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Sopra Steria

IT consulting, digital services, and transformation

AI Agent Development for Verification and Validation of Critical Software Intern

AI Application EngineeringPosted on Nov 12
InternshipToulouse, FranceNo salary listedIn-person

About the Job

Requirements

  • Be a student in the fifth year (Bac+5) of an engineering school or university program, specializing in computer science, artificial intelligence, software engineering, or critical systems, and seek a final-year internship.
  • Have good Python skills and a particular interest in generative artificial intelligence, large language models, retrieval-augmented generation, prompt engineering, and agentic architectures.
  • Be comfortable working in Linux environments and using development tools such as Git and Docker.
  • Be curious, rigorous, and autonomous, with an interest in experimentation and complex technical problems.

Responsibilities

  • Analyze specification, review, verification, testing, traceability, and coverage activities, and formalize explicit DO-178C verification and validation workflows with steps, roles, inputs and outputs, business rules, acceptance criteria, and checkpoints.
  • Identify, for each scenario, deterministic tasks and tasks that can be assisted by artificial intelligence or human validation.
  • Design an orchestration architecture that decomposes business workflows into specialized tasks and delegates them to different agents, tools, or deterministic functions.
  • Define triggering, delegation, escalation, validation, and termination rules for agentic loops.
  • Define typed, traceable intermediate data structures for agents to manipulate requirements, specifications, tests, results, coverage items, evidence, and traceability relationships.
  • Implement a representation of workflow state that retains context, decision history, produced artifacts, and information needed for successive agent iterations.
  • Define deterministic safeguards to validate agent inputs and outputs before the workflow advances, including schema validation, consistency rules, data completeness, traceability checks, and recovery mechanisms in case of failure.
  • Define an experimental protocol to assess workflows using metrics for accuracy, completeness, reproducibility, traceability, human-intervention rate, agent failure and recovery rate, and reduction in verification and validation effort.
  • Compare delegation and orchestration strategies to identify architectures suited to critical-software development.

About the Company

Sopra Steria

IT consulting, digital services, and transformation

Sopra Steria provides consulting, digital services and solutions to help large organizations transform their business through technology. Its offerings cover strategy, systems integration, cloud, cyber security, software development, and managed services, designed to be delivered end to end—from assessing needs and designing a plan to implementing and operating IT systems. The company combines deep knowledge of many industries with a collaborative approach to tailor projects to each client and to deliver measurable, sustainable improvements in performance. Differentiators include its European scale (about 51,000 employees across roughly 30 countries), broad scope—from strategy to operation—and emphasis on practical outcomes that help clients stay competitive. The group’s goal is to put digital to work for its clients in a way that creates a positive, more productive future for all stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1968

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