S
Artificial Intelligence Engineer
Sogeti
3 hours ago
Full-time
On-site
Des Moines, Iowa, United States
Own the design, development, deployment, and quality of AI agents on AWS using Amazon Bedrock foundation models and Amazon Bedrock AgentCore. This hands-on engineering role requires direct experience building and deploying agents—not solely prompt design or the use of AI coding assistants. Work with client developers to establish a reusable reference implementation, deliver a five-template agent pilot, and transfer secure, testable engineering patterns that the client can sustain.
Configure each agent archetype's instructions, context, tool definitions, orchestration, session handling, and structured result contracts; Connect agents to enterprise APIs, AWS Lambda functions, and MCP tools using AgentCore Gateway and Model Context Protocol integrations as appropriate. Build the first golden agent template as the reference implementation for the other four, including configuration, deployment automation, documentation, and reusable integration patterns. Build output verification, path and tool allowlists, schema validation, API contract tests, automated agent evaluations, and review-ready pull request structures. improve prompts, context, tools, templates, and model configuration against agreed acceptance criteria. Automate repeatable AWS deployments with infrastructure as code and CI/CD; document environment configuration, operational procedures, and rollback approaches. Pair with the client's API developer on templates 2 through 5 and transfer architecture, testing, troubleshooting, and operational knowledge.
A working golden agent template deployed to the agreed AWS environment using AgentCore Runtime and Amazon Bedrock models. Five reusable agent templates delivered with the client team, with documented configurations, tool interfaces, result contracts, and deployment instructions. An automated verification and evaluation suite, with acceptance criteria and baseline measures for task success, output quality, latency, and token consumption agreed with the client. Documented security controls, operational monitoring, troubleshooting guidance, and knowledge transfer enabling client developers to extend and maintain the agents.
5+ years building production APIs on AWS, including REST and at least one of GraphQL or event-driven architectures. ~ Demonstrated hands-on experience developing and deploying AI agents using Amazon Bedrock models and Amazon Bedrock AgentCore, including direct implementation experience with AgentCore Runtime. ~ General familiarity with Bedrock or use of coding assistants alone does not satisfy the AgentCore requirement. ~ Strong Python and/or TypeScript development skills, AWS SDK experience, and experience implementing agent orchestration and tool calling with an agent framework or custom code. ~ Practical AWS engineering skills with IAM, Lambda, API Gateway, CloudWatch, and services such as S3 or DynamoDB; ability to implement secure access and troubleshoot distributed applications. ~ Strong testing discipline: OpenAPI, unit and integration testing, contract tests, structured-output validation, and automated evaluation of agent behavior and generated code. ~ Experience with Git, pull request workflows, CI/CD, and infrastructure as code using AWS CDK, AWS CloudFormation, or Terraform. ~ Experience operating AgentCore-based agents in production, including incident troubleshooting, performance tuning, and cost optimization. Experience building MCP servers, multi-agent workflows, or agent-to-agent integrations. Built reusable templates, scaffolding, or code generators adopted by other engineering teams; measured acceptance rates and compared agent configurations. Hands-on use of Kiro, Claude Code, or similar coding agents in specification-driven or headless workflows beyond IDE autocomplete. Flexible work options ~Medical, Prescription, Dental & Vision Insurance ~ Life Insurance ~100% Company-Paid Mobile Phone Plan ~3 Weeks PTO + 7 Paid Holidays ~ Subsidized Back-up Child/Elder Care & Tutoring ~ 5,250 Tuition Reimbursement & 20,000+ Online Courses ~ Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being ~ 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.
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.
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.
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 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. 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 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.
Configure each agent archetype's instructions, context, tool definitions, orchestration, session handling, and structured result contracts; Connect agents to enterprise APIs, AWS Lambda functions, and MCP tools using AgentCore Gateway and Model Context Protocol integrations as appropriate. Build the first golden agent template as the reference implementation for the other four, including configuration, deployment automation, documentation, and reusable integration patterns. Build output verification, path and tool allowlists, schema validation, API contract tests, automated agent evaluations, and review-ready pull request structures. improve prompts, context, tools, templates, and model configuration against agreed acceptance criteria. Automate repeatable AWS deployments with infrastructure as code and CI/CD; document environment configuration, operational procedures, and rollback approaches. Pair with the client's API developer on templates 2 through 5 and transfer architecture, testing, troubleshooting, and operational knowledge.
A working golden agent template deployed to the agreed AWS environment using AgentCore Runtime and Amazon Bedrock models. Five reusable agent templates delivered with the client team, with documented configurations, tool interfaces, result contracts, and deployment instructions. An automated verification and evaluation suite, with acceptance criteria and baseline measures for task success, output quality, latency, and token consumption agreed with the client. Documented security controls, operational monitoring, troubleshooting guidance, and knowledge transfer enabling client developers to extend and maintain the agents.
5+ years building production APIs on AWS, including REST and at least one of GraphQL or event-driven architectures. ~ Demonstrated hands-on experience developing and deploying AI agents using Amazon Bedrock models and Amazon Bedrock AgentCore, including direct implementation experience with AgentCore Runtime. ~ General familiarity with Bedrock or use of coding assistants alone does not satisfy the AgentCore requirement. ~ Strong Python and/or TypeScript development skills, AWS SDK experience, and experience implementing agent orchestration and tool calling with an agent framework or custom code. ~ Practical AWS engineering skills with IAM, Lambda, API Gateway, CloudWatch, and services such as S3 or DynamoDB; ability to implement secure access and troubleshoot distributed applications. ~ Strong testing discipline: OpenAPI, unit and integration testing, contract tests, structured-output validation, and automated evaluation of agent behavior and generated code. ~ Experience with Git, pull request workflows, CI/CD, and infrastructure as code using AWS CDK, AWS CloudFormation, or Terraform. ~ Experience operating AgentCore-based agents in production, including incident troubleshooting, performance tuning, and cost optimization. Experience building MCP servers, multi-agent workflows, or agent-to-agent integrations. Built reusable templates, scaffolding, or code generators adopted by other engineering teams; measured acceptance rates and compared agent configurations. Hands-on use of Kiro, Claude Code, or similar coding agents in specification-driven or headless workflows beyond IDE autocomplete. Flexible work options ~Medical, Prescription, Dental & Vision Insurance ~ Life Insurance ~100% Company-Paid Mobile Phone Plan ~3 Weeks PTO + 7 Paid Holidays ~ Subsidized Back-up Child/Elder Care & Tutoring ~ 5,250 Tuition Reimbursement & 20,000+ Online Courses ~ Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being ~ 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.
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.
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.
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 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. 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 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.