Senior AI Platform Engineer

Glint Tech Solutions LLC; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Glint Tech Solutions in New York is seeking a Senior AI Platform Engineer to drive enterprise AI platform enablement, working at the intersection of engineering, governance, and user enablement.

You will partner with InfoSec, Risk, Legal, and Compliance to implement platform controls while managing costs, pipelines, and agentic frameworks across OpenAI, Gemini, Anthropic, and Bedrock.

Qualifications

• 6+ years engineering experience, incl. 1-2+ years in AI/cloud platform enablement.
• Experience implementing IAM, guardrails, logging, and quota/rate-limiting controls.
• Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering.
• Agentic AI, MCP, and Graph/RAG architectures.
• AWS Bedrock, EKS, Lambda, Fargate, Glue, Athena.
• Python (NumPy, Pandas, Boto3), Terraform/IaC, containerized deployments.
• Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune).

Responsibilities

• Lead AI platform enablement across OpenAI, Gemini, Anthropic, Bedrock, and agentic frameworks
• Partner with InfoSec, Risk, Compliance, and Legal on platform controls and guardrails
• Manage token budgets, usage/credit limits, and cost monitoring
• Build LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures
• Support users on AI usage, quotas, skills, agents, and MCP integrations
• Own delivery of platform initiatives using Agile practices

Skills

Engineering experience

AI platform enablement

IAM & guardrails

Gen AI models

Agentic AI

AWS Bedrock

Python & IaC

Vector/Graph DBs

Tools

Terraform

Boto3

Weaviate

Milvus

Neo4j

Neptune

AWS Bedrock

Job description

Job Title

Senior AI Platform Engineer

Location

New York (Hybrid - 3 days onsite)

Company Overview

Glint Tech Solutions is a women-owned global IT staffing and recruiting firm partnering with a leading enterprise client.

Project Description

This role drives AI platform enablement across the enterprise, sitting at the intersection of engineering, governance, and user enablement - partnering with InfoSec, Risk, Legal, and Compliance to implement platform controls while managing enterprise AI cost and usage.

Key Responsibilities

• Lead AI platform enablement across OpenAI, Gemini, Anthropic, Bedrock, and agentic frameworks
• Partner with InfoSec, Risk, Compliance, and Legal on platform controls and guardrails
• Manage token budgets, usage/credit limits, and cost monitoring
• Build LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures
• Support users on AI usage, quotas, skills, agents, and MCP integrations
• Own delivery of platform initiatives using Agile practices

Mandatory Skills

• 6+ years engineering experience, incl. 1-2+ years in AI/cloud platform enablement
• Experience implementing IAM, guardrails, logging, and quota/rate-limiting controls
• Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering
• Agentic AI, MCP, and Graph/RAG architectures
• AWS (Bedrock, EKS, Lambda, Fargate, Glue, Athena)
• Python (NumPy, Pandas, Boto3), Terraform/IaC, containerized deployments
• Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune)

Nice-to-Have Skills

• BI tools (QuickSight, Tableau)
• Knowledge of financial markets/enterprise data systems