Senior AWS AI Platform Engineer
Cognizant, Florida, NY, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr