AI Solutions Engineer

Chatham Financial

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

Posted 9/17/2026full-timeNew York City • New York • United StatesSeniorLead💰 $200,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing custom AI solutions, with a strong focus on Python programming, LLM integration, and workflow automation. Proven ability to lead client engagements, communicate complex technical concepts, and drive AI/ML projects from prototype to production.

Highest-signal resume keywords

Python ProgrammingAI/ML Project ManagementLLM IntegrationClient-Facing ExperienceData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Solution ArchitectureWorkflow AutomationData ExtractionIntelligent ReportingRAG SystemsPrompt EngineeringFine-TuningAgentic SystemsProduction Code Development

Soft Skills

Excellent CommunicationCollaboration with Non-Technical StakeholdersDecision-MakingProblem ScopingComfort with Ambiguity

Tools & Technologies

AWSAzureGCPVector DatabasesEmbeddingsSemantic SearchETL

Industry Keywords

Private EquityReal EstateFinancial ServicesCapital MarketsStartup ExperienceConsulting Experience

Tech Stack

Tools & technologies

AWSAzureETLGoogle Cloud PlatformJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Work with private equity firms, real estate investors, and capital markets clients to understand workflows and identify AI opportunities
Lead discovery conversations to uncover pain points and scope solutions
Present recommendations to technical and executive stakeholders
Architect custom AI solutions for workflow automation, data extraction, intelligent reporting, and AI agents
Evaluate LLM, traditional ML, and rule-based approaches
Design systems integrating with existing client infrastructure
Write production code using Python, modern web frameworks, and LLM integrations
Build RAG systems, agentic workflows, and custom AI applications
Own the full stack from data ingestion to user interface
Build and validate rapid prototypes with real users and data
Iterate based on feedback and measured outcomes
Take solutions from prototype to production
Ensure reliability, security, and maintainability
Support ongoing optimization and enhancement

Requirements

What you’ll need

7+ years of software engineering experience
Client-facing or consulting exposure is ideal
Strong programming skills in Python
Experience with TypeScript/JavaScript is a plus
Hands-on experience building with LLMs such as GPT and Claude
Experience with RAG, prompt engineering, fine-tuning, or agentic systems
Experience taking AI/ML projects from prototype to production
Excellent communication skills and ability to explain technical concepts to executives and collaborate with non-technical stakeholders
Comfortable with ambiguity, scoping problems, making decisions, and owning 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 or consulting firm
Experience with data pipelines, ETL, and messy enterprise data
Familiarity with AWS, Azure, or GCP
Experience with vector databases, embeddings, and semantic search

Benefits

Comp & perks

Health insurance
Life and disability insurance
401(k)
Employee Assistance Program (EAP)
Paid holidays
Paid time off
Professional development opportunities