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Senior AI Solution Engineer
Job description
We are seeking a driven and highly skilled Senior AI Solution Engineer for a leading oil and gas company. As a Senior 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 Develop advanced analytical models and Power BI deliverables, and define standards and templates that improve consistency and reuse Design 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 to support adoption of AI solutions Requirements 2-4 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, React and JavaScript / TypeScript Skills in writing performant SQL on relational and analytical databases Experience 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 Experience with Power BI, including data modeling and report development Nice to have Experience with LLM and agent frameworks such as Lang.
Chain, Lang. Graph, Llama. Index, Semantic Kernel or Auto. Gen Experience with vector databases
Description copied from EPAM Systems's careers page. Read the full posting before you apply.
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