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Goldenpick Technologies

6 Goldenpick Technologies Jobs Hiring Near You

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Stay up to date with emerging AI technologies and frameworks * Evaluate and implement GenAI, LLMs, and prompt engineering techniques * Prototype and experiment with new AI-driven solutions Skills ...

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Infographic showing various job openings at Goldenpick Technologies in the United States as of July 2026, with employment types broken down into 14% Full Time, and 86% Contract. Highlights an 86% Physical, and 14% Remote job distribution.

Senior AI Platform Engineer

Goldenpick Technologies LLC

Manhattan, NY • On-site

$126K - $173K/yr

Other

Posted 12 days ago

Job description

Responsibilities
  • Lead AI platform enablement workstreams, enable upcoming AI features and products for the organization, onboarding users/teams and use cases onto enterprise AI platforms (e.g. OpenAI, Gemini Anthropic, Amazon Bedrock, LLM gateways, and agentic frameworks).
  • Coordinate with cross-functional stakeholders — Information Security, Risk, Compliance, Legal, and business teams — to review, negotiate, and agree on platform controls and guardrails.
  • Translate agreed security, risk, and compliance requirements into technical controls, implemented via platform configuration changes or custom code (e.g., IAM policies, guardrails, content filters, logging/monitoring, rate limits, data-access controls). Work with cross engineering teams to enable these controls.
  • Review and document controls, obtain signoffs, and maintain evidence for audit and compliance reviews.
  • Ensure adherence to enterprise governance, DevSecOps protocols, and responsible AI standards across the platform.
  • Manage token budgets, usage/credit limits, quotas, and rate limits across providers and teams; define allocation models that balance user productivity with cost discipline.
  • Proactively monitor AI platform costs and usage; build dashboards, anomaly detection, and automated alerting to notify users and teams of unusual spend, usage spikes, or quota breaches before they become budget issues.
  • User Support & Enablement
  • Provide day-to-day user support on credit/usage limits, quota management, and cost allocation for AI platform consumption.
  • Advise users on AI usage guidance, approved patterns, and platform best practices.
  • Support and troubleshoot technical questions related to skills, agents, MCP (Model Context Protocol) servers/integrations, prompt-based applications, and API usage.
  • Create and maintain runbooks, FAQs, onboarding guides, and self-service documentation to scale support.
  • Monitor operational metrics, usage, and incident data to drive continuous improvement, reliability, and platform adoption.
  • Engineering & Delivery
  • Design, build, and maintain scalable Gen AI platform capabilities, including LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures, using clean, maintainable Python and AWS-native tooling.
  • Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
  • Automate platform provisioning, control enforcement, policy checks, and cost guardrails (budgets, alerts, quota enforcement) using Infrastructure as Code.
  • Act as a subject matter expert (SME) on Gen AI platform technologies and help shape the organization's AI platform roadmap.
  • Own end-to-end delivery of platform enablement initiatives; manage timelines, deliverables, and milestones using Agile practices (Scrum/Kanban).
Skills 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.

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