1 beste Stelle als python in heidelberg – aktuell auf Personalsuche

Senior Applied AI Engineer (all genders)
Accenture —Mannheim
- Vollzeit
- Master
5 Std.

Check out these similar jobs

Based on your search for python jobs.

Senior Applied AI Engineer (all genders)
Accenture —Mannheim
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic…
5 Std.
Senior Data Scientist & AI Solutions (m/f/d)
RELX —Karlsruhe
We welcome applications from people of all backgrounds, experiences and perspectives. Collaborate with product managers, subject matter experts, engineers and…
59.300 € – 98.600 € pro Jahr

Ich möchte aktuelle Job-E-Mails für Stellen als python in heidelberg erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

python jobs near heidelberg

Jobs als Ai Developer in Nürnberg

Jobs als Ai Developer in Köln

Jobs als Ai Developer in Düsseldorf

Jobs als Ai Governance in Frankfurt Am Main

Jobs als Ai Developer in Leipzig

Senior Applied AI Engineer (all genders)

Accenture -
Mannheim

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 5 Stunden

Qualifikationen

Master

Vollständige Stellenbeschreibung

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This role sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.

Key Responsibilities

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability;
Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets;
Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management;
Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring;
Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs;
Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster;
Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms.

Extensive years of software engineering experience in production environments;
Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable;
Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level;
Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs;
RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering;
LLMOps fundamentals: eval harness design, prompt versioning, and production observability;
Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm);
Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience;
Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure.

What we offer

The opportunity to architect and deliver AI-powered solutions for leading global enterprises across industries, technologies, and complex transformation programs;
Access to cutting-edge AI ecosystems and strategic technology partnerships, including leading cloud and AI platforms, alongside collaboration with highly experienced engineering teams;
Clear pathways to technical leadership, specialist career tracks, mentoring opportunities, and continuous professional development through certifications and advanced learning programs;
Flexible working models and hybrid work options that support sustainable work-life balance and individual ways of working;
Competitive rewards and additional financial benefits, including bonus programs, employee share purchase opportunities, and other role-specific benefits where applicable.

#LI-EU

Jetzt bewerben

Erweiterte Suche

python Jobs in heidelberg

Senior Applied AI Engineer (all genders)

Check out these similar jobs

Ich möchte aktuelle Job-E-Mails für Stellen als python in heidelberg erhalten

Related Searches

Weitere Job-Standorte erkunden

Key Responsibilities

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt