Senior) Manager - AI Consulting; m/f/d
Online/Außer Haus - Idealerweise für Kandidaten in
40210, Düsseldorf, Nordrhein-Westfalen, Deutschland
Verfasst am 2026-10-04
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
Stellenbeschreibung
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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