Applied AI Engineer (all genders)

Accenture; Zürich; Hybrid; CHF 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Diversity and inclusion culture

Learning and development opportunities

Mentoring and onboarding support

Flexible work location: office, remote

Zusammenfassung

Accenture seeks an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across enterprise stacks. You will work directly with client teams, lead design sessions, and develop reusable patterns that scale beyond engagements.

You will own RAG pipelines, integrate multiple LLM providers, and implement production-ready LLMOps with observability and cost controls.

Qualifikationen

• Extensive years of software engineering experience in production environments.
• Hands-on experience designing and deploying agentic AI solutions in production.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.
• Experience with agentic orchestration frameworks at production depth.

Aufgaben

• 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, vector search, context window engineering and tuning against quality targets.
• Integrate and abstract across LLM providers with fallback routing, token, cost, and latency management.
• Implement LLMOps in production: eval harnesses, prompt versioning, observability tooling, cost and safety monitoring.
• Embed with client engineering teams to design, prototype, and deploy agentic solutions via workshops and proofs of concept.
• Build reusable patterns and playbooks that scale beyond a single engagement.
• Define metrics for agent accuracy, latency, safety, and cost-effectiveness; present findings to stakeholders.

Kenntnisse

Software engineering

Python

Backend development

Production systems

LLM integration

Observability

System design

Agentic AI

Tools

LangGraph

CrewAI

AutoGen

LangSmith

Braintrust

Kubernetes

Docker

Terraform

Helm

Jobbeschreibung

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

• A workplace culture that celebrates diversity, inclusion, and a sense of belonging.

• Extensive learning and development opportunities to help you continuously build your skills and advance your career.

• Dedicated mentoring and structured onboarding to support your professional growth from day one.

• The flexibility to work where you can make the greatest impact: from an Accenture office, remotely, or directly with clients.

The Accenture Culture: Here, YOU are the catalyst for change

Your skills, personality, and ambitions make you unique. And when diverse talents, strengths, and perspectives come together, something extraordinary happens: ideas that create real impact in the world. That's why, at Accenture, we champion diversity and individual growth. Create a work environment where you can thrive. Take on challenges that matter to you. Shape a workload that fits your life. Work in ways that support your goals. How you connect, learn, and grow is up to you. This is your career. We're here to help you build it the way you envision it.