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Job Description

What does a successful Cloud AI Engineer do?

As a Cloud AI Engineer you will design, build, and operate AI-enabled cloud platform capabilities that empower development teams across the enterprise. In this role you will combine cloud infrastructure, automation, infrastructure-as-code, containers/serverless and LLM/AI integrations to deliver reusable services, templates, tools and automated workflows. We’re looking for a curious, collaborative problem-solver who enjoys learning new technologies and working across cloud, AI and DevOps domains.

What you will do:

• Contribute to building AI/LLM-based services and platform features on public cloud

• Assist in integrating AI capabilities into cloud-native applications and platform services

• Create documentation, patterns, examples, and how-to guides · Build IaC and automation for provisioning, deploying, and scaling AI/cloud resources

• Participate in testing, code reviews, technical discussions, and AI solution strategy · Develop reusable templates, modules, and tools that other teams can adopt

• Collaborate with platform engineers, SREs, architects, and AI/ML specialists · Continuously learn and apply new AI and cloud technologies

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

What you will need to have:

• 2+ years in a cloud engineering, software engineering, or DevOps role

• Hands-on background with at least one major cloud platform (AWS/Azure preferred)

• Solid grasp of networking, security, compute, storage, and serverless technologies

• Ability to build basic infrastructure-as-code using Terraform, CDK, or CloudFormation

• Practical use of CI/CD tools for automated deployments, provisioning, and observability

• Strong problem-solving mindset and eagerness to learn AI technologies

• Exposure to AI/ML services or APIs (e.g., Bedrock, OpenAI, SageMaker)

• Programming or scripting skills in Python, TypeScript, or similar What would be great to have:

• Skilled in using AI coding tools (e.g., Claude Code, Copilot, Cursor, etc.)

• Proficiency in security concepts like threat modeling and policy as code

• Exposure to AI-powered release automation platforms (e.g., Harness, Spacelift, Opsera)

• Participation in hackathons, side projects, or open-source work

Pay rate $50-55/hr