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EPAM Systems

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Senior AI Solution Engineer

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We are seeking a driven and highly skilled Senior AI Solution Engineer for a leading oil and gas company.

As an AI Solution Engineer, you will work alongside Software Engineers, Machine Learning Engineers, Data Engineers and business stakeholders to understand their needs and translate them into reliable, scalable AI-powered solutions. You will contribute to developing AI Agents, end-to-end data applications and the internal platform that hosts them, along with the data pipelines, cloud infrastructure and automation that support them.

Responsibilities

  • Develop AI Agents on modern LLM frameworks for analytics assistants, automation and decision support, including engineering prompts, tools, memory and orchestration logic for reliable agent behavior
  • Integrate AI Agents with internal data sources, APIs and enterprise applications
  • Contribute to the internal platform that hosts, deploys and monitors AI Agents, and build reusable components for orchestration, evaluation, observability and governance
  • Design and develop end-to-end data applications, tools and interfaces in Python and React / JavaScript, including APIs, dashboards and interactive interfaces that bring advanced analytics to business users
  • Build advanced analytical models and Power BI deliverables, and define standards and templates that improve consistency and reuse
  • Create and maintain ETL/ELT pipelines that prepare, transform and deliver high-quality data for AI and analytics workloads
  • Deploy and operate AI solutions on cloud and hybrid infrastructure, making effective use of managed AI, compute and storage services
  • Support CI/CD pipelines for AI agents and data applications
  • Communicate with internal customers and business teams to gather requirements and feedback, and support adoption of AI solutions

Requirements

  • 3+ years of experience in similar roles (AI Engineer, ML Engineer, Data Engineer), including hands-on experience delivering AI or data solutions to production
  • Proficiency in Python
  • Background in frontend development with React and JavaScript / TypeScript
  • Capability to write performant SQL on relational and analytical databases
  • Expertise in building and consuming REST APIs, working with Git and following modern software engineering practices
  • Understanding of data architecture concepts, including data warehousing, data lakes and ETL/ELT
  • Familiarity with Power BI, including data modeling and report development
  • Excellent command of written and spoken English (B2+ level)

Nice to have

  • Skills in LLM and agent frameworks such as LangChain, LangGraph and LlamaIndex
  • Knowledge of additional agent frameworks such as Semantic Kernel or AutoGen
  • Experience with vector databases

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers

CORPORATE BENEFITS

  • Extra leave days
  • Referral bonuses

COMPENSATION PACKAGE

  • Competitive compensation paid in USD
  • Regular salary and performance reviews

MEDICAL & HEALTHCARE

  • Private health insurance
  • Well-being events

WORKING ENVIRONMENT

  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Skills

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See also

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