Gen AI Architect
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location Fort Mill, SC (Day One Onsite, Hybrid)
About The Role
Design and architect an AI-enabled optimization solution that integrates with third‑party engines to automate back‑office processes, ensuring a scalable, secure, regulatory compliance and explainable AI foundation.
Key Responsibilities
Design the overall architecture for the agentic AI platform leveraging company AI assets and solution accelerators.
Define integration patterns between LLMs, specialized models, and external engines.
Establish AI governance frameworks and responsible AI controls.
Create technical specifications for agent orchestration and workflows.
Ensure solution meets security, PII, scalability, and performance requirements.
Guide the development team on AI implementation best practices.
Design explainability components for AI‑driven decisions.
Required Skills
8+ years of experience in software architecture with 3+ years in AI/ML systems.
Deep expertise in LLM integration, prompt engineering, and agent‑based architectures.
Experience with financial services applications and regulatory requirements.
Knowledge of AWS cloud architecture and AI/ML services.
Understanding of optimization algorithms and financial modeling.
Strong technical leadership and communication skills.
Technologies
AWS services : Lambda, ECS, API Gateway, S3, DynamoDB, SageMaker
LLM platforms : OpenAI GPT models, AWS Bedrock, or approved LLM platforms
Agent orchestration frameworks : LangChain, AutoGen, or similar
Infrastructure as Code : Terraform, CloudFormation
API development : REST, GraphQL
Security frameworks : AWS IAM, KMS, Secret Manager
Monitoring tools : CloudWatch, Prometheus, Grafana
Version control : GitHub Enterprise, TeamCity
Life At Capgemini
Flexible work
Healthcare including dental, vision, mental health, and well‑being programs
Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well‑being benefits like subsidized back‑up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Salary Transparency 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. The disclosed range may be modified in the future and takes into account a wide range of factors considered in compensation decisions. At 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 the tagged location is USD $110,841 to $145,000 /yearly. 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. The base compensation range for this role in the posted location is $110,841 to $145,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range.
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.
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Job Location Fort Mill, SC (Day One Onsite, Hybrid)
About The Role
Design and architect an AI-enabled optimization solution that integrates with third‑party engines to automate back‑office processes, ensuring a scalable, secure, regulatory compliance and explainable AI foundation.
Key Responsibilities
Design the overall architecture for the agentic AI platform leveraging company AI assets and solution accelerators.
Define integration patterns between LLMs, specialized models, and external engines.
Establish AI governance frameworks and responsible AI controls.
Create technical specifications for agent orchestration and workflows.
Ensure solution meets security, PII, scalability, and performance requirements.
Guide the development team on AI implementation best practices.
Design explainability components for AI‑driven decisions.
Required Skills
8+ years of experience in software architecture with 3+ years in AI/ML systems.
Deep expertise in LLM integration, prompt engineering, and agent‑based architectures.
Experience with financial services applications and regulatory requirements.
Knowledge of AWS cloud architecture and AI/ML services.
Understanding of optimization algorithms and financial modeling.
Strong technical leadership and communication skills.
Technologies
AWS services : Lambda, ECS, API Gateway, S3, DynamoDB, SageMaker
LLM platforms : OpenAI GPT models, AWS Bedrock, or approved LLM platforms
Agent orchestration frameworks : LangChain, AutoGen, or similar
Infrastructure as Code : Terraform, CloudFormation
API development : REST, GraphQL
Security frameworks : AWS IAM, KMS, Secret Manager
Monitoring tools : CloudWatch, Prometheus, Grafana
Version control : GitHub Enterprise, TeamCity
Life At Capgemini
Flexible work
Healthcare including dental, vision, mental health, and well‑being programs
Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well‑being benefits like subsidized back‑up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Salary Transparency 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. The disclosed range may be modified in the future and takes into account a wide range of factors considered in compensation decisions. At 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 the tagged location is USD $110,841 to $145,000 /yearly. 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. The base compensation range for this role in the posted location is $110,841 to $145,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range.
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.
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