AI Engineer

Insight Global; Sacramento (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Insight Global is seeking a Senior AI Engineer to design, build, and deploy cloud-native AI agents and workflow-driven applications in C#. You will integrate with enterprise platforms and external services while delivering secure, scalable, production-ready solutions in AWS and Azure.

The role requires hands-on experience with containerized environments (Docker, Kubernetes), AI/ML services, REST APIs, and modern CI/CD practices to optimize performance and cost for AI deployments.

Qualifications

• 5+ years of full‑time experience in electronic data processing systems study, design, and programming.
• Bachelor’s degree in an IT‑related or Engineering field; additional qualifying experience may be substituted on a year‑for‑year basis.
• 4+ years of experience designing, developing, and implementing applications in C# and containerized environments such as Docker and Kubernetes.
• 2+ years of experience working with AI/ML models, including fine‑tuning and integrating models using AWS Bedrock and Azure AI services.
• 3+ years of experience working with RESTful APIs and integrating external services into enterprise applications.
• 3+ years of experience building CI/CD pipelines for AI models using GitHub Actions and Terraform. 3+ years of experience with AI frameworks such as LangChain, MLflow, Hugging Face, or TensorFlow, plus 2+ years of Infrastructure as Code experience with Terraform or AWS CloudFormation.
• 2+ years of experience developing AI‑powered chatbots, decision‑support systems, or automation agents, along with implementing security best practices for cloud‑based AI services.
• 2+ years of experience optimizing AI models for performance and cost efficiency in AWS and Azure; prior experience supporting healthcare or government‑related AI applications is preferred.

Responsibilities

• Design, build, and deploy cloud-native AI applications in C#.
• Develop AI agents and workflow‑driven services.
• Create RESTful APIs and integrate external services.
• Implement CI/CD pipelines for AI models (GitHub Actions, Terraform).
• Deploy and manage containers with Docker and Kubernetes.
• Leverage AWS Bedrock and Azure AI services for model hosting.
• Ensure security, scalability, and cost efficiency across environments.
• Collaborate with teams across AWS/Azure environments to deliver solutions.

Skills

C#

CI/CD

REST APIs

Cloud-native design

Containerization

Team collaboration

Education

Bachelor’s degree in IT or Engineering

Tools

Docker

Kubernetes

GitHub Actions

Terraform

AWS Bedrock

Azure AI services

LangChain

MLflow

Hugging Face

TensorFlow

AWS CloudFormation

Job description

Job Description

Insight Global is seeking a Senior AI Engineer to join a critical project with one of the largest consulting and advisory firms in the world.

This role will support a cloud-native AI engineering initiative for the State of California.

The Senior AI Engineer will help design, build, and deploy AI agents and workflow-driven applications that integrate with enterprise platforms and external services.

This person should bring strong hands‑on experience across C#, containerized environments, AI/ML services, REST APIs, and modern CI/CD practices to deliver scalable, secure, and production‑ready solutions.

Design, develop, and implement cloud-native applications in C# to support AI-driven workflows and agent‑based solutions.

Build and deploy services within containerized environments such as Docker and Kubernetes.

Develop and integrate AI and ML capabilities using AWS Bedrock and Azure AI services, including model fine‑tuning and enterprise integration.

Create and maintain RESTful APIs and connect external services into broader enterprise application architectures.

Support the development of AI model deployment pipelines using GitHub Actions and Terraform.

Partner with technical teams to deliver secure, scalable, and efficient AI solutions within AWS and Azure environments.

Contribute to the design of automation agents, decision‑support capabilities, and chatbot‑style experiences where applicable.

Apply engineering best practices to optimize application and model performance, reliability, and cost efficiency.

Help establish reusable development patterns and workflows for AI solutions operating within a cloud‑native platform environment.

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] 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

5+ years of full‑time experience in electronic data processing systems study, design, and programming.

Bachelor’s degree in an IT‑related or Engineering field; additional qualifying experience may be substituted on a year‑for‑year basis.

4+ years of experience designing, developing, and implementing applications in C# and containerized environments such as Docker and Kubernetes.

2+ years of experience working with AI/ML models, including fine‑tuning and integrating models using AWS Bedrock and Azure AI services.

3+ years of experience working with RESTful APIs and integrating external services into enterprise applications.

3+ years of experience building CI/CD pipelines for AI models using GitHub Actions and Terraform. 3+ years of experience with AI frameworks such as LangChain, MLflow, Hugging Face, or TensorFlow, plus 2+ years of Infrastructure as Code experience with Terraform or AWS CloudFormation.

2+ years of experience developing AI‑powered chatbots, decision‑support systems, or automation agents, along with implementing security best practices for cloud‑based AI services.

2+ years of experience optimizing AI models for performance and cost efficiency in AWS and Azure; prior experience supporting healthcare or government‑related AI applications is preferred.