Head of IT and AI Operations Paris Growth – IT and AI Ops / CDI / Hybrid We are looking for a Head of IT & AI Ops to lead the systems, infrastructure, tooling, security, and operational practices that allow our teams to move fast without compromising reliability, confidentiality, or scientific excellence. Reporting to the COO, you will lead a ~20-person organization built around two teams, IT and AI Ops, each with a Head already in place. The IT team covers Corporate IT, Cloud & Infra Ops and Cybersecurity, while the MLOps team enables researchers and engineers to develop, deploy, monitor, and reproduce data and model-driven workflows. You will work closely with Software, Firmware, Calibration, Quantum Hardware, Data, Security, People, Finance, and Executive Leadership teams to turn operational needs into robust, scalable, and elegant systems. Your role is to create leverage for the entire company: enabling scientists to iterate faster, engineers to deploy with confidence, employees to work seamlessly, and leadership to make decisions based on reliable data and robust operations. You will build systems that can scale with Alice & Bob's ambition through 2030 and beyond. Responsibilities: - Lead and grow the IT & AI Ops organization Manage two Heads of (IT and AI Ops) and their respective teams. Define team structure, operating rhythms, hiring roadmap, and performance standards as the organization scales toward and beyond 20 people. - Own IT strategy and operations Set the direction for workplace technology, identity and access management, endpoint management, SaaS administration, support operations, asset lifecycle, vendor management, procurement, and documentation. Ensure a consistent, reliable IT experience across Paris, Aubervilliers, and remote contexts. - Build AI tooling and infrastructure for internal teams Define and execute the AI Ops strategy serving researchers, engineers, calibration, and data teams. Deliver reproducible experiment pipelines, version and data management, CI/CD for ML workflows, observability, and model lifecycle tooling, calibrated to the realities of a quantum hardware environment. - Own infrastructure, reliability, and security Lead the evolution of internal infrastructure across cloud, on-premise, lab-adjacent systems, networks, storage, and compute environments. Support data-heavy and experiment-driven workflows, including interfaces with software, HPC clusters, and lab systems. Lead the implementation of security controls, access governance, endpoint security, incident response, and business continuity. Drive ISO 27001, NIS2, and related compliance efforts. Protect Alice & Bob's intellectual property through enforceable, scalable, and non-blocking security practices. - Act as operational technology partner to the COO Own the IT & AI Ops roadmap, budget, and KPIs. Surface risks, infrastructure gaps, and capability investments to executive leadership. Translate operational complexity into clear decisions. Requirements: - 10+ years of experience in a relevant technological field, with demonstrated experience managing managers and structuring multi-team organizations. - Strong IT operations foundation: identity and access management, endpoint lifecycle, SaaS stack administration, support operations, vendor management, and security controls at scale. - Solid Cloud & Infrastructure Operations background: multi-cloud architecture and cost governance, infrastructure-as-code, container orchestration, network and storage management, reliability engineering, and capacity planning across production and research environments. - Hands-on Cybersecurity expertise: threat detection and incident response, vulnerability management, security architecture review, compliance frameworks, data protection controls, and embedding security practices across engineering and operational workflows. - Proven MLOps or ML infrastructure experience: reproducible pipelines, experiment tracking, data and model versioning, CI/CD for ML workflows, and observability in research and engineering environments. - Ability to operate across a technically diverse organization: PhD-level researchers, hardware engineers, software engineers, and business stakeholders. You are comfortable with ambiguity, but you do not let ambiguity become chaos: you create structure, make trade-offs explicit, and drive decisions. - Strong execution discipline: roadmap ownership, budget management, prioritization under constraint, measurable delivery. You can zoom out to define strategy and zoom in to debug a process, challenge an architecture, or unblock a team. - You combine a strong service mindset with the ability to enforce standards. You care deeply about user experience, and you know when pragmatism must give way to rigor. - Fluent in French & English. Nice to have: - Experience in deeptech, quantum, semiconductor, aerospace, HPC, or another R&D-intensive hardware environment. - Experience supporting scientific computing environments: GPU/CPU clusters, SLURM, Kubernetes, distributed systems. - Experience managing IT operations across multiple sites. - Experience with AI tooling governance and secure adoption of LLM tools within a technical organization. Benefits: - Our success is your success: own it with our BSPCE plan - Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture. - Flexible remote policy, up to 40 % a month - A Parental plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children - Subsidized membership with Urban Sports Club - Mental health support with moka.care - 25-day vacation policy (as per French law) + RTT - Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users - Competitive health coverage, with Alan. - Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen - French language courses covered by the company for those interested

