AWS AI Engineer

We are seeking a Full-Stack AWS AI Engineer (5+ Years) to design, build, and scale cloud-native, AI-powered applications on AWS. This role blends front-end and back-end engineering, machine learning / GenAI integration, and AWS cloud architecture, with strong emphasis on security, scalability, and production readiness. The engineer will work closely with product, data science, and platform teams to operationalize AI capabilities into real-world applications., Agentic & GenAI

• Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon SageMaker, Bedrock, Rekognition, Textract, Transcribe, Translate).

• Integrate foundation models / LLMs into applications using Bedrock or custom model endpoints.

• Build AI pipelines for inference, prompt orchestration, fine-tuning, and evaluation.

• Implement responsible AI practices including auditability, explainability, bias mitigation, and model governance.

AWSCloud Architecture & DevOps

• Architect and deploy cloud-native solutions using AWS core services:

• EC2, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, Aurora, Step Functions.

• Implement Infrastructure as Code (IaC) using CloudFormation, CDK, or Terraform.

• Design CI/CD pipelines leveraging GitHub Actions, AWS CodePipeline, or similar tools.

• Optimize performance, availability, and cost using AWS Well-Architected Framework principles.

Security, Compliance & Operations

• Enforce AWS security best practices (IAM, KMS, VPC design, encryption at rest/in transit).

• Implement monitoring, logging, and alerting using CloudWatch, X-Ray, and OpenSearch.

• Support compliance requirements (SOC2, ISO, financial services governance where applicable).

• Participate in production support, troubleshooting, and performance tuning.

• Strong experience in full-stack development (front-end + back-end).

• Hands-on expertise with AWS services and cloud-native architectures.

• Practical experience building or integrating Agentic or Generative AI solutions.

• Proficiency in at least one backend language (Python preferred).

• Experience with REST APIs, microservices, and asynchronous processing.

• Familiarity with containerization (Docker) and orchestration (ECS/EKS).

• Experience building production-grade systems, not just prototypes.

• Strong understanding of software design patterns, scalability, and resilience.

• Ability to translate business problems into technical AI solutions.

• Experience working in Agile / DevOps teams.

The base compensation range for this role in the posted location is: $100,000.00 - $130,000.00

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.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

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 (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid 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)

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.