Cloud Solutions Engineer: V (SME)

No sponsorship or C2C for this role

Must be a w2 employee of The Judge Group

Cloud Solutions Engineer V (AI/Cloud SME)

Location: Columbus, OH/Dallas, TX (Hybrid: 3 days onsite / 2 days remote)

Employment Type: Contract-to-Hire (3+ Months)

About the Role

We are seeking a highly skilled Cloud Solutions Engineer V (AI/Cloud SME) to support strategic Commercial Operations initiatives focused on building scalable AI solutions and accelerating enterprise adoption of Generative AI technologies.

In this role, you will design, develop, and deploy production-ready AI-enabled applications and intelligent agents on Google Cloud Platform (GCP). You will work closely with architecture, governance, cloud engineering, and innovation teams to build secure, compliant, and scalable solutions in a fast-paced, highly regulated environment.

This is a hands-on engineering role requiring expertise in AI development, cloud-native architectures, API integrations, prompt engineering, and event-driven systems.

What You'll Do

Design, develop, and deploy AI-powered applications, APIs, and automation solutions from concept to production

Build and maintain intelligent AI agents and agentic workflows

Develop prompt engineering strategies, evaluation frameworks, and reusable AI components

Create scalable backend services and enterprise integrations

Design and implement event-driven architectures using cloud-native technologies

Build and manage CI/CD pipelines to support rapid and reliable deployments

Integrate AI solutions with enterprise platforms while adhering to security and compliance requirements

Collaborate with cross-functional teams to deliver innovative business solutions

Establish scalable operational support models for AI-enabled services

Drive rapid prototyping and translate ideas into reusable production-ready solutions Required Skills & Experience

Strong experience with Prompt Engineering and AI Model Integration

Hands-on experience developing and testing Agentic AI solutions

API development, integration, and microservices architecture expertise

Cloud engineering experience with GCP (Cloud Run); Azure and AWS experience is also valued

Experience building event-driven architectures utilizing Pub/Sub or similar technologies

CI/CD pipeline design and implementation

Proficiency in one or more programming languages:

Python

Java

JavaScript Basic Qualifications

Bachelor's degree in computer science, Engineering, Information Technology, or a related technical field

8-12 years of professional software engineering experience

Proven experience designing and delivering scalable cloud-based applications Preferred Qualifications

Strong full-stack development experience (Backend, APIs, and User Interfaces)

Experience building and deploying AI-enabled applications in enterprise environments

Expertise with GCP services such as Vertex AI, Cloud Run, and related cloud-native technologies

Experience with Kubernetes, containerization, cloud deployments, and DevOps practices

Ability to work independently and thrive in fast-paced, agile environments

Excellent communication, collaboration, and stakeholder management skills Ideal Candidate

The ideal candidate is an experienced AI and cloud engineering professional who combines deep technical expertise with a passion for innovation. You have a proven track record of building scalable AI solutions, developing intelligent agents, and delivering secure cloud-native applications that create measurable business impact.

If you're excited about shaping the future of AI-driven enterprise solutions and working with cutting-edge cloud technologies, we'd love to hear from you.