20 beste Stellen als ai engineer in frankfurt am main, he – aktuell auf Personalsuche

AI Native Product Engineer & Orchestrator (all gender)
Accenture —Kronberg
- Vollzeit
- Informatik
- Java
- Bachelor
Data Center Technician
Google —Frankfurt am Main
- 70.000 € – 72.000 € pro Jahr
- Wochenendarbeit möglich
- Bachelor
- Ohne Hochschulabschluss
- Erfahrung mit Netzwerken
2 Tage
AI Engineer (m/w/d) – Inhouse
SOMI Experts GmbH - Internal —Frankfurt am Main
- Vollzeit
- DevOps
- Datenbanken
- APIs
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
GenAI / Agentic AI Engineer (all genders)
Accenture —Kronberg
- Vollzeit
- Azure
- Informatik
- Englisch
Junior Data & AI Engineer (f/m/x)
Yttrium GmbH —Frankfurt am Main
- Informatik
- SQL
- APIs
AI Engineer (w|m|d)
BridgingIT GmbH —Frankfurt am Main
- 50.000 € – 80.000 € pro Jahr
- Vollzeit
- Azure
- SQL
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Specialist/Engineer AI/"Intent-Based Netorking" (m/w/d)
racksnet GmbH —Bad Soden am Taunus
- Azure
- Informatik
- AWS
AI/ML Engineer (w/m/d)
1&1 Telecommunication SE —Frankfurt am Main
- Online-Bewerbung
- CRM-Software
- Informatik
- Master
- Weiterbildungsprogramme
AI Engineer for Industry digitalisation product (m/f/d)
JUSTROCKET —Frankfurt am Main
- Montag bis Freitag
- Hybrides Arbeiten
- Azure
- ERP-Systeme
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Principal Engineer (IT Automation & AI-native Transformation)
SoSafe —Frankfurt am Main
- Vollzeit
- Künstliche Intelligenz
- Führungserfahrung
- Flexible Arbeitszeiten
- Empfehlungsprogramm
14 Tage
Senior AI Engineer - Applied AI & Multi-Agent Orchestration (f/m/d)
Deutsche Börse —Frankfurt am Main
- Hybrides Arbeiten
- Informatik
- Master
- Datenbanken
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
14 Tage
AI Engineer II - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Azure
- Datenbanken
- Softwareentwicklung
Direkt bewerben
IT DC Infrastructure Engineer (m/f/d)
NTT Global Data Centers —Frankfurt am Main
- Vollzeit
- Englisch
- Master
- Mit Reiseanteil
KI Prompt Engineer/AI Consultant (m/w/d) – 100% remote
mycareernow GmbH —Bad Homburg vor der Höhe
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
Senior AI / ML Engineer (w/m/d)
Cofinpro —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- AWS
- Weiterbildungsprogramme
Direkt bewerben
Software Engineer, Platform - Frankfurt, Germany
Speechify —Frankfurt am Main
- 30.000 € – 120.000 € pro Jahr
- Homeoffice
- Azure
- Doktorat
- AWS
9 Tage
Equity Platform AI Engineer (f/m/d)
Allianz —Frankfurt am Main
- Vollzeit
- Doktorat
- Informatik
- Master
- Flexible Arbeitszeiten
Azure Data Engineer II - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Azure
- DevOps
- SQL
Direkt bewerben
AI/ML Ops Engineer (w/m/d)
1&1 Telecommunication SE —Frankfurt am Main
- Online-Bewerbung
- Informatik
- DevOps
- Künstliche Intelligenz
- Weiterbildungsprogramme
Team Lead IT Data & AI Governance (m/f/d)
KION Information Management Services GmbH —Frankfurt am Main
- Vollzeit
- Informatik
- Master
- APIs
- Employee Assistance Program
- Flexible Arbeitszeiten

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AI Native Product Engineer & Orchestrator (all gender)

Accenture -
Kronberg

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Informatik
Kubernetes
C#
Java
Docker
Bachelor
Terraform
APIs
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

We Are

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our teams embed deeply with customers, orchestrating people, tools, and processes to move projects beyond experimentation into operational reality.

