AI Solutions Engineer

Chatham Financial; Kennett Square (Chester County); Hybrid; USD 200,000 - 275,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

401k

EAP

Paid holidays and paid time off

Job summary

Chatham Financial is seeking an AI Solutions Engineer to design, build, and deploy AI-powered solutions that improve high-value business workflows. You will partner with stakeholders, own problems end-to-end, and deliver tangible value from discovery through production.

This hybrid role blends deep technical work with client-facing advisory responsibilities. You’ll work with private equity, real estate, and capital markets clients, leveraging LLMs, data pipelines, and modern web tech to create

Qualifications

• 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.
• 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.

Responsibilities

• Engage with private equity firms, real estate investors, and capital markets clients to identify AI opportunities.
• Lead discovery conversations to scope solutions and present recommendations to technical and executive stakeholders.
• Architect custom AI solutions: workflow automation, data extraction, reporting, and AI agents.
• Write production code in Python and modern web frameworks; integrate LLMs.
• Build RAG systems, agentic workflows, and AI applications; own full stack from data ingestion to UI.
• Create rapid prototypes and validate value with real users and data; iterate based on feedback.
• Take solutions from prototype to production; ensure reliability, security, and maintainability.

Skills

Python

TypeScript/JavaScript

LLMs

Prompt engineering

Communication

Education

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

Tools

Data pipelines

ETL

Cloud platforms (AWS, Azure, GCP)

Vector databases

Job description

Job Description:

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.

Overview:

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

• For New York based candidates, the compensation range for the position is expected to be between $200,000 and $275,000 annually.

• Total compensation, including base pay, discretionary individual bonus and company bonus, may be higher than range listed, depending on applicant's skills, qualifications, and experience.

• Benefits include health insurance, life and disability insurance, 401k, EAP, paid holidays and paid time off.

About Chatham Financial:

Chatham Financial is the leading independent capital markets advisor, delivering an integrated blend of expert advice and powerful technology to help you reduce risk and seize opportunity. With decades of capital markets strategy, execution, monitoring, and performance expertise, we serve as an unwavering advocate for your best interests and your innovation partner. Our technology platform unifies data across assets, debt, and derivatives, giving you unmatched agility, transparency, and insight.

Its clear ahead.

Our commitment is to carry that light forward in every partnership, every solution, and every market we serve.

We help guide the way-giving clients the insight and momentum to move forward with confidence, no matter what lies ahead.