Managing Delivery Architect - AI Architect

Managing Delivery Architect - AI Architect-079932 Description About the job you’re considering We’re seeking a visionary AI Architect to lead the development, deployment, and scaling of cutting-edge AI and agentic systems across business operations. This role combines deep technical expertise with strategic leadership to drive innovation in generative AI, autonomous agents, and analytics at enterprise scale. You’ll partner across industries to develop go-to-market strategies and deliver impactful AI solutions. Your role AI System Development & Integration Design, develop and implement AI driven solutions (Analytics, ML, NLP, computer vision, Gen AI, Agents etc.) within an organizational context. Develop secure, scalable AI applications using cloud services (AWS, Azure, GCP), big data tools (Databricks, PySpark), and CI / CD pipelines. Build and orchestrate agentic workflows using frameworks like LangChain, Crew AI, and Semantic Kernel. Lead deployment and monitoring of AI models in production with support from DevOps and IT. Architecture, Delivery & Innovation Leadership Architect custom AI solutions using modern AI tooling, APIs, data infrastructure, and runtime components. Lead cross-functional teams in aligning AI solutions with business goals and client needs. Drive innovation through research, integration of emerging AI techniques, and development of private GenAI tools. Serve as a technical and strategic advisor to clients and internal leaders. Develop and lead AI service offerings within industry sectors, partnering with market unit leaders. Experience in leading large scale and complex data analytics, AI engagements Lead pitches, demos, and proposals for Analytics, ML, GenAI, and Agentic AI initiatives. Act as a thought leader, staying ahead of trends and evangelizing advanced AI capabilities. Mentor junior engineers and data scientists; guide team strategy, operations, and growth. Foster a collaborative environment for experimentation, learning, and execution. Your skills and experience 15+ years of experience in AI, analytics, and enterprise software engineering. A master’s degree in a STEM oriented field like Science, Technology, Engineering, and Mathematics fields, or a field that has a strong analytical component. Proven leadership in developing and scaling Agentic systems, GenAI models, and Machine Learning services. Expertise in Python and SQL and libraries like Scikit Learn, LangChain, and modern agentic frameworks. Deep knowledge of cloud platforms (AWS, Azure, GCP), data engineering, and deployment tools (Docker, DevOps, Kubernetes). Experience in client-facing roles, thought leadership, and building scalable analytics practices." Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer : Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child / elder care and tutoring Mentoring, coaching and learning programs

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