You Are

An AI Native Product Engineer with 3–5 years of experience building cloud-native solutions and orchestrating cross-functional efforts. You combine hands-on engineering depth with the creativity and product intuition to shape solutions that make sense for real users and enterprises. You’re as comfortable writing production code as you are whiteboarding system designs, facilitating a client workshop, or mapping a product roadmap. You thrive in ambiguity and act as a bridge between vision and execution.

The Work

You’ll embed directly with clients — acting as technologist, product thinker, and trusted advisor. You’ll orchestrate diverse stakeholders, align technical tradeoffs with business goals, and creatively stitch together net-new platforms and workflows. Often, you’ll be shaping not only the what but also the why and how of AI-native systems that must operate reliably at enterprise scale.

Responsibilities

Product Orchestration: Partner with business and technical stakeholders to frame problems, align priorities, and translate needs into orchestrated AI workflows.
Agent Architecture & Engineering: Design and engineer enterprise-ready AI agents — including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Creative Problem Solving: Prototype novel solutions that blend technical rigor with human-centered product thinking.
AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
Cloud-Native Product & Software Engineering: Apply containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to create and integrate scalable AI-native systems.
Domain-Specific Workflows: Tailor and deploy agentic applications across industry verticals (e.g. finance, healthcare, retail) — addressing domain-specific processes via intelligent automation.
Storytelling & Communication: Lead design workshops, POCs, and code-with sessions; communicate technical tradeoffs and solution impact clearly to both executives and engineers.
Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Here’s What You Need

3–5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
Strong programming experience in Python, Java, C# or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
Experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
Excellent client communication (in German and English) and collaboration skills — able to orchestrate across stakeholders, run design workshops, and deliver under ambiguity.
Bachelor’s degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus.

Bonus Points If

You’ve served as a Product Engineer, Solutions Architect, or Agentic AI Engineer in an enterprise environment.
You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
You master the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
You’ve demonstrated creative solutioning (e.g., hackathons, product incubation, startup experience).

You and Accenture

In this role, you’ll be part of Accenture Technology’s SAP Business Group. We leverage the full spectrum of digital technologies to simplify our clients’ everyday operations and lead their businesses into the future—from #CustomerExperience to #GenAI, from #SAPDataManagement to #360°ValueDifferentiation.

The Accenture Culture: Here, YOU Make the Difference

Your skills, personality, and ambitions make you unique. And when diverse talents, strengths, and perspectives come together, something extraordinary happens: ideas that truly make an impact. That’s why Accenture champions diversity and individual freedom. Create a work environment where you thrive—with tasks you care about, a workload that suits you, and a working style aligned with your goals. How you network, learn, and grow personally is up to you. It’s your career. We’re here to help you shape it the way you envision.

Your Contact

Still have questions? Feel free to reach out to our recruiting team by email at [email protected] or by phone at 00800 45045045.

We look forward to your application!

Jetzt bewerben

Erweiterte Suche

ai engineer Jobs in frankfurt am main, he

AI Native Product Engineer & Orchestrator (all gender)

Data Center Technician

AI Engineer (m/w/d) – Inhouse

GenAI / Agentic AI Engineer (all genders)

Junior Data & AI Engineer (f/m/x)

AI Engineer (w|m|d)

Specialist/Engineer AI/"Intent-Based Netorking" (m/w/d)

AI/ML Engineer (w/m/d)

AI Engineer for Industry digitalisation product (m/f/d)

Principal Engineer (IT Automation & AI-native Transformation)

Senior AI Engineer - Applied AI & Multi-Agent Orchestration (f/m/d)

AI Engineer II - Agentic AI Platform

IT DC Infrastructure Engineer (m/f/d)

KI Prompt Engineer/AI Consultant (m/w/d) – 100% remote

Senior AI / ML Engineer (w/m/d)

Software Engineer, Platform - Frankfurt, Germany

Equity Platform AI Engineer (f/m/d)

Azure Data Engineer II - Agentic AI Platform

AI/ML Ops Engineer (w/m/d)

Team Lead IT Data & AI Governance (m/f/d)

Ich möchte aktuelle Job-E-Mails für Stellen als ai engineer in frankfurt am main, he erhalten

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