Senior AI Engineer

MLG Capital • Goerke's Corners, WI

6d • Onsite

About The Position

MLG Capital is seeking a Senior AI Engineer to lead the technical design, development, and scaling of enterprise AI systems. This role is crucial for building production-grade AI systems that operate securely, governably, and at enterprise scale across various business functions. The position requires core experience with the Microsoft AI stack, focusing on building and operationalizing a secure, governed, Azure-hosted AI platform layer that supports LLM/RAG and agentic patterns, integrated with enterprise identity, data, and observability standards. The engineer will partner with various stakeholders to advance the AI roadmap from ideas to durable enterprise infrastructure.

Requirements

• 4+ years AI/software engineering experience
• 2+ years building and operating production AI / LLM systems at enterprise scale (multi-environment deployments, CI/CD, observability, and security controls)
• Strong experience deploying AI systems that handle concurrency, failure modes, observability, and scalability
• Deep understanding of modern LLMs and tradeoffs across model providers
• Advanced proficiency in Python
• Advanced proficiency in APIs
• Advanced proficiency in Cloud-native development (Azure preferred)
• Experience integrating AI with enterprise data, workflows, and systems

Nice To Haves

• Hands-on experience with Azure AI Foundry / Azure OpenAI Service (plus Azure AI Search and Azure Machine Learning as needed)
• Hands-on experience with Microsoft Fabric/ Microsoft Purview
• Hands-on experience with Microsoft Graph APIs
• Experience with agent frameworks
• Strong intuition for when not to use AI, and how to blend deterministic systems with probabilistic reasoning
• Familiarity with Vector databases and hybrid search
• Familiarity with Evaluation and tracing tools for LLM systems
• Experience operating AI in regulated or compliance-sensitive environments

Responsibilities

• Design and evolve MLG’s enterprise AI platform layer on Azure that connects models, data, tools, and permissions into a secure, scalable system of intelligence.
• Build foundational patterns for retrieval-augmented generation (RAG) and agentic workflows that enable natural-language interaction over governed enterprise data.
• Establish architectural standards for compounding AI capabilities over time.
• Partner with Data Engineering to ensure centralized, AI-ready data foundations in the Microsoft data estate.
• Implement robust retrieval, context assembly, and permission-aware access strategies.
• Design systems that blend internal performance data, historical decisions, and market intelligence into unified AI context pipelines.
• Build AI systems that move beyond automation into intelligence-assisted workflows, predictive insights, and semi-autonomous execution with human-in-the-loop controls.
• Design architectures that support progressive maturity of workflows.
• Architect and implement agent-based systems capable of multi-step reasoning, tool invocation, and coordinated execution.
• Balance agent autonomy with deterministic controls, cost ceilings, and auditability.
• Establish reusable agent frameworks.
• Embed model, context, and permission controls directly into AI system architecture.
• Partner with Compliance, Legal, and Security to ensure AI systems respect data classification, access controls, regulatory constraints, and responsible AI principles.
• Implement enterprise evaluation and monitoring frameworks using Azure-native observability.
• Support leadership in understanding AI's durable ROI.
• Ensure AI systems are observable, debuggable, and measurable as enterprise platforms.
• Operate within MLG’s hub-and-spoke AI model, acting as the central technical owner of AI frameworks.
• Partner deeply with business lines and work alongside internal teams and external partners.
• Help translate business intent into repeatable technical primitives.

Benefits

• Consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law.
• Reasonable accommodation will be made for an individual with a known physical or mental limitation unless it would require an action of significant difficult causing undue hardship.

What This Job Offers

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