Gen AI Infrastructure Engineer

Bessemer Trust • Woodbridge Township, NJ

2d • $160,000 - $200,000 • Hybrid

About The Position

We're looking for a senior Platform engineer for GenAI Infrastructure to help build and operate the platform behind our agentic systems on AWS. The role covers how we deploy, secure, and run solutions- pipelines, infrastructure-as-code, IAM, networking, and the supporting data stores that our AI agents rely on. This role partners with our existing DevOps team and focuses on GenAI platform. This is a hands-on role on an existing platform. The work involves coming in, understanding what's there, and making it more secure, more reliable, and easier for AI teams to build on.

Requirements

• 7+ years in DevOps, platform, or cloud infrastructure engineering.
• Strong AWS background, including IAM, CloudFormation, Lambda, API Gateway, VPC, CloudWatch, SSM, Secrets Manager, and ECR.
• Hands-on experience with AWS CDK, or strong CloudFormation/Terraform/CDK .
• CI/CD pipeline experience in Bitbucket Pipelines, GitHub Actions, or similar including OIDC-based authentication
• Solid IAM and security fundamentals - least-privilege policies, role assumption, trust policies.
• Experience with containers and ECR for build and deploy workflows.
• Comfort operating at least one database or data store in production - provisioning, backups, access control, basic tuning.

Nice To Haves

• Experience with AWS Bedrock, AgentCore, or any GenAI/LLM platform work.
• Experience operating Neo4j, Neptune, or another graph database.
• Experience operating VectorDB (Redis, Milvus or self-managed).
• Experience with private networking patterns (VPC endpoints, private subnets) for Lambda or containerized workloads.
• Experience supporting regulated or security-sensitive environments.

Responsibilities

• Work with architects and developers to deploy GenAI components (Bedrock, AgentCore, Lambda, APIs) safely and repeatably and able to troubleshoot.
• Build and improve CI/CD pipelines and infrastructure code (AWS CDK, Bitbucket/GitHub pipelines).
• Manage AWS environments end-to-end for GenAI: IAM, networking, deployments, secrets, logging, and monitoring.
• Evolve secure GenAI deployment architecture where shared infrastructure (Bedrock access, agent runtimes, gateways, graph databases, Redis Database) is provisioned centrally and consumed.
• Support the data stores our agents depend on - primarily a graph database and vector database. Provisioning, securing, backing up, and troubleshooting them in partnership with platform and infrastructure team.
• Partner with the existing DevOps and InfoSec teams to harden deployment flows and document secure GenAI platform standards.
• Ability to quickly assess an existing platform, identify gaps, and ship practical improvements and write clear runbooks and docs so the rest of the team can operate what gets built.

Benefits

• Competitive base salary plus discretionary annual bonus for select positions
• A 401(k) plan with a generous annual profit-sharing contribution
• Personalized development and career opportunities, including tuition reimbursement support
• Comprehensive medical, dental, and vision plans with zero contributions for employee coverage
• Employee assistance (EAP) and wellness programs
• Hybrid work environment: 60% in office, 40% remote for most positions
• Paid time off and paid parental leave
• Employer-paid life insurance and short- and long-term disability coverage
• Legal services and financial wellness plans at no cost to employees

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed