20 beste Stellen als applied ai, forward deployed machine learning engineer in münchen, by – aktuell auf Personalsuche

Expert Senior Manager, Forward Deployed AI Engineer
Bain & Co. —München
- Vollzeit
- Systemdesign
- Master
- Künstliche Intelligenz
Direkt bewerben
3 Tage
Senior Deep Learning Engineer (m/f/d)
Omegga —München
- Vollzeit
- Doktorat
- Master
- Künstliche Intelligenz
Direkt bewerben
AI Deployment Strategist - Munich, Germany
Mistral AI —München
- Vollzeit
- Vertrieb
- JavaScript
- Künstliche Intelligenz
- Mitgliedschaft im Fitnessstudio
AI Agent Specialist (d/f/m)
Flexa —München
- 58.000 € – 70.000 € pro Jahr
- Vollzeit
- Master
- APIs
- Künstliche Intelligenz
Direkt bewerben
Space Situational Awareness Engineer
OKAPI:Orbits GmbH —München
- Vollzeit
- Wartung
- Java
- Master
- Flexible Arbeitszeiten
Direkt bewerben
4 Tage
Senior Solutions Architect, Physical AI, Generative AI and Physical AI at NVAITC
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
2 Tage
Manufacturing Quality Engineer (m/f/d) - for semiconductor industry
Applied Materials —Heimstetten
- Vollzeit
- Bachelor
- Mit Reiseanteil
- Produktion
Forward Deployment Engineer
Bain & Co. —München
- Vollzeit
- Systemdesign
- Master
- Künstliche Intelligenz
Direkt bewerben
1 Tag
Project Manager AI & Engineering (m/f/d)
TWT Science & Innovation —München
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Unternehmensentwicklung
Application Engineer (m/f/d) - semiconductor industry
Applied Materials —Feldkirchen
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Mit Reiseanteil
- Produktion
- Elektrotechnik
Team Lead Machine Learning (m/f/x) - Remote Sensing
osapiens —München
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
Direkt bewerben
R&D Verification & Qualification Engineer (m/f/d) - Semiconductor Industry
Applied Materials —Heimstetten
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Doktorat
- CAD
- Datenanalyse
Senior Data Scientist (m/w/d) mit Fokus AI
Skalar —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Datenbanken
External Lecturer on a fee basis Applied Data Engineering f/m/d
SRH University —München
- Doktorat
- Master
- SQL
Electrical Engineer (m/f/d) - for semiconductor industry
Applied Materials —Feldkirchen
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Mit Reiseanteil
Solution Architect, Computer Vision – Media and Entertainment
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
Senior AI Software Engineer (all genders)
Kertos GmbH —München
- Vollzeit
- Master
- APIs
- Künstliche Intelligenz
Direkt bewerben
Customer Engineer PDC Sem
Applied Materials —Feldkirchen
- 52.000 € – 71.500 € pro Jahr
- Vollzeit
- Wartung
- Mit Reiseanteil
- Elektrotechnik
3 Tage
Manager, AI Deployment Engineering - Codex
OpenAI —München
- Vollzeit
- Vertrieb
- JavaScript
- Softwareentwicklung
- Umzugskostenzuschuss
Supplier Quality Engineer (m/f/d) - semiconductor industry
Applied Materials —Heimstetten
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Master
- Bachelor
- Mit Reiseanteil

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Expert Senior Manager, Forward Deployed AI Engineer

Bain & Co. -
München

Direkt bewerben

Details zur Stelle

Vollzeit
vor 3 Tagen

Qualifikationen

CI/CD
React
Systemdesign
Master
Künstliche Intelligenz
Graphdatenbanken
Deutsch

Vollständige Stellenbeschreibung

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU’LL WORK WITH
You’ll join our engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You’ll work with integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHERE YOU’LL FIT WITHIN THE TEAM
The Expert Senior Manager, Forward Deployed AI Engineer will architect, build, and scale next-generation generative AI systems and agentic solutions for Bain’s clients. As a leader in the practice, you will sit at the intersection of advanced engineering, applied AI research, product strategy, and responsible AI governance. You will own the full lifecycle—from research and experimentation to production deployment and ongoing optimization—and guide teams across engineering, product, data science, ethics, and client stakeholders.

