Jobs Companies MassMutual AI Platform Engineer

Sobre esta vaga de AI Platform Engineer na MassMutual

MassMutual · Presencial · Boston, MA

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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Como este salário de DevOps se compara

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Sobre a MassMutual

At MassMutual, we believe in the value of being together in our offices and in personal flexibility. Our work environment is one where the majority of our team members work a hybrid schedule — working at least three days in the office (Tuesday, Wednesday and a third day) and the rest remotely, balancing flexibility with in-person collaboration. While the majority of our employees follow this hybrid model, some of our roles continue to be 100% on-site and others may be 100% remote, subject to business needs. MassMutual is guided by a single purpose: We help people secure their future and protect the ones they love. As a company operated for the benefit of our members, policyowners and custome

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