AI Solutions Engineer

Chatham Financial is looking for an AI Solutions Engineer to design, build, and deploy custom AI solutions that address high-value business workflows. This is a hybrid technologist and trusted advisor role. You'll work closely with stakeholders to understand operational challenges and build AI-powered solutions that create measurable value. You'll own problems end-to-end-from discovery through production.

This is a hybrid technologist and trusted advisor role. You'll embed with client teams, understand their operational challenges, and build AI-powered solutions that create measurable value. Think startup CTO meets management consultant-you'll own problems end-to-end.

What You'll Do:

Client Engagement

• Work directly with private equity firms, real estate investors, and capital markets clients to understand their workflows and identify AI opportunities

• Lead discovery conversations to uncover pain points and scope solutions

• Present recommendations to both technical and executive stakeholders

Solution Design & Architecture

• Architect custom AI solutions including workflow automation, data extraction, intelligent reporting, and AI agents

• Evaluate when to use LLMs vs. traditional ML vs. rule-based approaches

• Design systems that integrate with existing client infrastructure

Hands-On Building

• Write production code - Python, modern web frameworks, LLM integrations (OpenAI, Anthropic, etc.)

• Build RAG systems, agentic workflows, and custom AI applications

• Own the full stack from data ingestion to user interface

Rapid Prototyping

• Build working prototypes in days/weeks, not months

• Validate value quickly with real users and real data

• Iterate based on feedback and measured outcomes

Production Deployment

• Take solutions from prototype to production

• Ensure reliability, security, and maintainability

• Support ongoing optimization and enhancement

Contributors to your success:

• 7+ years of software engineering experience, ideally with client-facing or consulting exposure

• Strong programming skills in Python; experience with TypeScript/JavaScript a plus

• Hands-on experience building with LLMs (GPT, Claude, etc.) - RAG, prompt engineering, fine-tuning, or agentic systems

• Experience taking AI/ML projects from prototype to production

• Excellent communication skills - can explain technical concepts to executives and collaborate with non-technical stakeholders

• Comfortable with ambiguity - can scope problems, make decisions, and own outcomes end-to-end

• Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience

• Experience in financial services, private equity, or real estate

• Background at a startup (especially as early engineer) or consulting firm

• Experience with data pipelines, ETL, and working with messy enterprise data

• Familiarity with cloud platforms (AWS, Azure, GCP)

• Experience with vector databases, embeddings, and semantic search