20 beste Stellen als applied ai, senior/staff forward deployed machine learning engineer in gräfelfing, by – aktuell auf Personalsuche

Manager, AI Deployment Engineering - Codex
OpenAI —München
- Vollzeit
- Vertrieb
- JavaScript
- Softwareentwicklung
- Umzugskostenzuschuss
Solutions Engineer (AI/NLP – Enterprise Software) Munich, Germany
drimco —München
- Vollzeit
- Informatik
- Vertrieb
- Scripting
Direkt bewerben
Lead Engineer - Applied AI & Data Products
SQUER —München
- 81.000 € – 103.000 € pro Jahr
- Vollzeit
- Azure
- Java
- Master
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
2 Tage
Senior Data Scientist - Trading (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
Backend Engineer
The Exploration Company —München
- 60.000 € – 75.000 € pro Jahr
- Vollzeit
- Master
- Datenbanken
- AWS
- Umzugskostenzuschuss
Expert Senior Manager, AI Engineering
Bain & Co. —München
- Vollzeit
- Systemdesign
- Master
- Mit Reiseanteil
Direkt bewerben
Working Student Machine Learning (all genders)
Avelios Medical —München
- Teilzeit
- Machine Learning
- Künstliche Intelligenz
- Python
- Flexible Arbeitszeiten
Senior Software Engineer Android (Kotlin) (F/M/D)
NavVis —München
- Softwareentwicklungszyklus
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
Senior Consultant (m/f/d) Data & AI Strategy
Artefact —München
- Hybrides Arbeiten
- Microsoft Powerpoint
- Master
- SQL
Test Automation Engineer (m/f/d)
Quantum-Systems GmbH —Gilching
- Vollzeit
- Informatik
- Softwareentwicklung
- Elektrotechnik
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
3 Tage
Staff Quantitative Researcher – Energy Trading (f/d/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- Forschungserfahrung
- Machine Learning
Direkt bewerben
Intern Demo Experience & Applied AI
Celonis —München
- Vollzeit
- Künstliche Intelligenz
- Python
Senior Data Scientist - Dispatch (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
Werkstudent im Bereich Applied AI & Data Research (m/w/d)
Allianz —München
- Teilzeit
- Doktorat
- Informatik
- Englisch
- Kostenbeteiligung am Arbeitsweg
- Weiterbildungsprogramme
10 Tage
NPI - Product Technical Expert Manager (m/f/d) - for semiconductor industry
Applied Materials —Heimstetten
- 76.000 € – 104.500 € pro Jahr
- Vollzeit
- Master
- Bachelor
- Mit Reiseanteil
Manufacturing Engineer (m/f/d) - for semiconductor industry
Applied Materials —Feldkirchen
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Master
- Bachelor
- Mit Reiseanteil
8 Tage
R&D Mechanical Engineer (m/w/d) - semiconductor industry
Applied Materials —Heimstetten
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Master
- Bachelor
- Produktion
Director Fleet Intelligence & AI (m/f/d)
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Kundenberatung
- SQL
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
Applied AI Architect, Industries
Anthropic —München
- Master
- Bachelor
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Working Student / Intern in Software Engineering & AI (f/m/x)
alago —München
- 17 € – 20 € pro Stunde
- Informatik
- Master
- JavaScript
Direkt bewerben

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applied ai, senior/staff forward deployed machine learning engineer jobs near gräfelfing, by

Manager, AI Deployment Engineering - Codex

OpenAI -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Umzugskostenzuschuss

Qualifikationen

Vertrieb
JavaScript
Softwareentwicklung
Künstliche Intelligenz
Python
Softwareentwicklungszyklus

Vollständige Stellenbeschreibung

About the team

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications.

The Codex Deployment Engineering team focuses on enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows — from early experimentation and pilot design through enterprise-scale production rollout — ensuring AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments.

About the role

We are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands-on with customer development teams to design AI-enabled workflows, deploy production-ready solutions, and establish scalable patterns for AI-powered software development.

As a manager, you will define how deployment engagements operate at scale — setting technical strategy, coaching engineers, and ensuring consistent execution across customer implementations. You will serve as both a people leader and technical advisor, partnering closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights.

Success in this role will be measured by production deployments, sustained developer adoption, and the creation of repeatable deployment patterns that accelerate Codex usage across organizations.

This role is open in both our London and Munich office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:
Lead, hire, and mentor a high-performing team of AI Deployment Engineers supporting Codex customers across strategic accounts.

Own the operating model and engagement strategy for Codex deployment efforts, ensuring customers successfully move from pilot to production adoption.

Guide teams in designing and implementing AI-enhanced development workflows, automations, and scalable deployment architectures.

Act as the senior technical escalation point for complex customer implementations and deployment challenges.

Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities.

Help establish repeatable deployment playbooks, technical patterns, and best practices that enable scaled adoption of AI coding tools.

Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders.

Synthesize insights from customer deployments and translate them into actionable feedback for internal teams.

Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.

You might thrive in this role if you:
Have 8+ years of experience in technical customer-facing roles such as deployment engineering, solutions architecture, technical consulting, or post-sales engineering.

Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.

Have experience deploying Generative AI, developer platforms, or cloud-based software solutions into production environments.

Possess hands-on technical experience with software development systems and programming languages such as Python or JavaScript.

Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows.

Are an effective communicator who can translate complex technical and business topics to both engineering teams and executive stakeholders.

Thrive in ambiguous, fast-moving environments and enjoy building new operating models and teams from first principles.

Demonstrate strong ownership, humility, and a commitment to helping both customers and teammates succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see

OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement

.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through

this form

. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Jetzt bewerben

Erweiterte Suche

applied ai, senior/staff forward deployed machine learning engineer Jobs in gräfelfing, by

Manager, AI Deployment Engineering - Codex

Solutions Engineer (AI/NLP – Enterprise Software) Munich, Germany

Lead Engineer - Applied AI & Data Products

Senior Data Scientist - Trading (d/f/m)

Backend Engineer

Expert Senior Manager, AI Engineering

Working Student Machine Learning (all genders)

Senior Software Engineer Android (Kotlin) (F/M/D)

Senior Consultant (m/f/d) Data & AI Strategy

Test Automation Engineer (m/f/d)

Staff Quantitative Researcher – Energy Trading (f/d/m)

Intern Demo Experience & Applied AI

Senior Data Scientist - Dispatch (d/f/m)

Werkstudent im Bereich Applied AI & Data Research (m/w/d)

NPI - Product Technical Expert Manager (m/f/d) - for semiconductor industry

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

R&D Mechanical Engineer (m/w/d) - semiconductor industry

Director Fleet Intelligence & AI (m/f/d)

Applied AI Architect, Industries

Working Student / Intern in Software Engineering & AI (f/m/x)

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

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