[Remote] Associate Cloud AI Engineer

Note: The job is a remote job and is open to candidates in USA. Deltek is the recognized global standard for project-based businesses, delivering software and information solutions to help organizations achieve their purpose. They are seeking an Associate Cloud AI Engineer to support the design, development, and integration of AI-powered solutions within the Cloud Architecture team, focusing on intelligent automation and cloud services.

Responsibilities

• Assist in designing, developing, and deploying AI/ML solutions that integrate with cloud infrastructure and services, with a focus on Agentic AI frameworks
• Collaborate with cross-functional teams across Cloud Architecture, Engineering, and Product to identify automation opportunities and implement AI-driven workflows
• Contribute to building and maintaining AI agents that can autonomously monitor, diagnose, and remediate cloud infrastructure issues
• Develop and optimize APIs, microservices, and data pipelines that power AI capabilities within cloud environments
• Support the evaluation and integration of foundational AI models (LLMs, multi-agent systems) into existing cloud platforms and toolchains
• Participate in architectural reviews and provide input on AI solution design patterns, scalability, and reliability
• Write clean, well-documented, and testable code following software engineering best practices
• Stay current with emerging trends in Agentic AI, cloud-native technologies, and DevOps/SRE practices
• Contribute to internal knowledge sharing, documentation, and proof-of-concept demonstrations

Skills

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field
• US Citizenship is required for this position
• 1–3 years of professional experience in software development, cloud engineering, or AI/ML engineering
• Proficiency in one or more programming languages: Python, Go, Java, or TypeScript
• Foundational knowledge of cloud platforms (AWS, Azure, or OCI) including compute, networking, storage, and managed AI/ML services
• Understanding of AI/ML concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
• Strong analytical and problem-solving skills with a systems-thinking approach
• Excellent communication and collaboration skills; ability to work in cross-functional, geographically distributed teams

Benefits

• Employees have access to healthcare benefits
• A 401(k) plan and company match
• Paid vacation time and holidays
• Well-living programs
• Short-term and long-term disability coverage
• Basic life insurance
• Tuition reimbursement

Company Overview