Senior AI Platform Engineer

Goldenpick Technologies; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Goldenpick Technologies seeks a senior AI/platform engineer in New York to lead AI enablement efforts while aligning security, risk, and compliance with engineering goals. This role requires hands-on work with IAM, guardrails, logging, and data protection, plus building agentic AI solutions and scalable cloud infra.

You will collaborate across security, risk, and engineering teams, drive automation, and mentor others in Gen AI frameworks and DevSecOps.

Qualifications

• 6+ years of progressive engineering experience with 1–2+ years in AI/platform enablement roles.
• Experience coordinating with InfoSec, Risk, and Compliance on technical controls.
• Hands-on with IAM, guardrails, logging, quotas, and network/data protection.
• Hands-on with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompts.
• Experience with agentic AI, MCP, Graph/RAG architectures, and MCP servers.
• Knowledge of Gen AI frameworks and LLM gateway patterns.
• Proficiency in AWS services and cost/usage monitoring.
• IaC (Terraform, Puppet) and container deployments (Docker).
• Python automation (NumPy, Pandas, Boto3) for tooling.
• Experience with vector/graph databases and query optimization.
• Solid automated testing frameworks (Playwright, Selenium).
• Strong SDLC, DevSecOps, Agile/Scrum, and JIRA tooling proficiency.
• Excellent stakeholder management and cross-team communication.
• Customer-service mindset for triage and issue resolution.

Skills

Engineering leadership

AI platform development

Cloud platform experience

InfoSec, Risk & Compliance

IAM/access policies

Gen AI models & prompt engineering

Agentic AI & MCP architectures

Gen AI frameworks & LLM gateways

AWS services (AgentCore, Bedrock, EC2,

Infrastructure as Code (Terraform, DjP

Docker & container deployments

Python (NumPy, Pandas, Boto3)

Vector/Graph DBs (Weaviate, Milvus, PG

Automated testing (Playwright, Cypress

DevSecOps & SDLC best practices

JIRA/Confluence/JIRA Align

Stakeholder management

Technical communication

Customer support mindset

Tools

Terraform

Puppet

Docker

JIRA

Confluence

JIRA Align

AWS (AgentCore, Bedrock, EC2)

Weaviate/Milvus/PGVector/Neo4j/Neptune

Playwright/Selenium

Job description

Location - New York
(3 days in office)

Must have

• 6+ years of progressive engineering experience, including 1-2+ years in AI platform, cloud platform, or emerging-tech enablement roles.
• Demonstrated experience working with InfoSec, Risk, and Compliance teams to define, review, and implement technical controls in regulated environments.
• Hands-on experience implementing controls through configuration and code: IAM/access policies, guardrails, logging and audit trails, quota/rate limiting, and network/data-protection controls.
• Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques.
• Agentic AI, MCP, and Graph/RAG architectures, including building and supporting agents, skills, and MCP servers.
• Gen AI frameworks and LLM gateway/proxy patterns.
• AWS cloud services (AgentCore, Bedrock, EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation), including cost management and usage/credit monitoring.
• Infrastructure as Code (Terraform, Puppet, Docker) and containerized deployments.
• Python programming (NumPy, Pandas, Boto3) for automation, tooling, and platform services.
• Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune) and query optimization.
• Automated testing and evaluation frameworks (Ragas, Playwright, Selenium, Zephyr).
• Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
• Strong stakeholder management and ability to broker agreements across security, risk, compliance, and engineering teams.
• Clear written and verbal communication, including translating technical controls into business language and vice versa.
• Customer-service mindset for user support, with the ability to triage, prioritize, and resolve technical issues efficiently.