AWS Agentic Ai Developer

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 software engineering skills, including proficiency in at least one programming language (e.g., Python, JavaScript/TypeScript) and experience with APIs, microservices, and integration patterns.
• 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.
• Relevant AWS certifications (e.g.,