Senior AI Engineer / AI Solutions Architect

Join MLG Capital and Help Shape the Next Generation of AI in Private Real Estate Investing

MLG Capital is seeking a highly technical and collaborative AI professional to help build and scale the firm's next-generation AI capabilities. This role sits at the intersection of software engineering, machine learning, enterprise architecture, data platforms, and AI product development.

We are not looking for someone who simply deploys models or builds isolated copilots.

We are looking for someone who can partner with business leaders, engineers, analysts, and operations teams to design, build, deploy, and operate AI solutions that create measurable business value across the organization.

The ideal candidate combines hands-on engineering skills with architectural thinking and thrives in a fast-moving environment where experimentation, discipline, security, and continuous learning matter equally.

Position Summary

As MLG Capital continues to expand its Enterprise Data, Analytics, and AI capabilities, this role will help define and build the foundation for AI-enabled workflows, intelligent applications, decision-support systems, and enterprise AI platforms.

You will work across business functions including Investments, Asset Management, Investor Relations, Operations, Marketing, and Technology to identify opportunities, prototype solutions, productionize AI systems, and establish long-term standards for responsible AI adoption.

This role requires a builder's mindset, a strong software engineering foundation, and a passion for emerging AI technologies.

What You'll Do

AI Product Development

• Design and develop AI-powered applications, agents, copilots, and decision-support systems
• Build retrieval-augmented generation (RAG) solutions leveraging enterprise data sources
• Develop and deploy agentic workflows using modern orchestration patterns
• Build reusable AI services that can be leveraged across the organization
• Evaluate emerging AI technologies and determine practical business applications

Software Engineering & Architecture

• Design, build, and maintain scalable cloud-native applications
• Develop APIs, integrations, backend services, and automation workflows
• Establish software engineering standards for AI-enabled products
• Create reusable components, development frameworks, and deployment patterns
• Contribute production-ready code across frontend, backend, and cloud environments

Machine Learning & AI Engineering

• Evaluate and implement machine learning and AI solutions across a variety of business use cases
• Assess model performance, accuracy, drift, reliability, and operational effectiveness
• Develop evaluation frameworks and testing methodologies for AI systems
• Design architectures that balance model quality, latency, security, and cost
• Stay current with advancements in LLMs, agents, reasoning models, MCP, machine learning, and enterprise AI platforms

Enterprise AI Platform Development

• Help establish MLG's long-term AI platform strategy
• Create AI capabilities that compound over time and avoid siloed point solutions
• Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Fabric, OneLake, Power Platform, Azure, and other enterprise systems
• Build governed and scalable AI infrastructure supporting multiple business functions
• Partner with business teams to identify high-value AI opportunities

Security, Governance & Responsible AI

• Design AI solutions that operate within a regulated and investor-focused environment
• Implement governance, security, monitoring, auditability, and compliance controls
• Ensure enterprise AI solutions align with organizational data policies and security requirements
• Establish best practices for responsible AI adoption and operational excellence