Principal GenAI Architect

About the Job

Sogeti is seeking an experienced Principal GenAI Architect to lead the strategy, architecture, design, and implementation of enterprise-scale Generative AI solutions for our clients. The ideal candidate brings deep expertise in Generative AI, Agentic AI, multi-agent architectures, and Agent-to-Agent (A2A) communication , along with strong experience designing cloud-native AI solutions utilizing modern Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, and enterprise AI platforms across Azure, AWS, and GCP.

What You Will Do at Sogeti

• Lead the architecture, design, and implementation of enterprise-scale Generative AI, Agentic AI, multi-agent, and Agent-to-Agent (A2A) solutions that address complex business challenges.
• Design scalable AI application architectures utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, semantic search, and modern AI orchestration frameworks.
• Architect and implement autonomous multi-agent workflows, intelligent agent orchestration, and Agent-to-Agent communication patterns across enterprise environments.
• Partner with clients and business stakeholders to translate strategic business objectives into scalable, secure, and enterprise-ready AI solutions.
• Design and implement AI solutions utilizing cloud-native technologies across Microsoft Azure, AWS, and GCP , including services such as Azure OpenAI, Azure AI Services, AWS Bedrock, Amazon SageMaker, Vertex AI, Databricks , and related AI platforms.
• Create and maintain High-Level Designs (HLDs), Low-Level Designs (LLDs), architecture diagrams, API specifications, technical documentation, and implementation roadmaps.
• Design and oversee integrations between AI platforms and enterprise applications, cloud services, APIs, databases, and third-party systems.

What You Will Bring:

• 8+ years of experience in software engineering, solution architecture, or technical leadership, including 3+ years of hands-on experience designing, developing, and implementing enterprise Generative AI solutions.
• 2–3+ years of experience architecting and implementing multi-agent AI solutions , including designing autonomous agent workflows, orchestration frameworks, and enterprise-scale Agentic AI architectures.
• 2–3+ years of experience designing Agent-to-Agent (A2A) communication architectures , enabling intelligent collaboration, coordination, and orchestration between autonomous AI agents within enterprise environments.
• Strong hands-on expertise with Python , Large Language Models (LLMs) , Retrieval-Augmented Generation (RAG) , AI Agents, Agentic AI, prompt engineering, and modern AI application architectures.
• Experience developing AI-powered applications using leading foundation models such as OpenAI GPT , Claude , and other commercial or open-source LLMs.
• Experience designing and deploying scalable AI solutions across one or more major cloud platforms, including Microsoft Azure , Amazon Web Services (AWS) , and/or Google Cloud Platform (GCP) .
• Experience leveraging cloud-native AI services such as Azure AI Services , Azure OpenAI , AWS Bedrock , Amazon SageMaker , Vertex AI , Databricks, Azure Functions, Azure Blob Storage, or similar technologies.
• Strong understanding of Machine Learning concepts, model deployment, vector databases, semantic search, and enterprise AI application architecture.

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best | www.sogeti.us

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $165,000 - $200,000.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.