Chief Generative AI Engineer

Description

Summary: Join as a Chief Generative AI Engineer to design, build, and operationalize multi-agent AI contact center solutions on AWS, focusing on LLM orchestration, prompt engineering, and compliance. Highlights: 1. Architect multi-agent workflows on Amazon Bedrock AgentCore. 2. Lead generative AI engineering for customer-facing conversational AI. 3. Build automated test and evaluation pipelines for AI solutions. We are looking for a Chief Generative AI Engineer to join our team. As a Generative AI Engineer you will design, build, and operationalize a multi\-agent AI contact center solution for a customer\-facing conversational AI workstream. Scope covers LLM orchestration across specialized agents, prompt engineering and refinement, guardrail and compliance enforcement, automated evaluation and hallucination\-detection pipelines, CI/CD evaluation gates, and production operations optimization for cost, latency, and containment. Delivery is fully AWS cloud\-native, centered on Amazon Bedrock and Bedrock AgentCore with serverless orchestration (Lambda, Step Functions, EventBridge, DynamoDB, API Gateway) and integration into an Amazon Connect contact center flow. **Responsibilities** * Architect multi\-agent workflows on Amazon Bedrock AgentCore, defining agent roles, tool contracts, memory strategy, and hand\-off patterns across the conversation lifecycle * Design prompt architectures, system instructions, and context\-assembly patterns that hold up under production traffic and adversarial input * Define guardrail and compliance controls, including PII redaction, topic denial, grounding constraints, and safe\-fallback paths, aligned to customer regulatory obligations * Build and iterate agent orchestration logic, tool/function integrations, and retrieval flows using Python on serverless AWS services * Implement structured prompt versioning and experimentation so that changes remain traceable and reversible * Integrate agentic capabilities with contact center telephony and chat channels, including deflection, escalation, and live\-agent hand\-off flows * Build automated test and evaluation pipelines using LLM\-as\-a\-Judge, golden datasets, and rubric\-based scoring for accuracy, tone, grounding, and task completion * Implement hallucination detection and grounding validation with quantified thresholds and regression tracking across model and prompt versions * Wire evaluation gates into CI/CD so that no prompt, model, or agent change ships without passing quality and safety criteria * Instrument observability, including traces, token accounting, latency, containment, and deflection rate, and drive tuning for cost and performance in production * Act as deputy to the Technical Lead, covering technical decision\-making, customer\-facing reviews, and delivery continuity during Lead absence, and mentor engineers on agentic and evaluation practices **Requirements** * A minimum of 7 years of relevant experience * At least 2 years of leadership and team management experience * Experience in generative AI engineering, including LLM application design, prompt engineering, RAG, and model selection/tuning tradeoffs * Experience designing agentic and multi\-agent workflows, including orchestration, tool use, memory, and hand\-off patterns * Experience with LLM\-as\-a\-Judge and automated evaluation, including rubric design, golden datasets, hallucination detection, and regression harnesses * Experience with Amazon Bedrock and Bedrock AgentCore * Strong Python skills for production AI services * Experience with AWS serverless architecture, including Lambda, Step Functions, API Gateway, DynamoDB, EventBridge, and CI/CD automation * Excellent English proficiency (B2 level or higher) **Nice to have** * Experience with Amazon Connect, including contact flows, Lex integration, and Contact Lens * Familiarity with Responsible AI, guardrails, and compliance frameworks for regulated industries * Experience with observability and cost/latency optimization for LLM workloads * Experience with Infrastructure as Code tools such as CDK or Terraform **We offer** * International projects with top brands * Work with global teams of highly skilled, diverse peers * Healthcare benefits * Employee financial programs * Paid time off and sick leave * Upskilling, reskilling and certification courses * Unlimited access to the LinkedIn Learning library and 22,000\+ courses * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn *EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.*