AI Platform Engineer

MassMutual

AI Platform Engineer role for recent graduates in AI Platform Engineering team. Collaborating on cloud infrastructure, AI/ML systems, and developer experience with mentorship.

Posted 7/29/2026full-timeBoston • Massachusetts, New York • 🇺🇸 United StatesJuniorMid-Level💰 $104,900 - $137,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates foundational understanding of cloud computing and programming proficiency in languages such as Python, Go, or Java, while actively engaging in platform development and operational practices. Emphasizes collaboration, continuous learning, and adherence to engineering standards in a team-oriented environment.

Highest-signal resume keywords

Cloud ComputingProgramming ProficiencyPythonGoJava

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Cloud InfrastructureAI Serving LayersDeveloper ToolingCode WritingTestingDocumentationReliability PracticesMonitoringAlertingIncident Reviews

Soft Skills

Clear CommunicationCollaborationMentorshipContinuous LearningProblem-Solving

Tools & Technologies

AWSGCPAzure

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceSoftware Engineering

Industry Keywords

GovernanceComplianceAccess ManagementAudit LoggingAI Usage Policies

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJavaPython

About the role

Key responsibilities & impact

Contribute to platform components—cloud infrastructure, AI serving layers, and developer tooling—under the guidance of senior engineers, growing your understanding of how the pieces fit together.
Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns—writing code, tests, and documentation with regular feedback from your team.
Learn the team’s engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems.
Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time.
Help keep the platform healthy by learning reliability practices—monitoring, alerting, SLOs, and incident reviews—and pitching in on operational work.
Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers.
Communicate clearly and ask good questions—sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams.
Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
Foundational understanding of cloud computing and 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 (this could include coursework, internship experience, bootcamp, etc).

Benefits

Comp & perks

Structured onboarding and a dedicated mentor to support your ramp-up and early growth
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