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Ai Platform Engineer Jobs in Boston, MA (NOW HIRING)

MassMutual

AI Platform Engineer

Boston, MA

$163K - $215K/yr

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design ...

Harley Ellis Devereaux

AI Platform Engineer

Boston, MA · On-site

$120K - $170K/yr

AI Platform Engineer HED is hiring an AI Platform Engineer to build durable, production-grade AI agent systems that integrate with governed data. About HED We are a team that is full of ideas ...

Arrowstreet Capital

Senior AI Platform Engineer

Boston, MA · On-site

$200K - $325K/yr

As a Senior AI Platform Engineer, you will design and own the shared platform that powers AI systems firm-wide: inference services, agentic platforms, developer tooling, and observability. This is a ...

DATAECONOMY

Gen AI platform Engineer

Boston, MA · On-site

GenAI Platform Engineer Boston, MA Full-time role Experience: 10+yrs About the Role We'''''re looking for a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform ...

Hi Marley

Principal AI Platform Engineer

Boston, MA · On-site +1

As we continue to grow, we're looking for a Principal AI Platform Engineer to be a foundational hire on our new AI Operations team. This is the engineer who builds the plumbing of our internal ...

Hi Marley

Principal AI Platform Engineer

Boston, MA · On-site

As we continue to grow, we're looking for a Principal AI Platform Engineer to be a foundational hire on our new AI Operations team. This is the engineer who builds the plumbing of our internal ...

Hi Marley

Principal AI Platform Engineer

Boston, MA · On-site

As we continue to grow, we're looking for a Principal AI Platform Engineer to be a foundational hire on our new AI Operations team. This is the engineer who builds the plumbing of our internal ...

CYNET SYSTEMS

Senior AI Platform Engineer

Boston, MA · On-site

$55 - $60/hr

Build and extend an internal AI platform for creating, deploying, and managing AI-powered workflows using FastMCP. * Develop full stack applications and services in Python. * Build infrastructure to ...

MassMutual

AI Platform Delivery Director

Boston, MA

$148K - $194K/yr

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven Engineering professional to lead and grow the team that builds the infrastructure powering AI development across ...

SS&C

Director, AI Platform Engineering

Boston, MA

Director, AI Platform Engineering Locations : San Francisco, CA / Boston, MA / Waltham, MA / NY, NY | Hybrid Get To Know Us: SS&C Advent's financial solutions are going Agentic! And we're growing the ...

SS&C

Director, AI Platform Engineering

Waltham, MA

Director, AI Platform Engineering Locations : San Francisco, CA / Boston, MA / Waltham, MA / NY, NY | Hybrid Get To Know Us: SS&C Advent's financial solutions are going Agentic! And we're growing the ...

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for ai platform engineer in Boston, MA is $69.48, according to ZipRecruiter salary data. Most workers in this role earn between $54.86 and $80.19 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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

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

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

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

What cities near Boston, MA are hiring for Ai Platform Engineer jobs?

Cities near Boston, MA with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 56% Full Time, 40% Part Time, and 4% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $144,518 per year, or $69.5 per hour.

AI Platform Engineer

Massachusetts Mutual Life Insurance Company (MassMutual)

Boston, MA • On-site

Full-time

Re-posted 8 days ago

MassMutual rating

7.8

Company rating: 7.8 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

196th of 315 rated insurance

Job description

The Opportunity
MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design, deployment, set engineering standards, and drive the most complex platform initiatives from concept through production.
The Team
This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable.
The Impact
  • Define architectural direction at the AI platform component level-cloud infrastructure, AI serving layers, developer tooling, and reliability strategy-and translate it into a concrete, prioritized roadmap.
  • Lead design on one of the platform's most critical components-LLM gateway, multi-tenant compute isolation, model serving infrastructure, and enterprise integration patterns. Write ADRs that become the team's engineering standards.
  • Serve as the first point of technical escalation for hard engineering decisions. Run design reviews, provide deep technical feedback on pull requests, and pair with engineers on the gnarliest problems.
  • Own the technical execution of major platform initiatives end to end-scoping, sequencing work, managing technical risk, and driving to production without losing quality.
  • Lead platform reliability strategy: define SLOs, shape the observability strategy, lead incident reviews, and continuously raise the bar on platform stability and operational maturity.
  • Lead technical design of governance and compliance controls-data residency, access management, audit logging, and AI usage policies-to satisfy enterprise customer requirements and compliance frameworks.
  • Drive cross-team alignment with AI engineering, product, and cloud engineering teams; communicate technical trade-offs clearly and represent platform capabilities to senior stakeholders.
  • Raise the technical craft of the team through thorough design reviews, documentation habits, and hands-on pairing-without managing anyone directly.

The Minimum Qualifications
  • 5+ years in platform, infrastructure, or SRE, with a track record as a technical lead or staff-level IC with team-wide technical scope.
  • Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD) or equivalent AWS Certifications.
  • 3+ years experience in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure.
  • 3+ years experience of proven ownership of complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and technical risk throughout.

The Ideal Qualifications
  • Strong IaC and GitOps fluency: Terraform or Pulumi, ArgoCD, with experience standardizing platform tooling and deployment patterns across engineering teams.
  • Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns.
  • Experience mentoring engineers and influencing technical direction across teams.
  • Strong written communication: clear design docs, useful ADRs, and the ability to explain architectural decisions to both engineers and non-technical stakeholders.
  • LLM serving at scale-vLLM, Triton, Ray Serve-or experience with AI gateway design patterns.
  • Experience building an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience.
  • Strong grasp of AI safety, model evaluation, and governance frameworks.
  • Ability to lead through technical credibility-influencing design decisions, driving alignment, and raising quality without formal authority.
  • FinOps or GPU cost optimization experience across large inference workloads.
  • Open-source contributions to platform or ML infrastructure tooling.
  • Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any.

What to Expect as Part of MassMutual and the Team
  • Regular meetings with the AI Platform Engineering team
  • Focused one-on-one meetings with your manager
  • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
  • Access to learning content on Degreed and other informational platforms
  • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits

#LI-SC1
Salary Range:
$163,900-$215,000
At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component.
Why Join Us.
We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard.
We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual.
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

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