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.
Position:GCP AI ArchitectPosition Summary:We are seeking an AI Architect specializing in Google Cloud Platform (GCP), with deep experience in advanced AI agents, agentic AI systems, and cutting-edge AI tech stacks, tailored to the challenges and opportunities within the Health Tech sector. This role is instrumental in designing and delivering robust, compliant, and innovative AI-powered solutions for healthcare applications, leveraging GCP services and agent frameworks to drive clinical, operational, and patient-centered transformation.Job Description:Key Responsibilities
Architect Advanced Health AI Solutions: Design, implement, and optimize compliant, scalable, and efficient AI systems on GCP for health tech use cases, utilizing GCP technologies like Vertex AI, BigQuery, Dataflow, and Looker to support clinical analytics, decision support, and workflow automation.
AI Agent Expertise in Healthcare: Build and lead autonomous AI agents capable of supporting diagnosis, predictive analytics, personalized medicine, interoperability, and patient engagement using state-of-the-art LLMs and multi-agent architectures.
Agentic AI Solution Delivery in Health Tech: Develop multi-node, agentic AI models to power healthcare applications (e.g., retrieval augmented generation for literature synthesis, semantic search in medical records, state graphs/agentic memory for patient histories, API orchestration across EHR and imaging systems).
Innovate with New AI Tech Stacks: Employ modern AI libraries and frameworks (LangChain, LangGraph, Hugging Face) and integrate with cloud-native platforms, vector databases, and health data standards (FHIR, HL7).
Cross-Functional Collaboration: As a leader in the data science team, engage with clinical, Product, IT, and business teams to scope requirements and deliver AI solutions aligned with healthcare objectives, regulatory standards, and patient safety priorities.
Operationalize Healthcare AI/ML Models: Lead the deployment and monitoring of production-grade healthcare AI and ML models on GCP, validating clinical performance, reliability, and security.
Research & Thought Leadership in Health AI: Stay ahead of emerging methodologies (agentic AI, generative AI, reinforcement learning) and prototype novel health applications including clinical decision support, patient risk stratification, and population health management.
Mentorship & Best Practices: Mentor teams on AI model governance, health data privacy and security (HIPAA, GDPR), and ethical frameworks for AI in health; champion best practices in operational excellence and continuous improvement.
Required Qualifications
Master’s in computer science, AI, Machine Learning, Health Informatics, Engineering, or related field.
5+ years architecting AI/ML solutions; 2+ years building agentic AI or multi-agent systems, ideally with healthcare applications.
Deep expertise in GCP services: BigQuery, Vertex AI, Dataflow, Cloud Functions, and automation tools; experience integrating with health data ecosystems (EHR, HL7/FHIR).
Demonstrated ability developing autonomous agents/frameworks using LLMs and agentic methodologies (LangChain, LangGraph, OpenAI API), applied to clinical/nursing, operational, or administrative workflows.
Strong programming skills in Python; proficiency with AI/ML libraries (PyTorch, TensorFlow, Hugging Face); experience with health data analytics and interoperability.
Track record building enterprise-grade, AI-driven healthcare products that deliver actionable insights, automation, and improved patient outcomes.
Familiarity with reinforcement learning, multi-agent workflows, agent memory/state management, and safety/guardrails in healthcare contexts.
GCP Professional Cloud Architect and relevant AI/ML/Health Informatics certifications preferred.
Outstanding problem-solving, documentation, presentation, and stakeholder engagement skills.
Desired Competencies
Healthcare domain experience (clinical, analytics, R&D, or operational).
Experience developing and implementing GenAI or LLM-powered health applications (clinical summarization, coding, workflow automation).
Familiarity with advanced pipeline orchestration, backend services, and deployment strategies (Terraform, Docker, Kubernetes).
Strong understanding of healthcare privacy, security, compliance, and regulatory frameworks (HIPAA, GDPR, ISO 27001).
Passion for continuous learning and driving innovation in disruptive AI for healthcare.
This position offers an exciting opportunity to pioneer agentic AI and next-generation intelligent systems for the health tech domain. You will help transform patient experiences, clinical workflows, and healthcare delivery through advanced GCP-powered solutions.
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:
$165,335.00-$226,448.75Benefits 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!
Member Facing Position: No- Not Member or Patient Facing PositionLocation:MassachusettsTime 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.
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What We Do
Lumeris is a tech-enabled value-based care company driving the future of healthcare through cloud-native platforms, AI, and data engineering. We partner with health systems, payers, and physicians nationwide to improve patient outcomes, lower costs, and reimagine the clinical experience.
At the center of our technology strategy is Tom™, an industry-first AI-powered platform built on Google Cloud Platform. Tom uses advanced generative AI, agentic systems, and predictive analytics to reduce administrative burden, deliver real-time clinical insights, and help physicians focus on patients—not paperwork.
Our engineers, data scientists, and clinicians work together to tackle challenges like:
Designing scalable data pipelines that unify disparate health data (EHR, HL7, FHIR).
Building and deploying production-grade AI/ML models on Vertex AI, BigQuery, and Dataflow.
Operationalizing MLOps and AI Ops frameworks for speed, reliability, and compliance.
Embedding LLM-powered agents into clinical workflows and patient-facing applications.
Applying cloud-first design principles with modern stacks (Kubernetes, Terraform, Docker) to ensure scalability, security, and interoperability.
With more than a decade of experience in value-based care, Lumeris combines deep healthcare expertise with a startup mindset in tech innovation. Every project directly impacts patient health, provider satisfaction, and the way care is delivered at scale.
Why Work With Us
For engineers and builders, Lumeris offers the chance to work on hard technical problems with real-world impact: data modeling at population scale, responsible generative AI in regulated environments, and modernizing clinical workflows for millions of patients.
