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Technology Consulting Principle/ Applied AI Consultant

EPAM Systems

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At a glance

Compensation
No compensation found
Location
Los Angeles, CA
Work Authorization
Not specified

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Job overview

EPAM is seeking a client-facing Technology Consulting Principal/Applied AI Consultant to help organizations turn AI ambitions into adopted change. The consultant partners with clients to assess processes and AI readiness, identify and define AI use cases, and lead workflow redesign, education, and change initiatives. The role also involves prototyping and evaluating AI workflows, measuring adoption and business impact, and improving delivery practices.

Skills & qualifications

RequiredNice to have

Skills

AI/ML SolutionsAgentic AIAgile PracticesProcess ImprovementBusiness Process MappingBusiness Process AnalysisBusiness Process RedesignChange ManagementTechnology AdoptionStakeholder ManagementCommunicationExecutive PresentationPerformance MetricsKPI Tracking

Qualifications

4+ Years Consulting or Advisory Experience7+ Years Senior-Level ExperienceClient-Site Travel

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Tuition Assistance
401(k) Match
Paid Time Off

Full 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

We offer

  • Medical, Dental and Vision Insurance (Subsidized)

  • Health Savings Account

  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

  • Short-Term and Long-Term Disability (Company Provided)

  • Life and AD&D Insurance (Company Provided)

  • Employee Assistance Program

  • Unlimited access to LinkedIn learning solutions

  • Matched 401(k) Retirement Savings Plan

  • Paid Time Off

  • Legal Plan and Identity Theft Protection

  • Accident Insurance

  • Employee Discounts

  • Pet Insurance

  • Employee Stock Purchase Program

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

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