GenAI Architect

Capgemini; Denver (CO); On-site; USD 155,000 - 190,000; Full time

Benefits offered by this job

401(k) match

Medical insurance

Life Insurance

Tuition reimbursement

Paid time off

Job summary

Sogeti is seeking a Principal GenAI Architect to drive enterprise-scale Generative AI initiatives. You will define strategy, design scalable architectures, and implement autonomous multi-agent workflows across Azure, AWS, and GCP with OpenAI, Claude, and other LLMs.

You will partner with clients and stakeholders to align AI outcomes with business goals. The role demands 8+ years in software or solution architecture, 3+ years in enterprise GenAI delivery, and deep expertise in cloud-native AI and

Qualifications

• Proven experience designing enterprise Generative AI solutions.
• Hands-on with multi-agent architectures and A2A patterns.
• Strong cloud-native AI design across Azure, AWS or GCP.

Responsibilities

• Lead architecture, design, and implementation of enterprise GenAI solutions.
• Create HLDs/LLDs, diagrams, API specs and roadmaps.
• Architect autonomous multi-agent workflows and agent orchestration.
• Collaborate with clients to translate business goals into scalable AI platforms.
• Oversee integrations with enterprise apps, data stores, and cloud services.

Skills

GenAI Architecture

Agentic AI

Multi-agent systems

Python

LLMs

Cloud platforms

Azure

AWS

GCP

Stakeholder communication

Tools

Azure OpenAI

AWS Bedrock

SageMaker

Vertex AI

Databricks

Vector databases

Job description

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:

• Flexible work options
• 401(k) with 150% match up to 6%
• Employee Share Ownership Plan
• Medical, Prescription, Dental & Vision Insurance
• Life Insurance
• 100% Company-Paid Mobile Phone Plan
• 3 Weeks PTO + 7 Paid Holidays
• Paid Parental Leave
• Adoption, Surrogacy & Cryopreservation Assistance
• Subsidized Back-up Child/Elder Care & Tutoring
• Career Planning & Coaching
• $5,250 Tuition Reimbursement & 20,000+ Online Courses
• Employee Resource Groups
• Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
• Disaster Relief Programs

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

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.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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 base salary range for the tagged location is $155,000 - $190,000.

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.

Sogeti 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.