[Hiring] Technical AI Consultant @EPAM Systems

Role Description

We are seeking a Technical AI Consultant who excels at the intersection of hands-on engineering, customer engagement, and rapid AI solution delivery. Join our team to help clients integrate AI into their operations, achieve measurable business outcomes, and shape the future of AI-powered solutions. This role suits those who value diverse daily tasks, real-world impact, insight into customer challenges and product evolution, and the opportunity to influence both individual customer success and the broader future of the AI platform.

Success Criteria

• Clients realize measurable benefits from the AI/Run platform and framework.
• Customers continue using the platform and request further AI integration opportunities.
• Problems are identified and resolved before they affect customer success or platform adoption.
• Objectives for AI-enabled SDLC integration and business operations are met or surpassed.
• Customers consider AI/Run essential to their operations and seek to expand usage across their organization.

Responsibilities

• Build AI solutions on the AI/Run CodeMie platform using Python, React, Langchain, Langgraph, and MCP.
• Deliver measurable business outcomes and customer success goals, not just outputs; identify and resolve issues early to ensure clients gain value from the AI/Run platform and expand AI adoption in SDLC and operations.
• Integrate with customer teams onsite or remotely, understand their domain processes, and iterate on solutions that provide business value.
• Address platform issues for clients by solving problems and shipping necessary functionality through personal effort or collaboration with the platform core team; take ownership and deliver results.
• Contribute code and feedback to core product teams; identify gaps, propose features, and implement improvements across the platform.
• Manage end-to-end technical projects from discovery and prototyping to validation, deployment, and ongoing support.
• Ensure engagement and opportunity success by addressing issues from teams or clients, focusing on defined goals in AI-enabled SDLC; measure success by goal achievement, client value realization, continued adoption, and requests for further AI integration.
• Serve as technical advisors for customers, remove blockers, and guide best practices for integration and AI adoption.
• Support sales and go-to-market teams to scope, close, and ramp new customer deals by applying technical expertise and driving results.

Qualifications

• Knowledge of Python and modern React with the ability to resolve platform issues independently.
• AI-first engineering mindset with a focus on problem-solving and solution design.
• Familiarity with LLM-based solutions, prompt engineering, and frameworks such as Langchain and Langgraph.
• Capability to map customer needs, define and validate solutions with user feedback, and iterate quickly in ambiguous environments.
• Outcomes-focused mindset with a record of measuring success by customer value delivered and platform adoption growth.
• Proactive approach to problem-solving, identifying and resolving issues before escalation, and seeking opportunities to improve customer experience and platform value.
• Excellent communication skills for distilling technical solutions to diverse audiences and facilitating workshops and demos remotely and in-person.
• Ownership of delivery cycles, prioritizing high-impact work, and driving value to completion.
• Team collaboration skills for working with customer and internal product teams, contributing code, product ideas, and field insights.
• Experience with MCP development, integration, and security best practices.