learning & Prototyping: Stay current with new GCP, agentic, and GenAI advances; contribute to prototypes, validation methods (including Turing Test compliance), and deployment of secure agent workflows.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, Health Informatics, AI, or similar.
• 4+ years of hands-on engineering experience developing and deploying AI/ML solutions on GCP, with direct experience in clinical/healthcare environments.
• Demonstrated expertise with MLOps and AI Ops (Vertex AI, Kubeflow, MLflow, CI/CD, monitoring, and workflow orchestration tools).
• Proven programming skills in Python, plus experience with Docker, Kubernetes, cloud automation, and Terraform.
• Direct experience creating agentic AI applications, troubleshooting APIs (Gemini, agent development kits), and deploying healthcare agents and RAG applications.
• Familiarity with clinical data standards (FHIR, HL7), EMR systems (EPIC), and best practices for data security and governance in health tech.
• Google Cloud Professional certifications (AI Engineer, DevOps, Cloud Architect, Data Engineer) highly desirable.
• Ability to commute to Cambridge office 3 times per week.

Desired Competencies

• Experience with operationalizing GenAI for healthcare (conversational agents, clinical summarization, documentation automation).
• Skill in data processing, workflow orchestration (Cloud Composer), and error troubleshooting for healthcare pipelines.
• Proven ability integrating trust frameworks, AI validation, and compliance methods into healthcare and agentic applications.

Strong stakeholder communication, technical support, and documentation abilities.

Factors that may be used to determine your actual pay rate include your specific skills, experience, qualifications, location, and comparison to other employees already in this role. In addition to the base salary, certain roles may qualify for a performance-based incentive and/or equity, with eligibility depending on the position. These rewards are based on a combination of company performance and individual achievements.

The hiring range for this position is:

Benefits of working at Lumeris

• 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

• And much more...

Be part of a team that is changing healthcare!

• The job description describes the general nature and level of work being performed by people assigned to this job and is not intended to be an exhaustive list of all responsibilities, duties and skills required. The physical activities, demands and working conditions represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individual with disabilities to perform the essential job duties and responsibilities.