Senior Cloud & Agentic AI Engineer

Provides advanced analysis, design, development, implementation, and support of cloud-native and AI-driven solutions that enable scalable, secure, and high-performing enterprise applications. Leverages deep expertise in AWS platform engineering, automation, and modern AI frameworks to deliver innovative products and services that enhance business outcomes and user experiences.

Responsibilities:

• Designs, develops, and supports AWS-based cloud solutions using Infrastructure as Code (Terraform, CloudFormation), automation, and CI/CD pipelines.

• Builds reusable platform services, APIs, and cloud-native components that accelerate product delivery and improve operational efficiency.

• Designs and implements Agentic AI solutions using AWS Bedrock, large language models (LLMs), retrieval-augmented generation (RAG), and agent orchestration frameworks.

• Integrates AI capabilities, cloud services, and enterprise platforms to enable intelligent automation and enhanced user experiences.

• Partners with product, engineering, and business teams to identify and deliver high-value cloud and AI use cases.

• Ensures solutions meet security, governance, compliance, reliability, and performance standards.

• Participates in agile ceremonies, backlog refinement, sprint planning, and continuous delivery practices.

• Monitors applications and platforms, resolves production issues, and implements continuous improvements.

• Maintains technical documentation and contributes to engineering standards and best practices.

Qualifications:

• Undergraduate degree in Computer Science, Information Technology, Software Engineering, Data Science, or equivalent experience.

• Five or more years of experience designing and developing solutions on AWS.

• Strong knowledge of cloud architecture, infrastructure automation, CI/CD, containerization, and DevOps practices.

• Proficiency in Python, Java, or Node.js.

• Experience building Generative AI applications using AWS Bedrock, LLMs, prompt engineering, and RAG architectures.

• Experience integrating cloud and AI solutions with enterprise applications, APIs, and data platforms.

• Demonstrated experience working in Agile delivery frameworks such as Scrum or SAFe.

• Strong analytical, troubleshooting, and communication skills.

Additional Qualifications:

• AWS Certified Developer, Solutions Architect, or DevOps Engineer certification.

• Experience designing agentic AI workflows and multi-agent systems using LangGraph or similar frameworks.

• Experience with AI observability, evaluation frameworks, responsible AI practices, and governance controls.

• Experience with vector databases, knowledge retrieval systems, and advanced RAG implementations.

• Experience leveraging AWS Bedrock-hosted foundation models and AI-assisted development tools.

• Exposure to marketing technology platforms, customer engagement solutions, or digital experience ecosystems.