Sogeti is looking for a talented, GenAI Lead 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
You will design AI systems from the ground up, collaborate with multidisciplinary teams to tailor AI solutions to specific business needs, and ensure these solutions are scalable and sustainable. Your expertise will help harness the power of AI to drive innovation, improve decision-making, and maintain competitive advantage. You will shape and drive the design, development, and implementation of transformative AI solutions. You will lead high-impact projects, conceptualize groundbreaking frameworks, and collaborate with cross-functional teams to deliver unparalleled AI products.
Responsibilities
Work on all aspects of enterprise scale implementation for AI/GenAI solutions including architecture, design, security, infrastructure, MLOps/GenAIOps.
Design, develop, and oversee implementation of end-to-end AI solutions and create architectural approaches for AI software and hardware integration.
Define AI solution objectives and ensure alignment with business outcomes.
Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.
Work with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases.
Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks.
Scope, manage, and drive complex GenAI projects and programs to successful completion.
Design and implement GenAI frameworks and patterns tailored to needs.
Architect and lead implementation of GenAI use cases, projects, and POCs across multiple industries.
Implement best practices for AI testing, deployment, maintenance, address challenges and deliver impactful solutions.
Conduct market research, formulate perspectives, and communicate insights to clients and stakeholders.
Monitor AI industry trends and maintain state-of-the-art industry knowledge.
Collaborate with business and IT stakeholders to understand and fulfill AI needs.
Deploy knowledge of Azure DevOps, YAML, Shell scripting, Terraform, and pipelines.
Fine-tune models, quantize models, and deploy models.
Design integrations between various cloud-based services through APIs, keeping modular designs in mind.
Apply knowledge of data engineering tools and technologies and understanding of concepts such as big data and data pipelines.
Handle data sets of varying complexity, processing massive data streams in distributed computing environments.
Apply business acumen to analyze data, develop insightful reports, and solve problems.
Perform ad hoc analyses based on evolving business needs.
Participate in analysis and resolution of issues related to information flow and data content.
Collaborate with data stakeholders to address challenges and enhance data quality.
Establish strong client relationships, gaining insights into project requirements and challenges.
Communicate complex technical concepts clearly to non-technical audiences.
Mentor junior data scientists and GenAI engineers, fostering professional growth within the team.
Conduct training sessions to enhance overall data science skills within the organization.
Qualifications
Experience architecting high-impact GenAI solutions for diverse clients including 10+ years of experience leading and participating in projects focused on one or more of the following areas: Predictive Analytics, Data Design, Generative AI, AI/ML, ML Ops.
Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
Extensive experience using Python.
Ability to demonstrate sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
Strong teamwork skills, consistently performing as a dependable team lead and member with an excellent work ethic.
Capable of maintaining a flexible "can-do" attitude and a commitment to success
Professional verbal and written communication.
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.
Pay Transparency
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: