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About the Role

Drive AI platform enablement across enterprise AI tools, working closely with Information Security, Risk, Legal, and Compliance teams to define and implement platform controls. Manage enterprise AI cost, tracking and optimizing spend.

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)

Requirements

• 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
• Strong stakeholder management and communication across technical and business teams

Skills

• GenAI models (GPT, Claude, Gemini, LLaMA)
• Prompt engineering
• Agentic AI
• MCP
• Graph/RAG architectures
• AWS services: Bedrock, EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation
• Infrastructure as Code (Terraform, Puppet, Docker)
• Containerized deployments
• Python (NumPy, Pandas, Boto3)
• Automation
• 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
• BI tools (QuickSight, Tableau)
• Financial markets
• Enterprise data systems

Location

• New York

Work Type

• Hybrid
• Onsite

Experience Level

• Senior

About the Company

• 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.