(Senior) Manager - AI Consulting (m/f/d)

EPAM Systems, Inc.; Frankfurt; Hybrid; EUR 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

30 days holiday per annum

Company Pension Scheme

Learning and development opportunities

Zusammenfassung

EPAM Systems, Inc. in Germany is seeking a Senior Manager - AI Consulting to lead AI strategy delivery for enterprise clients in a hybrid setting.

You will broker value by translating business needs into AI use cases and prototype end-to-end AI demonstrations that show measurable impact. You will design and build Generative AI and agentic solutions, orchestrate AI agents across modern platforms, and collaborate with Solution Architects to craft scalable architectures.

Qualifikationen

• Hands-on experience with modern AI, GenAI and agentic systems.
• Client-facing workshops in German and English.
• Ability to rapidly prototype AI solutions using current platforms and frameworks.

Aufgaben

• Partner with business and IT stakeholders to identify AI value opportunities.
• Rapidly prototype AI solutions with client engagement.
• Translate business problems into AI use cases with measurable objectives and data needs.
• Design and build Generative AI and agentic solutions, incl. RAG patterns, from prototype to client-ready demos.
• Orchestrate AI agents using Databricks Agent Framework, Snowflake Cortex or Microsoft Foundry.
• Contribute to AI/agentic solution architectures with Solution Architects and Tech Leads.
• Apply domain knowledge in Manufacturing, Life Sciences, Logistics, Automotive or Energy.
• Present AI solutions and outcomes using visual storytelling for diverse audiences.
• Develop business cases for AI adoption focusing on cost-benefit and risk.

Kenntnisse

Generative AI

Agentic systems

Rapid prototyping

Stakeholder management

Client workshops

Communication

Data science fundamentals

Tools

Databricks

Snowflake

Microsoft Foundry

AWS

GCP

Jobbeschreibung

We're looking for a (Senior) Manager - AI Consulting to join our Data & AI Practice team in Germany in a hybrid working mode.In this role, you will act as a rapid innovator, using hands-on expertise in modern AI, Generative AI and agentic systems to prototype and deliver AI-driven solutions for enterprise clients. Leveraging a strong applied data science background, you will quickly interpret business needs, design practical use cases and transform ideas into working demonstrations that showcase measurable impact.If you are passionate about bridging business challenges with AI-enabled solutions and influencing real-world adoption, this opportunity allows you to shape how organizations integrate and scale next-generation AI technologies.ResponsibilitiesPartner with business and IT stakeholders to identify opportunities where AI delivers measurable valueRapidly prototype AI solutions using modern AI platforms, tools and frameworks with iterative client engagementTranslate business problems into AI use cases, defining objectives, success criteria and required data sourcesDesign and build Generative AI and agentic solutions, including RAG patterns, from prototype to client-ready demonstrationOrchestrate AI agents using platforms such as Databricks Agent Framework, Snowflake Cortex or Microsoft FoundryContribute to AI and agentic solution architectures in collaboration with Solution Architects and Technical LeadsApply domain knowledge from at least one core industry (Manufacturing, Life Sciences, Logistics, Automotive or Energy) to contextualize solutionsPresent AI solutions and outcomes using visual storytelling for technical and business audiencesDevelop and justify business cases for AI adoption, focused on cost-benefit and risk analysisIdentify risks, limitations and compliance issues (e.g., EU AI Act, GDPR) throughout solution design and deliveryRequirementsPractical expertise with modern AI technologies (including GenAI and agentic systems) gained from applied data science rolesDomain experience in at least one industry: Manufacturing, Life Sciences, Logistics, Automotive or EnergyKnowledge of statistical methods, predictive modeling and machine learning fundamentalsAbility to rapidly prototype AI solutions using current AI platforms, tools and frameworksFamiliarity with AI platforms (Databricks, Snowflake, Microsoft Foundry, AWS or GCP) and supporting tools for model managementAwareness of AI/ML risks, constraints and emerging regulations (EU AI Act, GDPR)Fluency in German and English, with proven experience in client-facing workshops and discussionsStrong communication and presentation skills adaptable to business and technical stakeholdersConfidence managing client relationships in dynamic, ambiguous delivery environmentsDemonstrated personal engagement with AI through projects, research or experimentationSpecialist knowledge in at least one area: ML techniques, AI regulation, security, agentic systems or deep learningNice to haveProfessional certification in major AI/data platforms (Azure, Databricks, AWS, GCP)Experience engineering or scaling large AI/ML systems in production settingsFamiliarity with AI/ML monitoring, observability and MLOps/AIOps patternsExposure to AI-assisted development tools or frameworksAbility to prepare and present RFP responses and solution proposalsExperience in business process mapping for agentic AI workflowsKnowledge of vector database technologies for RAG architecturesWe offer30 days holiday per annumCompany Pension SchemeRegular performance assessmentsDiscount on Fitness-First Black Membershipbitkom - Corporate BenefitsEmployee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)Learning and development opportunities, including in-house training and coaching, professional certifications, and coursesFriendly and enjoyable working teamRegular corporate and social eventsFlexible and remote working opportunitiesAward-winning workplace: Great Place To Work certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.