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Senior) Manager - AI Consulting; m​/f​/d

Online/Außer Haus - Idealerweise für Kandidaten in
40210, Düsseldorf, Nordrhein-Westfalen, Deutschland
Unternehmen: EPAM Systems, Inc.
Fernarbeit/Heimarbeit position
Verfasst am 2026-10-04
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur, Maschinelles Lernen, AI Künstliche Intelligenz
Gehalts-/Lohnspanne oder Branchenbenchmark: 110000 - 140000 EUR pro Jahr EUR 110000.00 140000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: (Senior) Manager - AI Consulting (m/f/d)
We're looking for a (Senior) Manager - AI Consulting to join our Data & AI Practice team in Germany in a hybrid working  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.

Responsibilities Partner with business and IT stakeholders to identify opportunities where AI delivers measurable value

Rapidly prototype AI solutions using modern AI platforms, tools and frameworks with iterative client engagement

Translate business problems into AI use cases, defining objectives, success criteria and required data sources

Design and build Generative AI and agentic solutions, including RAG patterns, from prototype to client-ready demonstration

Orchestrate AI agents using platforms such as Databricks Agent Framework, Snowflake Cortex or Microsoft Foundry Contribute to AI and agentic solution architectures in collaboration with Solution Architects and Technical Leads Apply domain knowledge from at least one core industry (Manufacturing, Life Sciences, Logistics, Automotive or Energy) to contextualize solutions

Present AI solutions and outcomes using visual storytelling for technical and business audiences

Develop and justify business cases for AI adoption, focused on cost-benefit and risk analysis

Identify risks, limitations and compliance issues (e.g., EU AI Act, GDPR) throughout solution design and delivery

Requirements

Practical expertise with modern AI technologies (including GenAI and agentic systems) gained from applied data science roles

Domain experience in at least one industry:
Manufacturing, Life Sciences, Logistics, Automotive or Energy Knowledge of statistical methods, predictive modeling and machine learning fundamentals

Ability to rapidly prototype AI solutions using current AI platforms, tools and frameworks

Familiarity with AI platforms (Databricks, Snowflake, Microsoft Foundry, AWS or GCP) and supporting tools for model management

Awareness 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 discussions

Strong communication and presentation skills adaptable to business and technical stakeholders

Confidence managing client relationships in dynamic, ambiguous delivery environments

Demonstrated personal engagement with AI through projects, research or experimentation

Specialist knowledge in at least one area: ML techniques, AI regulation, security, agentic systems or deep learning

Nice to have Professional certification in major AI/data platforms (Azure, Databricks, AWS, GCP)
Experience engineering or scaling large AI/ML systems in production settings

Familiarity with AI/ML monitoring, observability and MLOps/AIOps patterns

Exposure to AI-assisted development tools or frameworks

Ability to prepare and present RFP responses and solution proposals

Experience in business process mapping for agentic AI workflows

Knowledge of vector database technologies for RAG architectures

We offer
30 days holiday per annum

Company Pension Scheme Regular performance assessments

Discount on Fitness-First Black Membershipbitkom - Corporate Benefits Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
Learning and development opportunities, including in-house training and coaching, professional certifications, and courses

Friendly and enjoyable working team Regular corporate and social events

Flexible and remote working opportunities

Award-winning workplace:
Great Place To Work certified in 2026, Kununu (Top Company 2022–2026), New Work Business Award 2025 for outstanding culture, innovation and employee satisfaction.
Stellen-Anforderungen
10+ Jahre Berufserfahrung
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