Sr AI Engineer

Insight Global; Columbus (OH); On-site; USD 150,000 - 190,000; Full time

Job summary

Insight Global seeks a Senior AI Engineer to deliver production-ready AI agents on Google Cloud Platform, driving commercial operations with scalable AI-driven solutions. The role emphasizes hands‑on development, integrations, prompt engineering, and event‑driven flows, in a fast-paced, regulated environment.

Collaborate with governance, architecture, and cloud teams to ensure secure, compliant solutions and rapid translation of ideas into reusable components.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 8–12+ years of software engineering experience using Java or Python.
• Strong full-stack development experience (API, backend, UI).
• Experience with Kubernetes, cloud deployments, and DevOps.
• Hands-on experience building AI-enabled applications.
• Experience building integrations for AI enablement and prompt engineering.
• Strong experience with GCP (Google Cloud Platform).
• Vertex AI, Cloud Run.
• Proven ability to build scalable APIs and integrations.
• Prior Banking experience.
• Any related certifications.

Responsibilities

• Build AI-enabled applications, APIs, and automation solutions end-to-end
• Develop agent workflows, prompt patterns, and evaluation frameworks
• Create prototypes and reusable components
• Design scalable backend services, APIs, and integrations
• Implement event-driven solutions and CI/CD pipelines
• Integrate with enterprise systems and ensure secure coding practices
• Collaborate to deliver high-quality innovation solutions

Skills

Java

Python

Full-stack development

Prompt engineering

AI-enabled applications

GCP experience

Vertex AI

APIs & integrations

CI/CD

Security & compliance

Banking experience

Certifications

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

Cloud Run

Google Cloud Platform

Jenkins

Git

Job description

Job Description

A client of Insight Global is seeking a Senior AI Engineer to support their Commercial Operations initiatives by building scalable AI-driven solutions and delivering production-ready AI agents on Google Cloud Platform (GCP) by Q4.

This role focuses on hands‑on development of integrations, connectivity, prompt engineering, and event‑driven flows, with solutions deployed on GCP. It also includes establishing a scalable support model and rapidly translating ideas into reusable solutions in a fast‑paced, regulated environment. The role involves building and maintaining AI agents, leveraging prompt engineering, and collaborating with governance, innovation, architecture, and cloud teams to deliver secure, compliant, and scalable solutions.

Key Responsibilities

• Build AI-enabled applications, APIs, and automation solutions end-to-end
• Develop agent workflows, prompt patterns, and evaluation frameworks
• Create prototypes and reusable components
• Design scalable backend services, APIs, and integrations
• Implement event-driven solutions and CI/CD pipelines
• Integrate with enterprise systems and ensure secure coding practices
• Collaborate to deliver high-quality innovation solutions

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 [e-mail]. To 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

• Bachelor’s degree in Computer Science, Engineering, or related field
• 8–12+ years of software engineering experience utilizing Java or Python
• Strong full‑stack development experience (API, backend, UI)
• Experience with Kubernetes, cloud deployments, and DevOps
• Hands‑on experience building AI-enabled applications
• Need strong experience building integrations to support AI enablement and prompt engineering
• Strong experience with GCP (Google Cloud Platform)
• Vertex AI, Cloud Run
• Proven ability to build scalable APIs and integrations
• Prior Banking experience
• Any related certifications