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Salary
≈ $116k – $268k per year (Estimated)
Location
In office (Zurich)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 17, 2026. Accenture scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.

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.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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