WHAT YOU’LL DO

Design, build, and deploy end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Architect multi-component pipelines, including:
Retrieval-Augmented Generation (RAG)
Fine-tuning and parameter-efficient tuning
Embedding generation and optimization
Hybrid retrieval strategies (vector, graph, keyword)
Integrate reasoning, tool use, function calling, and orchestration across complex workflows
Engineer advanced agentic systems, ensuring clear separation of concerns, robust memory architecture, and scalable tool ecosystems
Lead everything from early-stage research, model experimentation, and evaluation design to production system deployment
Oversee API development, microservices, CI/CD pipelines, observability, and cloud-native deployment
Design for interoperability using emerging standards such as Model Context Protocol (MCP)
Build scalable GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvement
Balance performance, safety, responsible AI principles, and cost across system design:
Implement guardrails, fallbacks, red-teaming strategies, and human-in-the-loop (HITL) workflows
Partner with global ethics teams to ensure alignment with Bain’s Responsible AI standards
Build automated evaluation suites integrating user signals, continual learning cycles, and ongoing model updates
Design and implement evaluation frameworks covering:
Hallucination rate and factual consistency
Relevance and precision/recall
Latency, throughput, and system-level performance
Cost tracking and efficiency
Partner closely with product, engineering, data science, ethics, and infrastructure teams to build robust, compliant AI systems
Originate, scope, and sell AI engagements from shaping proposals, building client relationships, to driving commercial growth for the practice
Act as a thought partner to executives and clients on AI strategy, architecture decisions, emerging capabilities, and implementation roadmaps
Mentor and upskill technical teams on best practices including RAG, agents, prompt engineering, and AI safety

ABOUT YOU

8-12+ years in software engineering, ML engineering, or applied AI roles with significant hands-on building responsibilities
German language proficiency at C1 level or higher
Demonstrated experience leading complex, multi-stack generative AI programs from conception through production
Strong executive communication skills with the ability to translate highly technical concepts to business stakeholders
Track record of leading engineering teams, mentoring technical talent, and collaborating with diverse cross-functional groups
Advanced prompt engineering, context engineering, and conversation design
Strong expertise in evaluation design, experimentation frameworks, and data labeling strategies for LLM apps
Designing for interoperability using emerging standards such as Model Context Protocol (MCP)
Experience with common tools such as Claude Code, Codex, Cursor
Deep experience with:
Advanced RAG architectures (vector, hybrid, graph-based retrieval)
Agentic architectures (multi-agent systems, tool selection, routing, memory, planning, reflection)
ReAct, RLAIF, and other HITL + feedback loops.
AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystems
Tools such as Claude Code, Codex, Cursor
Strong background in system design, architecture, and production-grade deployment
Deep familiarity with cost optimization and computational tradeoffs for LLM workloads
Comfort operating in high-ambiguity environments with collaborative cross-functional teams
Clear ability to lead, mentor, and inspire technical teams
Experience in client-facing consulting or enterprise transformation environments is a strong plus

Direkt bewerben

Erweiterte Suche

applied ai, forward deployed machine learning engineer Jobs in münchen, by

Expert Senior Manager, Forward Deployed AI Engineer

Senior Deep Learning Engineer (m/f/d)

AI Deployment Strategist - Munich, Germany

AI Agent Specialist (d/f/m)

Space Situational Awareness Engineer

Senior Solutions Architect, Physical AI, Generative AI and Physical AI at NVAITC

Manufacturing Quality Engineer (m/f/d) - for semiconductor industry

Forward Deployment Engineer

Project Manager AI & Engineering (m/f/d)

Application Engineer (m/f/d) - semiconductor industry

Team Lead Machine Learning (m/f/x) - Remote Sensing

R&D Verification & Qualification Engineer (m/f/d) - Semiconductor Industry

Senior Data Scientist (m/w/d) mit Fokus AI

External Lecturer on a fee basis Applied Data Engineering f/m/d

Electrical Engineer (m/f/d) - for semiconductor industry

Solution Architect, Computer Vision – Media and Entertainment

Senior AI Software Engineer (all genders)

Customer Engineer PDC Sem

Manager, AI Deployment Engineering - Codex

Supplier Quality Engineer (m/f/d) - semiconductor industry

Ich möchte aktuelle Job-E-Mails für Stellen als applied ai, forward deployed machine learning engineer in münchen, by erhalten

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