Lead GenAI Engineer

EPAM Systems; Colombia; On-site; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

International projects

Global teams

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certificates

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

EPAM Employee Groups

Award-winning culture

Job summary

EPAM Systems is seeking a Lead GenAI Engineer to architect, develop, and manage agentic AI solutions on Amazon Bedrock AgentCore as part of a contact center transformation initiative.

The role focuses on building multi-agent workflows, prompt engineering, and connecting AI features with Amazon Connect, while ensuring guardrails and cost-efficient operation across AWS serverless services.

Qualifications

• 5+ years in AI/ML engineering roles.
• 1+ year leading teams.
• Experience with Amazon Bedrock for generative AI apps.
• Background in generative AI/LLM development.
• Proven multi-agent workflow design, tool integration, and orchestration.
• Advanced Python for ML/AI apps including API creation.
• Strong AWS serverless knowledge (Lambda, Step Functions, API Gateway).
• Strong English communication (B2+).

Responsibilities

• Architect and build multi-agent workflows on Amazon Bedrock AgentCore to coordinate automated operations.
• Develop agentic AI systems with tool use, memory handling, and orchestration.
• Craft prompt engineering and context assembly for production environments.
• Connect agentic AI with Amazon Connect workflows to automate customer interactions.
• Build LLM-driven applications using Bedrock foundation models.
• Construct Retrieval-Augmented Generation (RAG) pipelines and knowledge base connections.
• Create and launch conversational AI experiences for customer platforms.
• Establish guardrails, safety mechanisms, and compliance protocols for responsible AI usage.
• Roll out solutions via AWS serverless services (Lambda, Step Functions, API Gateway).
• Develop evaluation frameworks to monitor model and prompt performance.
• Set up observability and optimize cost and latency in live environments.
• Collaborate with stakeholders to collect requirements and refine solutions over time.

Skills

AI/ML engineering

Python

Leadership

English (B2+)

Generative AI development

Tools

Amazon Bedrock

AWS Lambda

AWS Step Functions

API Gateway

Bedrock AgentCore

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead GenAI Engineer to architect, develop, and manage agentic AI solutions on Amazon Bedrock AgentCore as part of a contact center 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

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.