AI Platform Engineer

MassMutual

. Contribute to platform components including cloud infrastructure, AI serving layers, and developer tooling under senior engineer guidance .

Posted 9/17/2026full-timeBoston • New York • United StatesJuniorMid-Level💰 $104,900 - $137,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates foundational understanding of cloud computing and programming proficiency in languages such as Python, Go, or Java. Capable of supporting AI/ML systems and collaborating effectively within a team environment while taking ownership of tasks and learning continuously.

Highest-signal resume keywords

Cloud ComputingProgramming Proficiency in Python, Go, or JavaCI/CD and Containers (Docker/Kubernetes)AI/ML Frameworks or LLM APIsVersion Control (Git)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud ComputingProgramming Proficiency in PythonProgramming Proficiency in GoProgramming Proficiency in JavaVersion Control (Git)CI/CDContainers (Docker)KubernetesInfrastructure-as-CodeAI/ML Frameworks

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationCuriosityComfort with AmbiguityEnthusiasm for Learning

Tools & Technologies

AWSGCPAzureDockerKubernetesTerraform

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceRelevant Entry-Level Certifications

Industry Keywords

AI Serving LayersModel Serving InfrastructureAccess ManagementAudit LoggingGovernanceComplianceAI Usage Policies

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonTerraformGo

About the role

Key responsibilities & impact

Contribute to platform components including cloud infrastructure, AI serving layers, and developer tooling under senior engineer guidance
Support design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns
Write code, tests, and documentation with regular team feedback
Participate in design reviews and code reviews
Pair with experienced engineers on real problems
Take ownership of well-scoped tasks within larger initiatives and deliver them to production
Learn and support reliability practices including monitoring, alerting, SLOs, and incident reviews
Build familiarity with access management, audit logging, governance, compliance, and AI usage policies
Communicate learnings, flag blockers, and collaborate with teammates and partner teams
Develop technical independence through mentorship, pairing, and continuous learning

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
Foundational understanding of cloud computing
Exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects, as shown by coursework or certification
2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language; coursework, internship experience, or bootcamp may count
Basic familiarity with version control (Git)
Willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code
Curiosity about AI/ML systems and interest in how models are deployed and served in production
Strong written and verbal communication
Hands-on exposure to Kubernetes, Docker, or Terraform is desirable
Relevant entry-level certifications are a plus but not required
Hands-on experience with AI/ML frameworks or LLM APIs is desirable
Public portfolio or open-source contributions are desirable
Experience collaborating on a team project such as a capstone, hackathon, or group assignment
Comfort with ambiguity and enthusiasm for learning quickly

Benefits

Comp & perks

Structured onboarding and a dedicated mentor
Regular meetings with the AI Platform Engineering team
Focused one-on-one meetings with the manager
Networking opportunities and access to Business Resource Groups
Access to learning content on Degreed and other informational platforms
Industry-leading pay and benefits
Incentive and bonus opportunities
Inclusive, vibrant, and diverse culture
Accommodation support during the application process