AWS Agentic Ai Developer

CloudiQS part of Ik-Systems Limited; Greater London; Remote; GBP 70,000 - 110,000; Full time

Job summary

CloudiQS is seeking an AWS Agentic AI Developer for a full‑time remote role. You will design and build agentic AI SaaS, optimizing AI solutions on AWS and integrating them into client environments.

You will work with Bedrock, SageMaker and related AI/ML tools, ensuring reliability, performance and security while collaborating with cross‑functional teams. You will participate in client workshops, provide technical guidance, create documentation and runbooks, and continuously improve AI models and

Qualifications

• Strong AWS cloud skills with core services (EC2, S3, Lambda, RDS) and IAM.
• Experience with generative AI, model deployment, Bedrock or SageMaker.
• DevOps and IaC experience with CI/CD, Terraform, CloudFormation.
• Containerization experience with Docker and Kubernetes or ECS.
• Migration planning, scalable architecture design, performance optimization.
• Security and compliance awareness for AWS workloads.

Responsibilities

• Architect and implement agentic AI SaaS solutions on AWS.
• Design, build and deploy AI agents using Bedrock, SageMaker, and related tools.
• Integrate AI solutions into client environments and ensure reliability.
• Collaborate with cross‑functional teams on migrations and education workloads on AWS.
• Contribute to IaC, DevOps practices, create runbooks and documentation.
• Monitor, feedback, and iterate AI models and pipelines.

Skills

AI/ML skills

Cloud computing

Remote collaboration

Tools

Amazon Bedrock

SageMaker

CI/CD pipelines

Terraform

Docker

Kubernetes

CloudFormation

IAM

Job description

Direct Candidates Only — No Agencies or Outsourcing Vendors

Company Description

CloudiQS is an AWS Advanced Consulting Partner that helps small and medium-sized businesses and educational institutions simplify and accelerate their use of AWS technologies. Recognized as the 2024 Fastest Growing AWS Advanced Partner of the Year (UK), CloudiQS supports organizations across the UK and EMEA with cloud migration, generative AI solutions, and AWS managed services. With AWS competencies in GenAI, Migration, Microsoft Workloads, and Education, the team delivers secure, scalable, and compliant cloud architectures tailored to client needs. CloudiQS’ 18+ AWS-certified engineers focus on architecting solutions that reduce risk, optimize performance, and drive measurable business outcomes, including rapid AI agent deployment through the Agent Bakery platform.

Role Description

The AWS Agentic ai Developer role at CloudiQS is a full-time, remote position focused on designing, building, agentic ai SaaS and optimizing AI and generative AI solutions on AWS. Day-to-day responsibilities include architecting and implementing AI agents using services such as Amazon Bedrock, SageMaker, and related AWS AI/ML tools; integrating these solutions into client environments; and ensuring reliability, performance, and security.

The role involves collaborating with cross-functional teams to support cloud migrations, Microsoft workloads on AWS, and education sector solutions, as well as contributing to infrastructure-as-code and DevOps practices. The AWS AI Developer will also participate in client workshops, provide technical guidance, create documentation and runbooks, and continuously improve AI models and pipelines based on monitoring, feedback, and evolving best practices.

Qualifications

• Candidates should possess strong AWS cloud skills, including experience with core services (EC2, S3, Lambda, RDS), networking, security, and IAM.


• Candidates should possess AI and machine learning skills, such as experience with generative AI, model deployment, Amazon Bedrock, SageMaker, and AI agent development.


• Candidates should possess DevOps and infrastructure-as-code skills, such as familiarity with CI/CD pipelines, CloudFormation or Terraform, and containerization (Docker, Kubernetes or ECS).


• Candidates should possess cloud migration and architecture skills, including exposure to migration planning, designing scalable architectures, and optimizing performance and cost.


• Candidates should possess security and compliance awareness, including best practices for securing AWS workloads, data protection, and adherence to relevant standards.


• Candidates should possess strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively in a remote, distributed team.