We are looking for a Lead AI/ML Consultant (Agentic AI Engineer) for the ADP account engagement. This is a pivotal technical position centered on architecting and building agentic AI solutions powered by AWS services. The resource will head up the AI/ML workstream, partnering with Technical Business Analysts to bring GenAI capabilities to life for the client.

Responsibilities

- Architect and build multi-agent AI systems, encompassing orchestration patterns, agent-to-agent delegation, tool/function calling, and memory management

- Develop agentic AI solutions leveraging Amazon Bedrock Agents, Knowledge Bases, Guardrails, and Flows

- Deploy solutions using agentic frameworks including LangGraph, LangChain, CrewAI, AutoGen, or comparable tools

- Architect and build Retrieval-Augmented Generation (RAG) systems utilizing vector stores such as OpenSearch, Kendra, and Pinecone

- Create and refine prompts for diverse LLM use cases, including evaluation workflows and hallucination reduction techniques

- Integrate with various LLM providers, such as Claude, Amazon Nova, and Llama, through the Amazon Bedrock platform

- Connect AI solutions with serverless components such as Lambda, Step Functions, API Gateway, S3, and DynamoDB

- Establish guardrails, PII handling protocols, and enterprise compliance measures to ensure secure and responsible AI operations

- Architect token-efficient designs and apply cost governance strategies to manage and optimize AI solution spending

Requirements

- A minimum of 5 years of relevant experience

- At least one year of experience leading and managing teams

- Background in building agentic and multi-agent workflows that support orchestration, delegation, and autonomous task execution among AI agents

- Direct experience with Amazon Bedrock for developing and deploying generative AI solutions,



including agents, knowledge bases, and guardrails

- Applied experience with LangChain/LangGraph for constructing and coordinating LLM-powered applications and agentic workflows

- Experience architecting RAG (Retrieval-Augmented Generation) systems to anchor LLM outputs in accurate, relevant data

- Advanced Python skills for building AI/ML applications, integrating models, and developing automation scripts

- Experience in prompt engineering, covering the design, testing, and refinement of prompts to enhance LLM performance and reliability

- Excellent English communication skills (B2 level or higher)

Nice to have

- Experience with Amazon SageMaker for developing, training, and deploying machine learning models

- Exposure to LLMOps practices for overseeing the full lifecycle of LLM-based applications, from deployment through monitoring and ongoing improvement

- Understanding of vector databases for storing and retrieving embeddings to enable RAG and semantic search functionality

We offer

- International projects with top brands

- Work with integral 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.

📌 Lead AI/ML Consultant (Chile)
🏢 EPAM Systems
📍 Chile