Agentic AI Senior Consultant - Marseille [H/F/D]

Infosys

Marseille

Sur place

EUR 90 000 - 130 000

Plein temps

Il y a 10 jours

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Résumé du poste

Infosys in Marseille is seeking an experienced software professional to provide technical direction for GenAI projects and own solution design and implementation decisions. You will drive production-grade AI solutions, architect scalable multi-agent workflows, and ensure quality via governance and observability.

The role requires 8+ years of software development, deep Python expertise, and hands-on experience with LLMs, AI SDKs, and modern DevOps tooling.

Qualifications

  • 8+ years of software development experience.
  • Strong expertise in Python, Mistral Doc Processing and validation, Accuracy computation.
  • Experience of building and deploying production-grade GenAI solutions leveraging LLM APIs, AI SDKs, agent frameworks (LangGraph, ADK, Semantic Kernel, LangChain), and enterprise integrations.
  • Experience of designing intelligent agent workflows with memory management, RAG, tool calling, prompt orchestration, and context engineering to deliver reliable and scalable AI applications.
  • Experience of implementing Responsible AI and quality practices, including AI evaluations (Evals), guardrails, safety controls, observability and monitoring using platforms such as LangFuse, ensuring performance, governance, and compliance.
  • Experience of accelerating development using AI-native engineering tools such as Cursor, Codex, Claude Code, GitHub Copilot, and related coding assistants to improve developer productivity and solution quality.
  • Expertise in developing, testing and optimizing multi-agent systems with strong proficiency in Python, API integrations, cloud-native architectures, and deployment of enterprise-scale AI workloads.
  • Excellent communication and stakeholder management skills

Responsabilités

  • Provide technical direction to the development team
  • Own solution design and implementation decisions
  • Ensure adherence to architecture and coding standards
  • Build Core AI features
  • Qualify, route and resolve defects

Connaissances

Excellent communication
Stakeholder management

Outils

Python
LangGraph
ADK
Semantic Kernel
LangChain
GitHub Copilot
Cursor
Codex
Claude Code
Docker
Kubernetes
CI/CD
Git
LangFuse
LLM APIs
AI SDKs

Description du poste

Job Description

Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

Your Role
  • Provide technical direction to the development team
  • Own solution design and implementation decisions
  • Ensure adherence to architecture and coding standards
  • Build Core AI features
  • Qualify, route and resolve defects
Required
  • 8+ years of software development experience
  • Strong expertise in Python, Mistral Doc Processing and validation, Accuracy computation
  • Experience of building and deploying production-grade GenAI solutions leveraging LLM APIs, AI SDKs, agent frameworks (LangGraph, ADK, Semantic Kernel, LangChain), and enterprise integrations.
  • Experience of designing intelligent agent workflows with memory management, RAG, tool calling, prompt orchestration, and context engineering to deliver reliable and scalable AI applications.
  • Experience of implementing Responsible AI and quality practices, including AI evaluations (Evals), guardrails, safety controls, observability and monitoring using platforms such as LangFuse, ensuring performance, governance, and compliance.
  • Experience of accelerating development using AI-native engineering tools such as Cursor, Codex, Claude Code, GitHub Copilot, and related coding assistants to improve developer productivity and solution quality.
  • Expertise in developing, testing and optimizing multi-agent systems with strong proficiency in Python, API integrations, cloud-native architectures, and deployment of enterprise-scale AI workloads.
  • Excellent communication and stakeholder management skills
Preferred
  • Knowledge of Vector databases and semantic search technologies.
  • Knowledge of AWS/GCP cloud platforms
  • Experience with Docker, Kubernetes, CI/CD, Git, and DevOps practices.
  • Experience in logistics, supply chain domain
About Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys can help your enterprise navigate your next.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer

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