Senior AWS AI Platform Engineer

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } About the role As a Senior AWS AI Platform Engineer , you will make an impact by designing and delivering scalable, cloud-native, AI-powered solutions that enable intelligent, agentic workflows across enterprise platforms. You will be a valued member of a cross-functional engineering team and collaborate closely with application, data, security, and platform stakeholders to build innovative solutions using AWS-native services. In this role, you will: Build and operate scalable, production-grade APIs using AWS Lambda, Amazon ECS, and Amazon EKS Design and implement MCP Servers and end-to-end agentic solutions using AWS Bedrock AgentCore , including memory, observability, gateway, and identity components Develop and integrate agentic workflows leveraging AWS Bedrock AgentCore Integrate Amazon Connect with AI-driven and agentic backend workflows Build and manage cloud infrastructure using AWS CloudFormation and AWS CDK Design, implement, and maintain CI/CD pipelines using GitHub Actions Practice and promote spec-driven development , leveraging AI-assisted tools to accelerate design, implementation, and validation Partner with multiple engineering and platform teams to ensure solutions meet enterprise standards for security, scalability, reliability, and observability Work model We strive to provide flexibility wherever possible. Based on this role's business requirements, this position is onsite in Juniper Florida . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting and may change based on business or client requirements. We will always be clear about role expectations. What you need to have to be considered Strong hands-on experience with AWS and cloud-native architectures Experience building scalable APIs using AWS Lambda, ECS, and/or EKS Hands-on experience designing and building MCP Servers Experience delivering end-to-end solutions using AWS Bedrock AgentCore Experience integrating Amazon Connect with backend systems and workflows Experience with Infrastructure as Code , using AWS CloudFormation and AWS CDK Experience designing and maintaining CI/CD pipelines , preferably with GitHub Actions Experience working in complex, multi-team enterprise environments These will help you stand out Experience integrating Amazon Connect with Bedrock AgentCore agentic workflows Familiarity with AWS Novasonic , especially when connected to Amazon Connect Experience with AI/LLM-based platforms , agent orchestration, and observability tooling Hands-on experience with spec-driven development and AI-assisted engineering tools (such as Windsurf or SpecIt)

Benefits:

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance. Paid holidays plus Paid Time Off. 401(k) plan and contributions. Long-term/Short-term Disability. Paid Parental Leave. Employee Stock Purchase Plan.

Disclaimer:

The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. We're excited to meet people who share our passion for technology and innovation and who can make an impact in a variety of ways. Don't hesitate to apply , even if you meet most—but not all—of the requirements. We value transferable skills, diverse experiences, and fresh perspectives. This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, or any other work authorization requiring employer sponsorship.