Lead the development of defenses against AI misuse, define evaluation strategies for safety weaknesses, and set technical direction for scalable mitigation techniques, ensuring responsible AI behavior in production systems.

Title: AI Engineering Manager Location: Bydgoszcz, Gdańsk, Katowice, Kraków, Lublin, Opole, Poznań, Warszawa,Poland Wrocław Work Type: Hybrid Job ID: 455978-en_US Job Description: The Opportunity As an Engineering Manager - Agentic for Neo within the Global Delivery Center, you will play a pivotal role in shaping the future of Capgemini's Group wide AI platform. Neo is a newly launched strategic initiative, and this role sits at the heart of its evolution driving the development and operationalization of next generation agentic capabilities at scale. You will lead a specialized engineering team focused on agent based systems, working closely with product, AI research, cloud, and change teams. This is a unique opportunity to combine people leadership, technical depth, and innovation to influence how autonomous and agentic systems are designed, built, and deployed across the organization. About Group IT At Group IT, we believe that difference drives change. Our vision is bold, and our mission is clear: to empower the business through technology that enables efficiency, profitability, and sustainable growth. We deliver enterprise wide solutions by harmonizing global standards and integrating all business units into a unified IT services model. As a strategic partner to the business, Group IT translates complex needs into actionable initiatives, advocating for our stakeholders across the global technological landscape. We are currently driving a series of transformative rollouts and initiatives that enhance security, streamline operations, and elevate digital experiences for every Capgemini employee around the globe. Our ambition is to build a connected, intelligent, and inclusive IT enterprise accessible to anyone, anytime, anywhere. This is your opportunity to lead change, shape the future, and build technology that matters. Your Role As Engineering Manager for Agentic capabilities within Neo, you will be responsible for both technical leadership and people management, ensuring high quality delivery while fostering innovation and engineering excellence. In this role, you will: - Lead, coach, and grow the Agentic engineering team, ensuring delivery of high quality, reliable agent based features - Own and align the design, development, and evolution of Neo's agentic platform components - Define and standardize best practices for agentic development, experimentation, and MLOps - Collaborate closely with product, AI research, cloud, and change teams to translate strategic needs into implementable solutions - Drive innovation by identifying, evaluating, and integrating emerging technologies and approaches in agentic and autonomous systems - Ensure scalability, reliability, and operational readiness of agentic capabilities deployed across the platform - Act as a key contributor to the overall technical direction and roadmap of Neo - Foster a culture of continuous improvement, experimentation, and engineering excellence Your Profile - Bachelor's or Master's degree in Computer Science, Engineering, or a related field - Proven experience leading and managing engineering teams, ideally in AI/ML, agentic systems, or platform development - Strong understanding of agentic architectures, AI/ML concepts, and model operationalization in production environments - Hands on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies such as Docker and Kubernetes - Solid technical background in Python or similar languages, with experience deploying and operating distributed systems About us The Capgemini Group is a global leader in partnering with companies to transform and manage their businesses. We do this by unleashing human energy, imagination, and ingenuity through the power of technology, with the goal of achieving an inclusive and sustainable future. We are a responsible and diverse organization of nearly 336,000+ people, present in over 50 countries. With a rich 57 year heritage and deep industry expertise, our clients trust us to address the full breadth of their business needs. We provide strategy, design, operations, and more-powered by the fast evolving world of cloud, data, AI, connectivity, software, digital engineering, and platforms. Your Career Joining Capgemini is not just about starting a new job, it is about becoming part of something bigger. We are a diverse collective of free thinkers, entrepreneurs, and experts who work together to unleash human energy, imagination, and ingenuity through technology, to build an inclusive and sustainable future. People are at the heart of everything we do. You will have the opportunity to shape your career, grow through innovative and meaningful projects, and continuously develop your skills through our extensive Learning & Development programs. Our inclusive, flexible, and supportive work environment enables you to perform at your best while maintaining a healthy work life balance. Get the future you want with Capgemini. Diversity & Inclusion At Capgemini, we don't just believe in inclusion we actively work to make it a reality. Driven by our core values and the Inclusive Futures for All campaign, we create environments where you can bring your whole self to work. We embed hybrid working and flexible arrangements into how we operate, supporting a positive work life balance for all employees. Employee wellbeing is a priority, as a healthy and engaged workforce is essential to achieving our shared ambitions.

• Lead the end-to-end AI/ML lifecycle • Define and drive the AI architecture that supports complex product requirements • Design and oversee the creation of high-fidelity AI prototypes • Set the standard for model tuning and evaluation frameworks • Partner with core engineering teams to build infrastructure and CI/CD pipelines (MLOps) • Conduct deep research into emerging AI technologies • Mentor senior and mid-level engineers

Title: Software Engineer, AI Infrastructure Location: Bay Area, San Francisco, United States Job Description: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for software engineers to help build the world's best search and assistant product for work. Our engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems. You will: - Design, build, and improve AI/ML systems and data pipelines infrastructure, including platforms that power large language model serving, routing, and orchestration at scale. - Work with and enable other engineers focused on modeling and Agentic capabilities - Build agentic systems that leverage AI to proactively monitor, diagnose, debug and maintain infrastructure health at scale across cloud deployments - Write robust code that's easy to read, maintain, and test - Mentor more junior engineers, or learn from battle-tested ones About you: - 2-5 years of experience - BA/BS in computer science, math, sciences, or a related degree - Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure (Batch processing pipelines, Serving infrastructure, LLM orchestration etc.) - Strong coding skills (Python, Go, Java) - Thrive in a customer-focused, tight-knit and cross-functional environment — being a team player and willing to take on whatever is most impactful for the company is a must - A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Location: - This role is hybrid (3-4 days a week in one of our Bay Area offices) Compensation & Benefits: The standard base salary range for this position is $175,000 - $270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID