Senior AI Platform Engineer

Glint Tech Solutions

HybridPosted July 26, 2026

About the role

Senior AI Platform Engineer

Glint Tech Solutions

HybridPosted July 26, 2026

About the role

Senior AI Platform Engineer role based in New York, United States. This is a hybrid position with on-site presence required for in-person collaboration. You will drive AI platform enablement across enterprise AI tools (OpenAI, Gemini, Anthropic, Amazon Bedrock, LLM gateways, agentic frameworks) and work with Information Security, Risk, and Legal to define platform controls and guardrails.

Responsibilities

Required skills:

Lead AI platform enablement across tools and coordinate with Security, Risk, Compliance, and Legal to implement controls and guardrails.
Translate compliance and security requirements into technical controls (IAM policies, guardrails, content filters, logging, rate limits, data-access controls); document controls and maintain audit evidence.
Manage token budgets, usage quotas, and rate limits; build cost dashboards and anomaly alerts; provide user support on quotas and usage.
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 via Infrastructure as Code.
Own end-to-end delivery of platform initiatives using Agile (Scrum/Kanban).
6+ years of progressive engineering experience, including 1-2+ years in AI/cloud platform enablement.
Experience partnering with InfoSec, Risk, and Compliance to implement controls in regulated environments.
Hands-on IAM, guardrails, audit logging, and q

Senior AI Platform Engineer role based in New York, United States. This is a hybrid position with on-site presence required for in-person collaboration. You will drive AI platform enablement across enterprise AI tools (OpenAI, Gemini, Anthropic, Amazon Bedrock, LLM gateways, agentic frameworks) and work with Information Security, Risk, and Legal to define platform controls and guardrails.

Responsibilities

Required skills:

Lead AI platform enablement across tools and coordinate with Security, Risk, Compliance, and Legal to implement controls and guardrails.
Translate compliance and security requirements into technical controls (IAM policies, guardrails, content filters, logging, rate limits, data-access controls); document controls and maintain audit evidence.
Manage token budgets, usage quotas, and rate limits; build cost dashboards and anomaly alerts; provide user support on quotas and usage.
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 via Infrastructure as Code.
Own end-to-end delivery of platform initiatives using Agile (Scrum/Kanban).
6+ years of progressive engineering experience, including 1-2+ years in AI/cloud platform enablement.
Experience partnering with InfoSec, Risk, and Compliance to implement controls in regulated environments.
Hands-on IAM, guardrails, audit logging, and q

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