Senior AI Platform Engineer

Glint Tech Solutions LLCNew York, NY
Hybrid

About The Position

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.

Requirements

  • 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 Haves

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

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
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