AI Solutions Consultant

We are looking for an AI Solutions Consultant to drive discovery, envisioning and delivery of AI, Data Science, Machine Learning, Agentic AI and Semantic Layer opportunities together with EPAM teams and clients. The role combines strategic consulting with hands-on engineering expertise to translate business challenges into scalable, production-ready AI solutions that deliver measurable value.

Responsibilities

• Drive discovery, envisioning and delivery of AI, Data Science, Machine Learning, Agentic AI and Semantic Layer opportunities together with EPAM teams and clients
• Lead client-facing consulting engagements to understand business challenges, identify high-value AI use cases and translate them into practical technical solutions
• Design and shape AI products that combine Data Science, ML, Generative AI, Semantic Layer, RAG, agents, analytics and MLOps to deliver measurable business value
• Act as a bridge between business stakeholders, data scientists, ML engineers, data engineers, architects, DevOps and product teams
• Define solution concepts, target architectures, delivery roadmaps, MVP scopes and productionization approaches for AI-enabled products
• Support pre-sales, discovery, workshops, solution definition, estimation and proposal development for AI, ML and Data Science opportunities
• Contribute to EPAM offerings in AI, Data Science, ML Engineering, MLOps, Agentic AI, Semantic Layer, RAG and AI governance
• Bring a strong engineering mindset to convert AI ideas into reliable, scalable, secure and production-ready solutions
• Collaborate closely with DevOps, Cloud, Data Engineering and Architecture practices on infrastructure, deployment, observability, release planning and operational readiness
• Mentor and guide cross-functional teams, supporting capability growth in AI, Data Science, ML Engineering and applied GenAI

Requirements

• 3+ years of hands-on experience in Data Science, Machine Learning or Applied AI
• Background in exploring business problems, identifying AI opportunities and converting them into applied AI, Data Science, ML or GenAI solutions
• Expertise in pre-sales, solution shaping and discovery workshops, including stakeholder interviews, roadmap definition and proposal preparation
• Capability to explain complex AI concepts to business and technical audiences, including C-level stakeholders
• Understanding of supervised and unsupervised learning, model evaluation, feature engineering, experimentation and production model lifecycle
• Proficiency in at least one advanced AI domain: NLP, Computer Vision, Forecasting, Optimization, Advanced Analytics, Recommendation Systems or Predictive Modeling
• Knowledge of RAG, LLM applications, prompt engineering, evaluation, hallucination reduction and grounding techniques
• Competency in agentic architectures, multi-agent workflows, tool use, orchestration, memory and control-plane concepts
• Skills in Semantic Layer concepts, business metrics modeling, metadata, knowledge graphs, ontology/taxonomy design and enterprise context management
• Familiarity with LangChain, LangGraph and LlamaIndex; CrewAI, DSPy and Semantic Kernel; Vector DBs, MLflow, Kubeflow, Databricks or Snowflake
• Background in delivering AI/ML solutions from concept to production, with familiarity in MLOps, LLMOps and CI/CD for ML, plus model monitoring, observability and data pipelines
• Understanding of data platforms, data engineering, data quality, governance and scalable analytics architectures, including APIs, cloud platforms and containerized deployment
• Track record of leading complex AI, ML or data-driven programs in a consulting or client-facing role
• Excellent communication, active listening, writing, storytelling and presentation skills, combined with problem-solving mindset, creativity, ownership, high EQ and ability to operate in ambiguous environments

Nice to have

• Experience managing, mentoring or scaling AI/Data Science teams
• Flexibility to use cloud and DevOps tooling for infrastructure, security, release planning and production readiness
• Showcase of contributions to AI governance practices and enterprise-scale GenAI adoption

Benefits

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children