Capgemini Invent: Managing Consultant - AI Solutions Architect

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your Role
As an AI Solution Architect, you will lead the design, architecture, and delivery of enterprise AI solutions with a focus on agentic AI systems built on Azure AI Foundry. You will combine strategic architecture leadership with hands-on engineering, translating business requirements into scalable, secure, and production-ready AI solutions.
You will be responsible for the end-to-end solution architecture, including agent design, orchestration patterns, system decomposition, integration boundaries, and non-functional requirements. Working closely with product, engineering, data, and cloud teams, you will establish architecture standards, facilitate design reviews, and ensure alignment between business objectives and technical implementation.
This is a hands-on role requiring direct experience designing, developing, testing, and deploying AI agents and multi-agent workflows using Python and Azure AI Foundry. You will build prototypes, proofs of concept, and reference implementations, as well as deliver executive and technical demonstrations that showcase solution value and validate architecture decisions.
Your Skills & Experience
10+ years of experience in Solution Architecture.
2+ years of experience designing and delivering Generative AI, AI-powered, or agent-based solutions in production.
Proven experience architecting and implementing multi-agent systems, AI copilots, or agentic workflows.
Hands-on experience developing AI agents and orchestration workflows using Azure AI Foundry and Python.
Experience building end-to-end agentic solutions, including tool calling, workflow orchestration, RAG, memory management, and enterprise integrations.
Ability to translate architecture designs into working prototypes and production-ready implementations.
Proven experience creating customer-facing demos, proofs of concept (POCs), and reference implementations that demonstrate business value and technical feasibility.
Strong understanding of LLMs, prompt engineering, RAG architectures, AI evaluation frameworks, and Responsible AI principles.
Experience designing cloud-native solutions on Microsoft Azure.
Strong knowledge of APIs, microservices, integration patterns, and enterprise architecture best practices.
Experience defining non-functional requirements, including security, scalability, performance, reliability, compliance, and data residency.
Excellent communication, stakeholder management, documentation, and technical leadership skills.
Preferred
Experience delivering AI solutions in regulated or complex industries such as manufacturing, aerospace, industrial distribution, supply chain, healthcare, or financial services.
Experience with Azure OpenAI, Azure AI Search, Microsoft Fabric, Snowflake, Databricks, and enterprise data platforms.
Experience with vector databases and retrieval platforms such as Azure AI Search, Snowflake Cortex Vector Search, Pinecone, Weaviate, or pgvector.
Familiarity with Semantic Kernel, LangChain, LangGraph, AutoGen, or similar agent orchestration frameworks.
Experience with Docker, Kubernetes, GitHub, CI/CD pipelines, and modern software engineering practices.
Knowledge of Responsible AI governance, model monitoring, observability, and enterprise AI adoption frameworks.
Experience mentoring engineering teams and establishing AI architecture standards and best practices.
Azure certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent.
Key Technologies: Azure AI Foundry, Azure OpenAI, Python, Azure AI Search, Microsoft Agent framework, Azure cloud, GitHub, REST APIs, and CI/CD platforms.
The base compensation range for this role in the posted location is: $180,000-$205,000

Skills
Python, REST API, Microservices, Git, Azure, Docker, Kubernetes

Experience
10+ yrs