Role Description BCE Global Tech's Global Quality Engineering (GQE) function is building one of Canada's most ambitious AI quality programs — certifying every AI and agentic system deployed across Bell Canada before it reaches production. As a QA AI Specialist, you sit at the intersection of artificial intelligence, software engineering, and quality assurance: a hybrid role that does not yet have a textbook, because the discipline is being written in real time. You will do two things simultaneously: - Bring AI into GQE's existing testing practice — embedding AI-powered capabilities into the test automation tooling, pipelines, and frameworks that 250 QA engineers already use every day. - Build and operate the evaluation frameworks that test the AI systems being created by other Bell engineering teams — agents, orchestration pipelines, RAG applications, Salesforce AgentForce workflows, and ServiceNow Now Assist integrations. Qualifications - 5+ years of software quality engineering experience, with at least 2 years working directly with AI/ML systems, LLMs, or AI-powered applications. - Hands-on experience building or evaluating LLM-based applications — including prompt engineering, RAG pipelines, or agentic workflows. - Proficiency in Python: test framework development, API integration, data processing, and evaluation scripting. - Experience with modern test automation frameworks (Playwright, Selenium, Pytest, RestAssured, Postman/Newman) and CI/CD platforms (GitHub Actions, Google Cloud Build, Jenkins). - Working knowledge of at least one major AI/ML platform — Google Vertex AI, Azure OpenAI, or AWS Bedrock — with hands-on API usage. - Strong conceptual understanding of how LLMs work: tokenization, temperature and sampling, context windows, grounding, hallucination mechanics, and fine-tuning. - Demonstrated ability to design test strategies for non-deterministic systems — moving beyond assertion-based testing to probabilistic, rubric-based evaluation. Requirements - AI-Enhanced QA Tooling - Modernize GQE’s QA stack by embedding AI to improve speed, coverage, and intelligence: - Integrate AI-driven test generation into Selenium, Playwright, and Postman frameworks. - Use predictive models to prioritize tests based on code changes and defect history. - Enable self-healing automation for UI/API changes. - Automate defect triage and root-cause analysis using failure clustering. - Support natural-language test authoring (English/French) for non-technical QA. - Continuously pilot emerging AI testing tools via a technology radar. - AI Evaluation & Quality Pipelines - Build scalable evaluation systems tailored for AI behavior, not rule-based logic: - Implement LLM-as-Judge pipelines on Vertex AI (Gemini) across key quality dimensions. - Generate large, diverse, and adversarial test corpora from seed intents. - Evaluate RAG systems using metrics like faithfulness, relevance, and recall (RAGAS). - Validate multi-step agent workflows, tool usage, and escalation behavior. - Embed AI evaluations into CI/CD as mandatory release gates. - AI Safety & Adversarial Testing - Operate a dedicated AI red-teaming capability to uncover AI-specific risks: - Execute prompt injection and poisoned-context attacks on RAG systems. - Run automated jailbreak and constraint-bypass probes (e.g., Garak). - Systematically test hallucination, numerical accuracy, and domain knowledge. - Assess toxicity, bias, and fairness across English and French interactions. - Stress-test agentic systems for runaway actions and scope violations. - Continuous Quality Evolution - Ensure the quality framework evolves as models and systems change: - Monitor production AI outputs for quality drift and trigger re-certification. - Feed real production failures back into the test corpus. - Track model/version changes and generate quality delta reports. - Maintain a living benchmark of Bell-specific AI quality standards. - Continuously adopt new evaluation research and industry best practices. - Partner early with AI/ML teams to embed quality by design. - AI Quality Certification Operations - Lead technical execution of the AIQC program: - Own Tier 2 & 3 certification testing from corpus design to red-teaming. - Calibrate LLM-as-Judge rubrics using human-labeled golden datasets. - Produce clear AI Quality Certificates with scores, risks, and conditions. - Advise teams on AI testability, prompts, and evaluation instrumentation. - Contribute to AIQC playbooks, documentation, and knowledge sharing. Benefits - Competitive salaries and comprehensive health benefits. - Flexible work hours and remote work options. - Professional development and training opportunities. - A supportive and inclusive work environment. - Access to cutting-edge technology and tools.

