AI Platform Engineer

Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in platform, infrastructure, or SRE roles with ownership of platform components.
  • 2+ years in cloud-native architecture across AWS, GCP, or Azure.
  • Experience delivering platform features from development to production.
  • 2+ years using IaC and GitOps tools like Terraform or Pulumi.

Responsibilities

  • Design and implement components for the AI platform with senior engineers' guidance.
  • Take ownership of critical features like LLM gateway and model serving infrastructure.
  • Participate in design reviews and provide feedback on engineering challenges.
  • Manage and execute platform initiatives from start to finish.
  • Contribute to platform reliability by helping establish Service Level Objectives.
  • Implement governance and compliance controls within established patterns.
  • Collaborate across teams to communicate technical contexts and trade-offs.

Benefits

  • Regular team meetings to foster collaboration.
  • Focused one-on-one meetings for professional development.
  • Access to diverse networking opportunities through Business Resource Groups.
  • Learning resources available on Degreed and other platforms.
  • Company values ethics and integrity in business practices.
Full Job Description
AI Platform Engineer | AI Platform Engineering

Full-Time Hybrid Onsite (3 days/week in office)

The Opportunity

MassMutual's AI Platform Engineering team is seeking a skilled AI Platform Engineer to contribute to the design, development, and operation of our growing AI platform. You will work on meaningful platform challenges, collaborate closely with senior engineers, and take ownership of platform components that power MassMutual's AI initiatives.

The Impact
  • Contribute to the design and implementation of platform components-cloud infrastructure, AI serving layers, and developer tooling-with guidance from senior engineers.
  • Take ownership of discrete features or modules within critical platform systems such as the LLM gateway, model serving infrastructure, and enterprise integration patterns. Participate in writing ADRs and technical documentation.
  • Participate in design reviews, contribute constructive feedback on pull requests, and collaborate with teammates on complex engineering challenges.
  • Execute platform initiatives end to end within your scope-breaking down tasks, managing your work, and delivering quality outcomes in production.
  • Support platform reliability efforts: contribute to Service Level Objective definitions, implement observability instrumentation, participate in incident response, and help improve platform stability.
  • Implement governance and compliance controls-data residency, access management, audit logging-in alignment with enterprise requirements and established patterns.
  • Collaborate with AI engineering, product, and cloud engineering teams; communicate technical context and trade-offs clearly in cross-functional settings.
  • Contribute to team documentation habits, code quality, and shared engineering standards.


The Minimum Qualifications
  • 2+ years of experience in platform, infrastructure, or SRE roles, with demonstrated ownership of platform components or services.
  • 2+ years of experience with cloud-native architecture across AWS, GCP, or Azure-containerized deployments, managed services, and basic multi-tenancy patterns.
  • 2+ years of experience delivering platform features from development through production, with the ability to manage ambiguity within a defined scope.
  • 2+ years of experience working with IaC and GitOps tools: Terraform or Pulumi, ArgoCD, and standard deployment patterns.


The Ideal Qualifications
  • Familiarity with Kubernetes (CKA, CKAD, or equivalent AWS certifications a plus); working knowledge of cloud-native concepts including managed services, networking, and identity.
  • Exposure to AI/ML infrastructure: model serving, inference pipelines, or LLM integration patterns.
  • Clear written communication: ability to produce useful technical documentation and explain implementation decisions to teammates.
  • Hands-on experience with LLM serving frameworks-vLLM, Triton, Ray Serve-or familiarity with AI gateway patterns.
  • Exposure to FinOps principles or GPU cost considerations in inference workloads.
  • Experience contributing to internal developer platforms (IDPs) with an appreciation for developer experience.
  • Open-source contributions to platform or ML infrastructure tooling.
  • Ability to influence peers through technical credibility and collaborative problem-solving.
  • Comfort operating in ambiguous environments, with a habit of asking good clarifying questions and building shared understanding.


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:
$134,400-$176,400

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.

About Massachusetts Mutual Life Insurance Company (MassMutual)

Massachusetts Mutual Life Insurance Company (MassMutual) Careers

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Career growth at Massachusetts Mutual Life Insurance Company (MassMutual) is propelled by continuous learning and development opportunities. The company invests in diversity training, leadership programs, and innovation workshops to ensure that every team member has the resources to advance their career. Employees are encouraged to expand their knowledge base and acquire new skills through various training and development programs.

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