Senior AI Engineer / AI Solutions Architect

MLG Capital • Goerke's Corners, WI

2d • Onsite

About The Position

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 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. 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.

Requirements

• 5+ years of software engineering, cloud engineering, machine learning, AI engineering, or related experience
• Experience building and deploying production applications
• Experience working directly with business stakeholders to solve real-world problems
• Strong understanding of modern software engineering practices including CI/CD, testing, version control, and deployment automation
• Experience designing scalable cloud-based architectures
• Experience with many of the following: Azure OpenAI, Azure AI Foundry, Microsoft Copilot, Copilot Studio, Azure AI Search, RAG architectures, Agentic workflows, Machine Learning, Prompt Engineering, Model evaluation and testing, Azure Machine Learning, MCP (Model Context Protocol), Semantic Kernel, LangGraph, AutoGen, CrewAI, or similar frameworks
• Python
• C#
• TypeScript / JavaScript
• .NET
• React
• Node.js
• REST APIs
• SQL
• Data engineering and cloud platforms

Nice To Haves

• Preferred experience in several of the following: Python, C#, TypeScript / JavaScript, .NET, React, Node.js, REST APIs, SQL, Data engineering and cloud platforms
• Preferred experience with: Microsoft 365, SharePoint Online, Teams, Fabric / OneLake, Purview, Entra ID, Power Platform, Power Automate

Responsibilities

• 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
• 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
• 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
• 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
• 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

Benefits

• Consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed