Design, develop, deploy, and/or manage (portions of) the AI and LLM system, or solutions based on them
Recommend, evaluate, adopt, integrate, and/or build on new AI and LLM technologies and frameworks
Engage end-users, data analysts, data scientists, data engineers, and project managers in the planning, development, and delivery of AI and LLM solutions
...
Design tailored evaluation strategies (TEVV) for complex models, addressing specific risks such as hallucinations, performance drift, and edge-case handling
Min 5 years in Solution Architecture
Strong ability to read and validate code, understand API structures, and model complex business ontologies
...
We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.
Lead the discovery and shaping of AI engagements by mapping business problems and proposing deliverable architectures
...
Model Optimization: Evaluate and implement fine-tuning strategies for open-source models (e.g., Llama 3, DeepSeek) when off-the-shelf APIs do not meet specific accuracy or privacy requirements.
Strategic Roadmap: Develop a technical AI roadmap that identifies high-ROI opportunities within the department and outlines the transition from pilot projects to scalable production systems.
Core AI Engineering: 3+ years of experience in AI application development with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP).
...
Enable and support AI/ML workloads, including ML pipelines and model lifecycle integration within the Databricks ecosystem.
Optimize platform performance, scalability, and cost efficiency with a FinOps‑oriented mindset.
Collaborate closely with business leaders, architects, and engineering teams to align platform capabilities with enterprise data and analytics needs.
...
Model Optimization: Evaluate and implement fine-tuning strategies for open-source models (e.g., Llama 3, DeepSeek) when off-the-shelf APIs do not meet specific accuracy or privacy requirements.
Strategic Roadmap: Develop a technical AI roadmap that identifies high-ROI opportunities within the department and outlines the transition from pilot projects to scalable production systems.
Core AI Engineering: 3+ years of experience in AI application development with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP).
...