As a Manager in EY GDS Tech Ops practice, you will be responsible for hands-on technical leadership, stakeholder collaboration, and delivery ownership, designing, and operationalizing intelligent AI agents and autonomous workflows that leverage LLMs, AI services, and enterprise integrations.
Responsibilities
Lead and manage a team of AI Engineers, Developers, and Solution Architects, providing technical guidance, coaching, mentoring, and career development support.
Own end-to-end delivery of AI and automation engagements, ensuring quality, timelines, budget adherence, and stakeholder satisfaction.
Design, develop, and deploy Agentic AI solutions leveraging Large Language Models (LLMs), multi-agent architectures, retrieval systems, and AI orchestration frameworks to automate complex business and engineering workflows.
Architect and implement AI-powered autonomous workflows and intelligent agents capable of reasoning, planning, decision-making, and executing tasks across enterprise systems.
Integrate LLMs, NLP, Computer Vision, and other AI/ML services into enterprise applications and platforms through APIs, SDKs, and cloud-native architectures.
Requirements
Bachelor’s or master’s degree in computer science, Engineering, or related field
Build and maintain agent orchestration, evaluation, codebase analysis, and verification systems for AI software engineering.
Compensation
Salary range: EUR 100,000 to EUR 160,000 annually. Visa sponsorship is available.
Responsibilities
Build and maintain agent orchestration, evaluation, codebase analysis, and verification systems.
Develop a reusable framework for dividing engineering work across agents, managing dependencies and shared state, and integrating changes into releasable software.
Create evaluation suites, deterministic checks, and regression tests to assess agent-generated changes.
Define where human review and decision-making are needed, and communicate findings and confidence clearly.
Work with product engineering teams to pilot workflows and improve them based on production evidence.
Design and build AI-powered test harnesses, integrate LLMs with tools and automation frameworks, maintain automated UI, API, and integration test suites, and mentor engineers on harness design and automation practices.
Responsibilities
Design and extend AI-powered test harnesses where agents plan, execute, validate, and analyze test scenarios.
Integrate LLMs (OpenAI, Claude, Gemini, or similar) with tools, APIs, and automation frameworks, with evaluation and guardrails to prevent false positives.
Build and maintain automated UI, API, and integration test suites that run reliably in CI/CD pipelines, keeping them fast and maintainable.
Turn Jira acceptance criteria and Figma designs into test plans, and run exploratory, regression, and functional testing across QA and UAT.
Identify and communicate defects with clear reproduction steps and evidence, and drive triage with developers and product.
Lead the design, development and deployment of machine learning, generative AI and agentic AI solutions, including LLM-based platforms, for Accor’s global hospitality operations.
Locations (2)
Issy-les-Moulineaux, Île-de-France, France
Île-de-France, France
Responsibilities
Deliver end-to-end AI initiatives from problem framing to deployment and continuous improvement
Design and implement LLM-based solutions such as conversational assistants and agentic workflows
Define and lead Accor’s AI architecture ensuring scalability and alignment with emerging technologies
Establish best practices in prompt engineering, model evaluation, MLOps and technical documentation
Collaborate with Data, Platform and Product teams to industrialize AI solutions
Requirements
Master's degree in Engineering, Computer Science, Data Science, or a related field
Design, implement, and deploy intelligent systems powered by large language models, agent orchestration frameworks, and embedding-based retrieval solutions, focusing on scalable workflows, cloud-native delivery, and real-world GenAI application integration.
Responsibilities
Independently design and implement intelligent systems
Deploy large language models and agent orchestration frameworks
Architect and lead the technical strategy for Apple’s People Systems platform, shaping configuration-driven, scalable, and secure systems that support recruiting, onboarding, core HR, payroll, compensation, and benefits.
Responsibilities
Design and architect large-scale, configuration-driven platforms for People Systems
Define data models, rules, workflows, permissions, screens and reports
Ensure system scalability, security, and resilience
Collaborate with product managers and cross-functional engineering teams
Translate business requirements into technical designs
Requirements
BS or MS in Computer Science, Software Engineering or related field
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