1 publicación de empleo destacada de service operations en remoto (¡Están contratando!)

Chief Generative AI Engineer
EPAM Systems, Inc. —Desde casa
1d

Check out these similar jobs

Based on your search for service operations jobs.

Chief Generative AI Engineer
EPAM Systems, Inc. —Desde casa
Experience in generative AI engineering, including LLM application design, prompt engineering, RAG, and model selection/tuning tradeoffs.
1d

Quiero recibir la alerta de empleo más reciente para service operations en remoto

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

service operations jobs near remoto

Empleos de Ai Engineer en Desde Casa

Chief Generative AI Engineer

EPAM Systems, Inc. -
Desde casa

Postulate ahora

Detalles del empleo

Hace 1 día

Descripción completa del empleo

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

Postulate ahora

Refiná tu búsqueda

service operations empleos en remoto

Chief Generative AI Engineer

Check out these similar jobs

Quiero recibir la alerta de empleo más reciente para service operations en remoto

Related Searches

Explorar empleos en más ubicaciones

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado