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Apprentice Generative Ai Engineer Jobs in Boston, MA

Manulife

AI Engineer - Hybrid

Boston, MA · Hybrid

The ideal candidate is passionate about AI and technology, a lifelong learner, and someone who actively follows the latest trends in AI Engineering, ML Engineering, Generative AI, LLMs, cloud-native ...

Pwc

AI Engineer

Boston, MA

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation. • Experienced backend engineer with a strong track ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation. • Experienced backend engineer with a strong track ...

Deloitte

Lead Generative AI Data Engineer III

Boston, MA · On-site

$111K - $146K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... processing, or generative artificial intelligence solutions. * 2+ years of experience using ...

Iberdrola

Lead Engineer - Cloud & Gen AI

Boston, MA · On-site

$60.50 - $81/hr

Benefits - Avangrid Job Summary The Lead Engineer, Cloud and Generative AI (Artificial Intelligence) is the Subject Matter Expert (SME) with designing, implementing, and managing scalable cloud ...

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All JobsApprentice Generative Ai Engineer JobsApprentice Generative Ai Engineer Jobs in Boston, MA

Apprentice Generative Ai Engineer information

See Boston, MA salary details

$15

$19

$26

How much do apprentice generative ai engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for apprentice generative ai engineer in Boston, MA is $19.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $23.75 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Boston, MA?

The most popular types of Generative Ai Engineer jobs in Boston, MA are:

What are popular job titles related to Apprentice Generative Ai Engineer jobs in Boston, MA?

For Apprentice Generative Ai Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Apprentice Generative Ai Engineer jobs in Boston, MA look for?

The top searched job categories for Apprentice Generative Ai Engineer jobs in Boston, MA are:

Apprentice Generative Ai Engineer jobs near you
Infographic showing various Apprentice Generative Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $41,552 per year, or $20 per hour.

GCP AI Engineer - Cambridge, MA

Lumeris, Inc.

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

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.
We're excited to consider every qualified candidate authorized to work in the United States, although we are unable to sponsor visas for this role at this time.
Position:
GCP AI Engineer - Cambridge, MA
Position Summary:
Lead the design, development, and deployment of AI solutions on Google Cloud that elevate patient care and streamline healthcare operations. This role is for engineers who ship end-to-end. You will own problems from definition through production-using AI as a core part of your workflow, not an occasional tool. Your work spans data engineering, model building, and AI Ops, delivering intelligent, production-ready healthcare applications and agents used by clinicians, care teams, and patients.
Job Description:
Key Responsibilities
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.

HandsOn Agentic & Generative AI Development
  • Build, troubleshoot, and optimize agentic AI systems using Python, LangChain, LangGraph, 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, BigQuery, 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.

Required Qualifications
  • 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.

Preferred / Nice to Have
  • 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, DevOps, Cloud Architect).

Work Environment
  • Based in Cambridge, MA

  • Hybrid schedule with 3 days onsite per week.

  • Collaborative, growth oriented team that values ownership, clarity, and real world impact.
    #LI-REMOTE

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 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:
$143,190.00-$194,467.50
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!
Member Facing Position:
No- Not Member or Patient Facing Position
Location:
Massachusetts
Time Type:
Full time
Lumeris 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.

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