GCP AI Engineer Boston, MA at Lumeris

Your Future is our FutureAt Lumeriswe believe that our greatest achievements are made possible by the talent and commitment of our team members. Thats 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.Position:GCP AI Engineer - Boston MAPosition Summary:Lead the design development and deployment of AI solutions on Google Cloud that elevate patient care and streamline healthcare operations. Your work will span data engineering model building and AI Opsdelivering intelligent production-ready healthcare applications and agents.Job Description:Key ResponsibilitiesHands-On Agent Development: Build troubleshoot and optimize agentic AI applicationsusing 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 modelsfocused on health tech applications like clinical decision support patient interaction and workflow automation using Vertex AI BigQuery Dataflow and Looker.Operational Reliability: Use GCPs 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 QualificationsBachelors or Masters in Computer Science Engineering Health Informatics AI or similar.4 years of hands-on engineering experiencedeveloping 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 CompetenciesExperience 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.Pay Transparency: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 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:$143190.00-$194467.50Benefits of working at LumerisMedical Vision and Dental PlansTax-Advantage Savings Accounts (FSA & HSA)Life Insurance and Disability InsurancePaid Time Off (PTO Sick Time Paid Leave Volunteer & Wellness Days)Employee Assistance Program401k with company matchEmployee Resource GroupsEmployee Discount ProgramLearning and Development OpportunitiesAnd much more...Be part of a team that is changing healthcare!Member Facing Position: No- Not Member or Patient Facing PositionLocation:Boston MATime Type:Full timeLumeris and its partners are committed to protecting our high-risk members & prospects when conducting business in-person. 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. If this role has been identified as member-facing proof of vaccination will be required as a condition of employment.Disclaimer: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.Lumeris is an EEO/AA employer M/F/V/D. Key Skills ASP.NET,Health Education,Fashion Designing,Fiber,Investigation Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 143190 - 194467