applied AI director

EPAM; United States; On-site; USD 150,000 - 250,000; Full time

Job summary

EPAM предлагает роль консультанта по Applied AI, работающего с C‑уровнем и советами директоров над стратегиями внедрения генеративного AI и агентных систем в отраслевых контекстах. Ваша задача — определять приоритеты AI‑проектов, демонстрировать ценность и руководить межфункциональными командами от идеи до внедрения.

Требуется опыт в нескольких индустриях, знание AWS/Azure/Google Cloud, а также готовность работать в гибридном формате и управлять изменениями на уровне всей организации.

Qualifications

• Опыт работы не менее 5 лет в отрасли: банковский сектор, финансы, страхование, здравоохранение, науки о жизни, энергетика или utilities.
• Глубокие знания бизнеса, регуляторной среды, моделей операционной деятельности и трансформаций.
• Практический опыт внедрения генеративного ИИ и агентных систем в продукцию.
• Опыт взаимодействия с руководством уровня C‑suite и советами директоров.
• Навыки управления изменениями и донесения ценности проектов сверху вниз.

Responsibilities

• Консультации руководителей высшего звена по агентной трансформации в отраслевой области.
• Определение и развитие AI-стратегий клиента с проверкой гипотез и ценности.
• Проведение Discovery и ideation для перевода задач в AI‑проекты с планом ценности.
• Лидирование внедрения AI в предприятиe и управлении изменениями на уровне организации.
• Развитие практики Applied AI и участие в продажах и формировании предложений.

Skills

Executive stakeholder management

Generative AI

Agentic AI

Regulatory awareness

Business strategy

Tools

AWS

Azure

Google Cloud

Job description

Описание:

EPAM helps organizations turn advances in generative AI into measurable business outcomes. It combines engineering expertise with industry knowledge to help clients identify, design, and scale AI-enabled solutions that deliver real value.

Задачи:

Advise C-suite and board-level stakeholders on agentic transformation within their industry domain Define and drive client AI strategies, applying practical knowledge of generative AI and agentic systems to validate assumptions, challenge flawed thinking, and guide business decisions Conduct discovery and ideation activities that turn complex business challenges into prioritized AI opportunities with a clear path to value Drive enterprise AI adoption by identifying high-impact use cases, quantifying business value, and leading organizational change for sustainable outcomes Lead cross-functional teams across engineering, data, design, and business functions from concept through production and adoption Grow EPAM's Applied AI practice by contributing to talent development, commercial performance, and market positioning Originate and convert enterprise opportunities by shaping engagements, building business cases, and leading presales activities with account and sales teams Track industry, market, and competitive developments to help shape client strategy and EPAM go-to-market initiatives Mentor consultants, specialists, and client stakeholders while helping build AI capabilities across the practice

Требования:

At least 5 years of experience in one of these industries: Banking, Financial Services, Insurance, Healthcare, Life Sciences, Energy, or Utilities, including responsibility for business performance, operating models, or transformation initiatives Deep industry expertise and a strong understanding of business drivers, regulatory environments, unit economics, and competitive dynamics within the relevant sector Hands-on expertise in generative AI and agentic systems, including large language models, multi-agent orchestration frameworks, leading AI platforms, and hyperscaler ecosystems such as AWS, Azure, or Google Cloud Proven experience deploying AI solutions into production and explaining the value delivered, challenges encountered, and how they were addressed Executive stakeholder management experience with senior, C-suite, and board-level leaders to drive AI adoption and large-scale organizational change Commercial acumen across revenue, margin, utilization, opportunity development, business case creation, and engagement growth A transformation leadership mindset focused on reimagining business models, operating models, and value creation through applied AI rather than incremental optimization A strong perspective on the role of agentic AI within the relevant industry, including where AI can create competitive advantage and where human judgment remains critical Practical expertise in at least one specialty area: AI governance and responsible AI, agentic evaluation frameworks, conversational AI, voice AI, or token economics and cost modeling Будет плюсом: experience deploying AI solutions in production environments, knowledge of AI governance, responsible AI or risk management frameworks, experience with conversational AI, voice technologies or multi-agent systems, familiarity with AWS, Microsoft Azure or Google Cloud AI services, experience contributing to thought leadership, market analysis or industry-focused go-to-market activities

Условия:

Hybrid work setup with flexibility to work from the UK, Ireland, Netherlands, Germany, or Switzerland; occasional office visits are required