Lead Enterprise AI Platform Engineer

Luxoft; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Luxoft is seeking an AI Platform Engineer for AI & Emerging Tech in New York. You will drive enterprise AI platform enablement, partner with Security, Risk, Legal, and Compliance, and implement controls through configuration and code.

You will manage tokens, credits, and spend, while helping users adopt responsible AI practices. The role blends software engineering with GenAI platform experience, cloud-native delivery, and risk management, requiring collaboration across teams to enable AI

Qualifications

• 6+ years of progressive engineering experience, including 1-2+ years in AI platform, cloud platform, or emerging-tech enablement role
• Experience with InfoSec, Risk, and Compliance to define, review, and implement technical controls in regulated environment
• Hands-on experience implementing controls through configuration and code: IAM/access policies, guardrails, logging and audit trails, quota/rate limiting, and network/data-protection control
• Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering technique
• Agentic AI, MCP, and Graph/RAG architectures, including building and supporting agents, skills, and MCP server
• Gen AI frameworks and LLM gateway/proxy pattern
• 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 deployment
• Python programming (NumPy, Pandas, Boto3) for automation, tooling, and platform service
• 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 team
• Strong 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

Responsibilities

• Lead AI platform enablement workstreams, onboarding users/teams and use cases onto enterprise AI platforms (e.g. OpenAI, Gemini Anthropic, Amazon Bedrock, LLM gateways, and agentic frameworks)
• Coordinate with Information Security, Risk, Compliance, Legal, and business teams to review, negotiate, and agree on platform controls and guardrails
• Translate security, risk, and compliance requirements into technical controls via configuration changes or code (IAM policies, guardrails, content filters, logging/monitoring, rate limits)
• Review and document controls, obtain signoffs, and maintain evidence for audit and compliance review
• Ensure governance, DevSecOps protocols, and responsible AI standards across the platform
• Manage token budgets, usage/credit limits, quotas, and rate limits; define allocation models balancing productivity and cost
• Monitor platform costs and usage; build dashboards, alerting, and anomaly detection for spend issues
• Provide day-to-day user support on credit/usage limits, quota management, and cost allocation
• Advise users on AI usage guidance, approved patterns, and platform best practices
• Support and troubleshoot questions related to skills, agents, MCP servers/integrations, prompts, and API usage
• Create and maintain runbooks, FAQs, onboarding guides, and self-service documentation
• Monitor operational metrics and incidents to drive reliability and platform adoption
• Design, build, and maintain Gen AI platform capabilities including LLM pipelines, agentic workflows, MCP integrations, Graph/RAG using Python and AWS tooling
• Implement cloud-native solutions using AWS services (EKS, Lambda, Fargate, Glue, Athena)
• Automate platform provisioning, control enforcement, policy checks, and cost guardrails via IaC
• Act as SME on Gen AI platform technologies and help shape the organization's AI platform roadmap
• Own end-to-end delivery of platform enablement initiatives using Agile practices (Scrum/Kanban)

Job description

Luxoft is seeking an AI Platform Engineer for AI & Emerging Tech in New York. You will drive enterprise AI platform enablement, partner with Security, Risk, Legal, and Compliance, and implement controls through configuration and code.

You will manage tokens, credits, and spend, while helping users adopt responsible AI practices. The role blends software engineering with GenAI platform experience, cloud-native delivery, and risk management, requiring collaboration across teams to enable AI