GCP AI Engineer

Overview Choosing Capgemini means a company where you will be empowered to shape your career, be supported and inspired by a collaborative community, and reimagine what’s possible. Help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team.

This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights. Key Responsibilities Application Architecture Design, Development, & Integration: Familiarity with API architecture and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment.

Key skills include understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. AI & Machine Learning Models Development: Develop generative and predictive AI models (including NLP, computer vision, etc.). Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions.

Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions. Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. Model Deployment & Maintenance: Deploy AI models into production environments, ensuring scalability, performance, and optimization.

Monitor and troubleshoot deployed models and pipelines for optimal performance. Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Emerging Technologies: Maintain involvement with internal and external training and relevant discussions; stay at the forefront of emerging AI techniques, tools, and trends.

Collaboration & Communication: Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals. Contribute to developing and harvesting reusable assets and demos, sales pitches. Communicate complex AI concepts and results to non-technical stakeholders.

Required Skills Education: Bachelor’s or greater degree in Machine Learning, AI, or equivalent professional experience. Experience: Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift.

Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Technical Skills: Proficiency in programming languages such as Python and SQL. Proficiency in URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.

Proficiency with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Databricks, PySpark). Familiarity with AI frameworks such as LangChain and ML libraries like TensorFlow, PyTorch, and scikit-learn. Knowledge of deployment tools (e.g., Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy).

Understanding of data engineering principles, including experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis). Additional Skills: Strong problem-solving and troubleshooting skills. Familiarity with generative AI techniques, such as retrieval-augmented generation (RAG) patterns.

Experience with graph database technology is a plus (e.g., Neo4J, Ontotext). Ability to collaborate effectively across teams. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Compensation & Benefits The base compensation range for this role in the posted location is: 90,000 - 140,000. Capgemini provides compensation range information in accordance with applicable laws. The base range reflects the minimum and maximum target compensation Capgemini may pay for the role at the time of posting.

This range may change as permitted by law. The actual compensation offered may fall outside the posted range and will be determined based on multiple legally permitted factors, including geographic location, education, certifications, relevant experience, seniority, market considerations, and internal pay equity. It is not typical to be hired at or near the top of the posted range.

In addition to base salary, the role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Benefits Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (Vacation: 12-25 days, holidays, Personal Days, Sick Leave) Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation is not considered earned or payable until due under applicable plans or agreements and is subject to Capgemini’s discretion, in accordance with applicable laws.

The company may amend or withdraw compensation programs at any time within legal limits. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. We value Indigenous communities and provide reasonable accommodations during recruitment as needed.

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. Capgemini may provide reasonable accommodations during recruitment.

If you need assistance, please contact your recruiting representative. Please be aware that Capgemini may capture your image during the interview process and that image may be used for verification, including during hiring and onboarding. Click the following link for more information on your rights as an Applicant in the United States: http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and sustainable transition.

It is a diverse group of 340,000 team members in more than 50 countries, with strengths in AI, generative AI, cloud, and data, combined with deep industry expertise and a partner ecosystem. #J-18808-Ljbffr