AI Solutions Engineer

About the Position

AI Solutions Engineer

We don’t simply hire employees. We invest in them. When you work at Chatham, we empower you – offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day.

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.

Responsibilities

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

Requirements

• 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

Nice to Have

• 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

We Offer

• Professional development opportunities
• Collaborative work environment
• Opportunity to work on complex projects

About the Company

Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in‑depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries – handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, visit chathamfinancial.com.

Chatham Financial is an equal opportunity employer.