Role Description Seeking a Distinguished Technologist to be a strategic member of the North America Strategic Pursuit Team, providing broad technical thought leadership around the HPE portfolio, providing innovative and strategic ideas to the account team and customer, leveraging your knowledge of the FSI, High Tech Manufacturing, Retail, or Services industries and the common solution stacks used by customers in these verticals to address customer IT and business needs. As the trusted advisor to the account team and the customer, you will be the key influencer in decisions regarding strategy and investments made on the account. Through your experience and expertise, you will help the customer meet their business and IT goals while helping HPE expand their relationship with the customer and presence on the account. As an integral part of the Strategic Pursuit Team, you will provide mentoring and guidance to the specialty sales, presales and solution architect team members. Key Responsibilities - Maintain awareness of key High-Tech Manufacturing, Retail, or Services industry solutions and trends. - Establish and maintain relationships with key FSI, High-Tech Manufacturing, Retail, or Services industry ISV's and integrators. - Maintain awareness of industry trends and broader aspects of the vertical market the customer participates in to provide forward-thinking insights and suggestions. - Be the trusted advisor to the customer and the account team. - Must be capable of architecting an end-to-end solution and have a broad understanding of the inner workings of the data center, Hybrid, and Public Clouds. - Review trends, processes, technologies etc. that become available then translate into how they can be leveraged to address customer issues or goals. - Document and share ideas across the account, complying with firewalled or NDA requirements. - Develop thought leadership presentations/white papers to be distributed across the account. - Share findings with broader HPE Enterprise Architect team and the office of the CTO (accounts, industry and BU's) ensuring an understanding of the realities of the marketplace and the account. - Ensure that expectations are correctly set/managed and HPE can deliver what has been promised. - Identify, pursue and win new sales opportunities to expand HPE's footprint and revenue within the account. - Bring experts into the account from HPE and partners as appropriate. Qualifications - Four years undergraduate or Graduate degree from an accredited university. - 15+ years of practical work experience in IT; Technology and Solutions creation and selling. Global IT or Consulting experience preferred. - Demonstrated results over an extended period of time. Requirements - Expert domain knowledge across the HPE enterprise portfolio. - Solid FSI, High Tech Manufacturing, Retail, or Services industry expertise of 5+ years. - Proven results in delivering innovative solutions to address business and IT challenges. - Can effectively position HPE solutions. - Expert knowledge of emerging industry trends. - Establish and maintain credibility with HPE's business units and account teams. - Lead the development of innovative principles and ideas. - Effectively collaborate with extended team members, partners and customers. - Provide independent judgment in developing methods, techniques and criteria for achieving objectives. - Effectively manage multi-disciplinary decisions and issues. - Regularly make timely strategic decisions. - Be the trusted advisor. Benefits - Health & Wellbeing: Comprehensive suite of benefits that supports physical, financial and emotional wellbeing. - Personal & Professional Development: Specific programs catered to helping you reach any career goals you have. - Unconditional Inclusion: We celebrate individual uniqueness and have the flexibility to manage work and personal needs.

• Operationalize the AI and innovation vision and contribute to strategy by identifying opportunities, dependencies, and sequencing of initiatives. • Lead the end-to-end implementation of AI platforms, standards and governance, driving adoption and ensuring consistent application of responsible AI practices. • Identify, prioritize, and lead high‑impact AI and advanced analytics use cases, moving initiatives from concept and experimentation into production and adoption. • Partner with cross-functional business and technology stakeholders to embed AI into core processes, decision‑making, and products. • Manage day-to-day execution of AI and analytics teams, assigning work, overseeing technical quality, and ensuring consistent, high-quality delivery outcomes. • Develop AI capability by mentoring practitioners, promoting best practices, and improve AI literacy across both technical teams and business partners. • Evaluate and pilot emerging AI tools and technologies, identifying opportunities to improve solution scalability, performance, and business impact.