Senior AI Platform Engineer

Glint Tech Solutions; New York (NY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Glint Tech Solutions is seeking a Senior AI Platform Engineer in New York to drive enterprise AI platform enablement. You will work at the intersection of engineering, governance, and user enablement, collaborating with Security, Risk, Legal, and Compliance to define platform controls and manage costs.

The role emphasizes building scalable AI pipelines, IAM policies, and cost dashboards while delivering end-to-end platform initiatives in an Agile environment.

Qualifications

• 6+ years progressive engineering experience with AI/cloud
• Experience partnering with InfoSec, Risk, Compliance to implement controls
• Hands-on IAM/access policies, guardrails, audit logging and quotas
• GenAI models (GPT, Claude, Gemini, LLaMA) and prompt engineering
• Agentic AI, MCP, and Graph/RAG architectures
• Experience with AWS services: Bedrock, EC2, EKS, Fargate, Lambda, Athena, Glue, Lake Formation
• Infrastructure as Code (Terraform, Puppet, Docker) and container deployments
• Python (NumPy, Pandas, Boto3) for automation
• Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune)
• SDLC, DevSecOps, Agile Scrum/Kanban, JIRA/Confluence/JIRA Align
• Strong stakeholder management and cross-team communication

Responsibilities

• Lead AI platform enablement across enterprise AI tools
• Coordinate with Security, Risk, Compliance, and Legal for platform controls
• Translate requirements into technical IAM policies, guardrails, and data-access controls
• Document controls and maintain audit/compliance evidence
• Manage token budgets, usage quotas, and cost dashboards
• Provide user support on credit/usage limits and quota management
• Troubleshoot issues with skills, agents, MCP integrations, and API usage
• Design and maintain LLM pipelines and Graph/RAG architectures
• Implement cloud-native solutions (EKS, Lambda, Fargate, Glue, Athena)
• Automate provisioning and guardrails using Infrastructure as Code
• Own end-to-end delivery of platform initiatives using Agile

Skills

GenAI models & prompt engineering

IAM/access policies & guardrails

Python automation

Cost governance & dashboards

Cloud platform enablement

Stakeholder management

Tools

AWS Bedrock

EC2

EKS

Fargate

Lambda

Athena

Glue

Terraform

Docker

Puppet

Job description

Job Title: Senior AI Platform Engineer
Location: New York (Hybrid – 4 days/week onsite)

Interview Process: Onsite interview required

Company Overview

Glint Tech Solutions is a women-owned global IT staffing and recruiting firm serving clients across the USA and Canada. We connect top-tier technical talent with leading enterprise organizations.

Project Description

Our client, a leading enterprise organization, is seeking a Senior AI Platform Engineer to drive AI platform enablement across the enterprise. This role sits at the intersection of engineering, governance, and user enablement, working closely with Information Security, Risk, Legal, and Compliance teams to define platform controls and implement them through configuration and code. The engineer will also manage enterprise AI cost — ensuring tokens, credits, and platform spend are tracked and optimized.

Key Responsibilities

• Lead AI platform enablement across enterprise AI tools (OpenAI, Gemini, Anthropic, Amazon Bedrock, LLM gateways, agentic frameworks)
• Coordinate with Security, Risk, Compliance, and Legal to review and agree on platform controls and guardrails
• Translate agreed compliance/security requirements into technical controls (IAM policies, guardrails, content filters, logging, rate limits, data-access controls)
• Document controls and maintain audit/compliance evidence
• Manage token budgets, usage quotas, and rate limits across providers; build cost dashboards and anomaly alerting
• Provide user support on credit/usage limits, quota management, and AI usage best practices
• Troubleshoot issues related to skills, agents, MCP integrations, and API usage
• Design and maintain LLM pipelines, agentic workflows, and Graph/RAG architectures using Python and AWS-native tooling
• Implement cloud-native solutions (EKS, Lambda, Fargate, Glue, Athena)
• Automate provisioning and cost guardrails using Infrastructure as Code
• Own end-to-end delivery of platform initiatives using Agile (Scrum/Kanban)

Mandatory Skills

• 6+ years progressive engineering experience, including 1-2+ years in AI/cloud platform or emerging-tech enablement
• Experience partnering with InfoSec, Risk, and Compliance teams to implement technical controls in regulated environments
• Hands-on experience with IAM/access policies, guardrails, audit logging, and quota/rate limiting
• GenAI models (GPT, Claude, Gemini, LLaMA) and prompt engineering
• Agentic AI, MCP, and Graph/RAG architectures
• AWS services: Bedrock, EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation
• Infrastructure as Code (Terraform, Puppet, Docker) and containerized deployments
• Python (NumPy, Pandas, Boto3) for automation and platform tooling
• Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune)
• Automated testing/evaluation frameworks (Ragas, Playwright, Selenium, Zephyr)
• SDLC, DevSecOps, Agile Scrum/Kanban, JIRA/Confluence/JIRA Align
• Strong stakeholder management and communication across technical and business teams

Nice-to-Have Skills

• BI tools (QuickSight, Tableau) for usage/cost reporting
• Knowledge of financial markets and enterprise data systems