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Chief GenAI Engineer

Remote in Mexico, Dominican Republic
Machine Learning Engineering
& 20 others
Mexico

We are seeking a skilled Chief GenAI Engineer to lead the design and implementation of advanced AI-powered workflows for automating mortgage document review, data extraction, and due diligence on a large scale.

This role offers the chance to work with innovative technologies like AWS Bedrock, LLMs, RAG, and serverless architectures, while collaborating with a multidisciplinary team to create impactful enterprise solutions.

Responsibilities
  • Deliver solutions for automating mortgage document OCR, data extraction, and due diligence using AWS Bedrock and supporting cloud services
  • Integrate and optimize GenAI/RAG systems with Bedrock Prompt Engineering, Blueprints, Knowledge Base, chunking strategies, and LLM customization
  • Create scalable and reliable cloud pipelines using Python or Node.js, as well as tools like Lambda functions, Aurora RDS, Step Functions, EventBridge, and SQS
  • Design systems to handle up to 2 million documents per hour with high reliability, robustness, and low latency
  • Ensure efficient workflows and system health by implementing monitoring, error tracking, and metrics
  • Partner with AI PODs, product owners, and technical leads to accelerate workflow onboarding and improve delivery speed without sacrificing quality
  • Apply industry standards in code quality, infrastructure security, compliance, and data privacy for enterprise-ready solutions
  • Incorporate approved AI tools, including GitHub Copilot and ChatGPT Sandbox, to enhance productivity and ensure secure code development
Requirements
  • 7+ years of experience in Machine Learning Engineering
  • Knowledge of AWS Bedrock components such as BDA, Blueprints, Knowledge Base, and Agents, including Prompt Engineering and Management
  • Background with LLM architectures, RAG frameworks, and document chunking techniques for retrieval and extraction
  • Proficiency in Python or Node.js for creating serverless pipelines
  • Demonstrated experience delivering and maintaining high-throughput workflow solutions using Lambda Functions, Lambda Layers, Step Functions, SQS, EventBridge, Aurora RDS Serverless, and Amazon Textract
  • Competency in deploying high-volume, high-velocity workflows in enterprise environments
  • Understanding of cloud architecture patterns, security, performance optimization, and cost-efficient designs for serverless and distributed systems
  • Strong ability to resolve issues during debugging and effectively manage production incidents
  • Effective communication skills with the ability to collaborate in dynamic, remote, cross-functional teams
  • Flexibility to manage tight deadlines and changing priorities while maintaining high-quality delivery
Nice to have
  • Familiarity with mortgage and real estate document workflows, compliance standards, and data models
  • Expertise in enhancing large-scale document processing workflows for higher throughput
  • Background in AI/ML Ops, monitoring tools, governance frameworks, and compliance best practices in enterprise cloud environments
  • Advanced understanding of prompt engineering methods for improving GenAI/LLM performance in document automation use cases
  • Capability to use GitHub Copilot to improve developer productivity and code quality
Benefits
  • 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