Senior AI Native Engineer

3500 Accenture S.A.S. Company; Paris; Sur place; EUR 110 000 - 170 000; Plein temps

Résumé du poste

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

You will own LLMOps, define RAG pipelines, and establish multi-LLM integration standards across providers. Strong Python and backend skills are essential.

Qualifications

• 8+ years of software engineering 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.

Responsabilités

• Architect and govern production-grade agentic systems at enterprise scale across multi-agent environments.
• Define RAG pipeline standards and embedding strategies with measurable quality.
• Set multi-LLM integration standards across providers including OpenAI and Vertex AI.
• Own LLMOps strategy: eval, prompts governance, observability, and cost controls.
• Lead client engagements, drive architecture sessions, and deliver poof-of-concept work.
• Publish reusable patterns and accelerators to scale practices across engagements.
• Own measurement framework for agentic system quality and business impact.

Connaissances

Agentic AI

LLMOps

RAG pipelines

Kubernetes

Docker

Python

Java

LLM APIs

Production deployment

Observability

LangGraph

CrewAI

AutoGen

Outils

LangGraph

CrewAI

AutoGen

OpenAI API

Vertex AI

Description du poste

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

• Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability
• Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable
• Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models
• Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems
• Lead client engineering engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams
• Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp-up time on new client engagements
• Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme-level AI impact in business terms to senior client stakeholders
• #LI-EU 8+ years of software engineering experience in production environments
• Minimum 1 year of 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
• People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations

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 at www.accenture.com

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