8+ years in software engineering or solution architecture, with 3+ years in Generative AI solutions.
2-3+ years architecting multi-agent AI solutions and workflows.
2-3+ years designing Agent-to-Agent (A2A) communication architectures.
Strong expertise in Python, LLMs, RAG, and AI application architectures.
Experience with foundation models like OpenAI GPT and Claude.
Proficient in deploying AI solutions on Azure, AWS, or GCP.
Familiar with cloud-native AI services such as Azure AI Services and AWS Bedrock.
Responsibilities
Lead the design and implementation of enterprise-scale Generative AI solutions.
Create scalable AI application architectures using LLMs and RAG.
Architect autonomous multi-agent workflows and communication patterns.
Collaborate with clients to align AI solutions with business objectives.
Design AI solutions using cloud-native technologies across major platforms.
Maintain technical documentation, including architecture diagrams and implementation roadmaps.
Oversee integrations between AI platforms and enterprise applications.
Benefits
Flexible work options
401(k) with 150% match up to 6%
Employee Share Ownership Plan
Comprehensive medical, dental, and vision insurance
100% company-paid mobile phone plan
3 weeks PTO plus 7 paid holidays
Paid parental leave
Tuition reimbursement up to $5,250
Access to 20,000+ online courses
Career planning and coaching support
Counseling and support for overall well-being
Full Job Description
Details
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.
Life at Sogeti - Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
Disaster Relief Programs
About Sogeti USA
Sogeti USA is a technology consulting firm that provides a range of services including application development, testing, and infrastructure management. The company is a subsidiary of Capgemini, a global consulting firm headquartered in Paris, France. Sogeti USA has a strong presence in the United States with over 20 offices across the country. The company has a focus on digital transformation and helping clients leverage emerging technologies to drive business value.
