AI Solutions Engineer

Chatham Financial; New York (NY); Hybrid; USD 200,000 - 275,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

401(k)

Employee Assistance Program (EAP)

Paid holidays

Paid time off

Job summary

Chatham Financial is seeking an AI Solutions Engineer to design, build, and deploy custom AI solutions that address high-value business workflows. This hybrid technologist and trusted advisor role requires working closely with stakeholders to understand challenges and deliver AI-powered value from discovery through production.

You will own end-to-end delivery, write production Python code, and integrate LLMs across systems.

Qualifications

• 7+ years of software engineering experience, ideally with client-facing or consulting exposure.
• Strong Python skills; 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 CS/Engineering/Math or equivalent.
• Experience in financial services, private equity, or real estate.
• Background at a startup (early engineer) or consulting firm.
• Experience with data pipelines and messy enterprise data.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with vector databases and semantic search.

Responsibilities

• Design, build, and deploy custom AI solutions for workflows.
• Engage clients to identify AI opportunities and scope solutions.
• Architect end-to-end AI systems with data ingestion to UI.
• Develop production-grade Python and web components.
• Prototype rapidly and validate with real data and users.
• Ensure security, reliability, and maintainability in production.

Skills

Python programming

TypeScript/JavaScript

LLMs / RAG / prompts

AI software development

Client-facing / consulting

Clear communication

Ambiguity handling

Education

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

Tools

AWS

Azure

GCP

Vector databases

ETL/data pipelines

OpenAI / Anthropic integrations

Job description

Job Description

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

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, 401(k), EAP, paid holidays and paid time off.