Lead GenAI Engineer

EPAM Systems; Argentina; On-site; ARS 3,000,000 - 5,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems is seeking a Lead GenAI Engineer to architect and manage agentic AI solutions. You will drive multi-agent workflows on Bedrock AgentCore, craft LLM-driven experiences, and integrate with Amazon Connect for contact center automation.

The role requires at least 5 years in AI/ML, leadership experience, and strong Python with AWS serverless know-how. This is a high-impact, globally-facing project with ongoing optimization.

Qualifications

• 5+ years in AI/ML engineering roles.
• At least 1 year of team leadership.
• Hands-on with Amazon Bedrock for generative AI apps.
• Experience in prompt design and foundation model integration.
• Proven track record building multi-agent workflows.

Responsibilities

• Architect multi-agent workflows on Bedrock AgentCore.
• Develop agentic AI systems with tool use and memory handling.
• Design prompts and context assembly for production.
• Connect AI capabilities with Amazon Connect workflows.
• Build scalable LLM-driven applications on AWS.
• Establish guardrails, safety, and compliance mechanisms.

Skills

GenAI/ML engineering

Leadership

Amazon Bedrock

Python

AWS serverless

Tools

AWS Lambda

AWS Step Functions

API Gateway

Bedrock AgentCore

Job description

We are seeking a Lead GenAI Engineer to architect, develop, and manage agentic AI solutions on Amazon Bedrock AgentCore as part of a contact centre transformation initiative. The consultant will lead the implementation of multi-agent workflows, craft LLM-driven conversational experiences, and connect these solutions with Amazon Connect.

Responsibilities

• Architect and build multi-agent workflows on Amazon Bedrock AgentCore to coordinate complex, automated business operations
• Develop agentic AI systems that leverage tool use, memory handling, and orchestration techniques to support autonomous, context-driven agent actions
• Craft prompt engineering approaches and context assembly methods tailored for large-scale production environments
• Connect agentic AI functionality with Amazon Connect contact center workflows to strengthen customer interaction automation
• Build LLM-driven applications powered by Amazon Bedrock foundation models to deliver robust, scalable generative AI features
• Construct RAG (Retrieval-Augmented Generation) pipelines and knowledge base connections to keep model outputs accurate and current
• Create and launch conversational AI experiences for customer-facing platforms, ensuring smooth and intuitive interactions
• Establish guardrails, safety mechanisms, and compliance protocols to support responsible and secure AI usage
• Roll out solutions through AWS serverless offerings, such as Lambda, Step Functions, and API Gateway, to construct efficient and scalable architectures
• Develop evaluation frameworks to consistently monitor model and prompt performance and confirm readiness for deployment
• Set up observability tools and fine-tune solutions for optimal cost and latency in live environments
• Partner with customer stakeholders to collect requirements, incorporate feedback, and refine solutions across the project timeline

Requirements

• At least 5 years of relevant experience in AI/ML engineering positions
• A minimum of one year of experience leading and overseeing teams
• Practical experience with Amazon Bedrock for creating and launching generative AI applications
• Demonstrated background in generative AI/LLM application development, covering prompt design, foundation model integration, and building production-ready AI features
• Track record of constructing agentic and multi-agent workflows that support autonomous task completion, tool integration, and coordination across multiple AI agents
• Advanced Python skills for building ML/AI applications, encompassing data handling, model integration, and API creation
• Strong grasp of AWS serverless architecture, including tools like Lambda, Step Functions, and API Gateway, for developing scalable and dependable cloud-based solutions
• Strong English communication abilities (B2 level or above)

Nice to have

• Background in Amazon Connect integration for developing and improving contact center automation and customer service processes
• Exposure to Bedrock AgentCore for building and overseeing sophisticated multi-agent orchestration and agentic AI systems
• Understanding of MLOps/LLMOps methodologies for handling the complete ML/AI model lifecycle, from deployment and monitoring to versioning and ongoing enhancement in live settings

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