> Markdown version of [/jobs/ext/549380-gen-ai-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/549380-gen-ai-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI Infrastructure Engineer - **Company:** The Bessemer Group Inc - **Location:** Woodbridge Township, NJ, United States - **Experience:** Expert - **Salary:** $160,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Backup Devices, BASIC (Programming Language), Cloud Computing, Cloud Database, Cyber Security, Databases, Continuous Integration, Data Stores, DevOps, Github, Graph Database, Identity and Access Management, Neo4j, OpenID, Redis, AI Infrastructure, AWS Cdk, Data Logging, Large Language Models, Amazon Virtual Private Cloud (VPC), Cloudformation, Build Management, Containerization, Bitbucket, Functional Programming, Cloudwatch, Api Gateway, Terraform - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b75c4941fee49271 ## About the Role Do you have experience in Managing cloud database deployments?, * 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. Preferred Qualifications: * 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. ## Description 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., * 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. ## Related Videos - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Delegating the chores of authenticating users to Keycloak](https://www.wearedevelopers.com/videos/1558-delegating-the-chores-of-authenticating-users-to-keycloak) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)