via Manatal
$85K - 130K a year
Lead AI platform enablement, manage controls with InfoSec and Legal, build LLM pipelines, and support agentic workflows.
6+ years engineering experience with 1-2 years in AI or cloud platform enablement, proficiency in Gen AI, Python, AWS, and Terraform.
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 To Apply Send resumes to sagar@glinttechsolutions.com
This job posting was last updated on 9/10/2026