Gen AI Leader-Architect

Sogeti is looking for a talented Gen AI Leader-Architect to join our Chicagoland team built on the success of our people and partnerships. Come be a part of our “People centric” culture!

Sogeti is a wholly-owned subsidiary of Capgemini and the Technology and Engineering Services Division of Capgemini. We have more than 25,000 professionals in 15 countries and has a strong local presence in over 100 locations scattered throughout the US, Europe and India.

We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be THE employer of choice!

POSITION HIGHLIGHTS

You would be hired as a permanent Sogeti Consultant. An expert in field who will provide guidance and experience a variety of exciting projects, work within different workplaces with diverse teams and various industries.

All Sogeti Prospective Candidates Must:

Possess a Bachelor’s and/or Master’s degree from an accredited institution.

Must have valid work authorization that does not currently and/or will not require future require sponsorship of a visa for employment authorization in the US by Sogeti-Capgemini.

JOB SUMMARY

We are seeking a GenAI Architect with deep expertise in Azure OpenAI, Hugging Face, Computer Vision and AI-driven architectures. The ideal candidate will have extensive experience in designing, developing and deploying enterprise-grade Generative AI applications, AI-driven agents and Copilot solutions within the Azure ecosystem. This role requires a strong foundation in GenAI model fine-tuning, multimodal AI, enterprise AI integration and AI accelerators, ensuring scalability, security and efficiency in AI implementations.

We are looking for a bright minded, self-motivated, team player with a strong background and skilled with a high degree of intellectual curiosity and abilities with:

Designing, developing and deploying end-to-end Generative AI applications with enterprise scalability on Azure.

Architecting and implementing Azure OpenAI, Hugging Face models and Azure AI Foundry-based solutions.

Building and integrating AI-driven agents and Copilot solutions leveraging Microsoft’s AI ecosystem.

Developing AI-powered multimodal solutions, integrating LLMs with Computer Vision using Azure AI Vision Services.

Guiding Data Scientists and ML Engineers in model deployment, monitoring and best practices within Azure AI.

Establishing MLOps frameworks, ensuring seamless model versioning, monitoring and lifecycle management on Azure ML.

Enabling enterprise-wide AI adoption by integrating AI solutions with Azure APIs, event-driven architectures and enterprise applications.

Optimizing AI model inference using Azure Machine Learning, ensuring low latency, scalability and cost efficiency in production environments.

Research and implement cutting-edge AI accelerators, vector databases (FAISS, Pinecone, Weaviate) and inference optimization strategies on Azure AI.

Required Qualifications:

Must Have:

Bachelor’s and/or Master’s degree in Computer Science, Information Systems, Information Technology (IT), Information Science and/or related field.

Azure OpenAI, Hugging Face, and Generative AI architectures.

Building AI-powered agents and Copilot solutions within Microsoft’s AI ecosystem.

Azure AI Vision Services, Computer Vision frameworks and multimodal AI.

Deploying AI models via Azure AI Foundry and Cognitive Services.

Python, PyTorch, TensorFlow, LangChain and LlamaIndex.

MLOps, vector databases (FAISS, Pinecone, Weaviate) and observability tools (MLflow, Langfuse).

Cloud AI deployments, inference scaling and GPU-optimized architectures on Azure AI.

Soft Skills & Leadership Qualities:

Strong problem-solving and analytical skills with a business-oriented mindset.

Experience in facilitating AI workshops and collaborating with cross-functional teams.

Ability to mentor and guide Data Scientists and Engineers in Azure AI best practices.

Passion for staying ahead in GenAI, AI agent development and emerging AI trends.

Preferred:

Infrastructure as Code (Terraform, Bicep), CI/CD for AI models and AI observability tools on Azure DevOps.

AI security, governance and regulatory compliance within Microsoft’s cloud ecosystem.

Full-stack AI application development using Streamlit, Flask, FastAPI or React integrated with Azure AI services.

Benefits our employees enjoy working at Sogeti USA:

401(k) Savings Plan: matched 150% up to 6%. Our 401k is in the top 1% of 401(k) plans offered in the US!

Employee Stock Option Plan

Annual Individual Bonus Plan

Medical/Prescription/Dental/Vision Insurance

Life Insurance

100% Company-paid Mobile Phone Plan

Personal Time Off (PTO)

Career Planning and Coaching Program

Continuing Education: $12,000 Annual Tuition Reimbursement plus access to over 20,000 online courses and certifications through Capgemini University, as well as Coursera and Degreed.

Paid Parental Leave

Adoption Assistance

Counseling, Employee Assistance and other Support Programs for Physical, Financial, Family & Social, Emotional & Spiritual Wellbeing

Equal Employment Opportunity

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state or local law.

Sogeti-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 Sogeti-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 this role is located in this job posting.

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 our sole discretion unless and until paid and may be modified at our sole discretion, consistent with the law.

Please be aware that Sogeti-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.

In order for you to be reviewed and receive feedback on your application, all prospective candidates must possess all requirements-qualifications (exact or comparable). If you do not receive feedback, you are welcome to reach out to me at any point for more specifics.

Paige Evans, Senior Corporate IT Recruiter | Illinois

Sogeti-Capgemini

E: paige.evans@sogeti.com