Artificial Intelligence Engineer

Insight Global; Concord (CA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Insight Global is hiring an AI Architect/Engineer in Concord, CA to design and build the company’s AI strategy, architecture, and product roadmap from the ground up. With 15+ years of fundraising data and no prior AI team, you will create intelligent solutions for fundraising campaigns, ticketing, sponsorships, advertising, donor engagement, and insights.

The role is highly technical, consisting of ~70% hands-on development and ~30% architecture/strategy, and starts onsite with plans to move

Qualifications

• 7+ years of software engineering experience.
• Experience shipping AI/LLM-powered products used by real customers.
• Strong experience with Retrieval Augmented Generation (RAG).
• Experience building AI solutions using OpenAI, Anthropic, or similar model APIs.
• Experience building data pipelines and data-driven applications.
• Hands‑on experience with AWS cloud services.
• Knowledge of AI agents, prompt engineering, and workflow automation.
• Experience working with large, proprietary datasets.
• Ability to design, develop, and deploy solutions end‑to‑end.

Responsibilities

• Architect and build the company's AI strategy and technical foundation.
• Develop AI-powered fundraising assistants and campaign creation tools.
• Design and implement customer-facing and internal AI chatbots/copilots.
• Build RAG solutions leveraging 15+ years of fundraising and customer data.
• Develop AI agents and automated workflow solutions.
• Design scalable data pipelines and AI-ready data architectures.
• Establish evaluation frameworks, governance standards, and cost controls for AI solutions.
• Partner directly with Product and Executive leadership on AI initiatives.
• Deliver production-grade AI applications that improve customer outcomes and business efficiency.
• Create predictive analytics and recommendation engines.

Skills

Years of experience

AI/LLM products

RAG

APIs (OpenAI/Anthropic)

Data pipelines

AWS cloud

AI agents & prompts

Large datasets

End-to-end delivery

Tools

Databricks

Snowflake

Redshift

Athena

Job description

Location: Concord, CA 5 days a week ONSITE to start – will be hybrid after ramped up

Must Haves:

• 7+ years of software engineering experience building production applications
• Experience shipping AI/LLM-powered products used by real customers
• Strong experience with Retrieval Augmented Generation (RAG)
• Experience building AI solutions using OpenAI, Anthropic, or similar model APIs
• Experience building data pipelines and data-driven applications
• Hands‑on experience with AWS cloud services (GCP azure as backup)
• Knowledge of AI agents, prompt engineering, and workflow automation
• Experience working with large, proprietary datasets
• Ability to design, develop, and deploy solutions end‑to‑end

Plusses:

• Databricks or Snowflake
• Redshift and Athena
• Data Warehousing
• Predictive Analytics and Machine Learning
• SaaS Product Development
• AI Startup or AI Consulting experience

Day‑2‑Day:

A client in Concord, CA is looking for a AI Architect/ Engineer to join their team. Our client is hiring a founding AI Architect/Engineer to design and build the company's AI strategy, architecture, and product roadmap from the ground up. With over 15 years of proprietary fundraising data and no existing AI team or platform, this individual will be responsible for creating intelligent solutions that enhance fundraising campaigns, ticketing, sponsorships, advertising, donor engagement, and business insights. This is a highly technical role with approximately 70% hands‑on development and 30% architecture and strategy.

Designing everything from scratch

Responsibilities

• Architect and build the company's AI strategy and technical foundation
• Develop AI-powered fundraising assistants and campaign creation tools
• Design and implement customer‑facing and internal AI chatbots/copilots
• Build RAG solutions leveraging 15+ years of fundraising and customer data
• Develop AI agents and automated workflow solutions
• Design scalable data pipelines and AI‑ready data architectures
• Establish evaluation frameworks, governance standards, and cost controls for AI solutions
• Partner directly with Product and Executive leadership on AI initiatives
• Deliver production‑grade AI applications that improve customer outcomes and business efficiency
• Create predictive analytics and recommendation engines