Technology Consulting Principle/ Applied AI Consultant at EPAM Systems

Job description

EPAM is looking for a Technology Consulting Principle/ Applied AI Consultant to join our team and help clients turn AI ambition into real, adopted change. In this client-facing role, you'll partner directly with customer organizations to understand how they work today, uncover where agentic AI can create meaningful value, and lead the people-side work required to make that value stick. This is a great opportunity for a consultant who enjoys being on the ground with clients — leading relationships, mapping processes, and coaching teams through change — rather than working on AI strategy from behind a desk. Req# 1102965027 Responsibilities: • Lead client engagements and stakeholder alignment: Serve as the primary business point of contact and trusted advisor, aligning stakeholders on transformation goals, priorities, scope, and expected outcomes • Assess current processes and AI readiness: Map business workflows, decision points, roles, systems, and data dependencies to establish a shared understanding of current operations and existing automation and AI capabilities • Identify and prioritize improvement opportunities: Surface inefficiencies, bottlenecks, risks, and unmet needs; prioritize opportunities based on business value, feasibility, and organizational readiness • Translate business needs into AI use cases: Define actionable AI and agentic solution opportunities, including requirements, success criteria, human oversight, and implications for how work gets done • Design future ways of working: Partner with architects, engineers, and delivery teams to redesign workflows, clarify human and agent responsibilities, and validate solutions through focused pilots • Drive education, adoption, and behavior change: Lead stakeholder engagement, role-based education, coaching, and change initiatives that embed AI into everyday work and build sustained usage • Measure adoption and business impact: Establish baselines and track individual, team, and process-level outcomes—including productivity, quality, cycle time, and adoption—to demonstrate value and guide improvements • Strengthen delivery and continuous improvement: Improve Agile practices across client and internal teams, using feedback and performance data to refine solutions and scale proven approaches • Build and validate AI workflow prototypes: Use AI assistants, prompt design, and low-code agent tools to create working prototypes grounded in client processes and representative data. Test feasibility, demonstrate potential value, and translate findings into requirements for FDEs and AI engineers • Evaluate and refine AI performance: Develop business scenarios and evaluation criteria; test AI outputs for accuracy, relevance, and usefulness; refine prompts, instructions, and supporting knowledge; and identify where human review or escalation is required Requirements: • 4+ years of consulting, business transformation, or client-facing advisory experience (7+ years, including independently leading engagements, for senior-level candidates) • Demonstrated experience applying AI/ML or agentic AI solutions to solve real business problems • Strong working knowledge of Agile practices and process improvement frameworks (e.g., Scrum, Kanban) • Hands-on experience mapping, analyzing, and redesigning business processes • Proven track record leading organizational change management and driving technology adoption • Excellent stakeholder management, communication, and executive presentation skills • Ability to define, implement, and track performance metrics and KPIs • Comfortable operating directly with clients in ambiguous, fast-paced environments • Willingness to travel to client sites as needed

Requirements

Must-haves

Req# 1102965027
Lead client engagements and stakeholder alignment: Serve as the primary business point of contact and trusted advisor, aligning stakeholders on transformation goals, priorities, scope, and expected outcomes
Identify and prioritize improvement opportunities: Surface inefficiencies, bottlenecks, risks, and unmet needs; prioritize opportunities based on business value, feasibility, and organizational readiness
Translate business needs into AI use cases: Define actionable AI and agentic solution opportunities, including requirements, success criteria, human oversight, and implications for how work gets done
Design future ways of working: Partner with architects, engineers, and delivery teams to redesign workflows, clarify human and agent responsibilities, and validate solutions through focused pilots
Drive education, adoption, and behavior change: Lead stakeholder engagement, role-based education, coaching, and change initiatives that embed AI into everyday work and build sustained usage
Measure adoption and business impact: Establish baselines and track individual, team, and process-level outcomes—including productivity, quality, cycle time, and adoption—to demonstrate value and guide improvements
Strengthen delivery and continuous improvement: Improve Agile practices across client and internal teams, using feedback and performance data to refine solutions and scale proven approaches
4+ years of consulting, business transformation, or client-facing advisory experience (7+ years, including independently leading engagements, for senior-level candidates)
Demonstrated experience applying AI/ML or agentic AI solutions to solve real business problems
Strong working knowledge of Agile practices and process improvement frameworks (e.g., Scrum, Kanban)
Hands-on experience mapping, analyzing, and redesigning business processes
Proven track record leading organizational change management and driving technology adoption
Excellent stakeholder management, communication, and executive presentation skills
Ability to define, implement, and track performance metrics and KPIs
Comfortable operating directly with clients in ambiguous, fast-paced environments
Willingness to travel to client sites as needed

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilemlscrum

Platform: epam
Effort: medium