Senior AI Platform Engineer

Mlg-Capital; Goerke's Corners (WI); On-site; USD 150,000 - 210,000; Full time

Job summary

MLG Capital is seeking a highly technical AI professional to help build and scale enterprise AI capabilities across Investments, Asset Management, Operations, and Technology.

The role blends software engineering, machine learning, data platforms, and product development to deliver AI solutions that drive measurable business value, with a focus on governance, security, and scalable architecture.

Qualifications

• 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.

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.

Skills

Python

C#

TypeScript / JavaScript

.NET

React

Node.js

REST APIs

SQL

Data engineering and cloud platforms

Tools

Azure OpenAI

Azure AI Foundry

Microsoft Copilot

Copilot Studio

Azure AI Search

RAG architectures

Agentic workflows

Machine Learning

Prompt Engineering

Azure Machine Learning

MCP (Model Context Protocol)

Semantic Kernel

LangGraph

AutoGen

CrewAI

Job description

MLG Capital is seeking a highly technical AI professional to help build and scale enterprise AI capabilities across Investments, Asset Management, Operations, and Technology.

The role blends software engineering, machine learning, data platforms, and product development to deliver AI solutions that drive measurable business value, with a focus on governance, security, and scalable architecture.