Lead AI Engineer

ManpowerGroup Global, Inc.; Chicago (IL); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading staffing solutions company is seeking a highly skilled Lead AI Engineer with expertise in Azure AI services and RAG architectures. Responsibilities include designing and implementing AI solutions, optimizing workflows, and ensuring compliance with security guidelines. The ideal candidate has strong programming skills and experience in building scalable AI applications. Join a dynamic team focusing on innovative technologies that enhance business performance.

Qualifications

• Proven hands-on experience with Azure AI ecosystem.
• Strong proficiency in RAG architectures and vector search.
• Practical experience in building multi-agent systems.

Responsibilities

• Design and implement end-to-end AI solutions using Azure.
• Build and optimize Agentic AI workflows and pipelines.
• Collaborate with teams to integrate AI features into applications.

Skills

Hands-on experience with Azure AI ecosystem

Strong proficiency in RAG architectures

Programming skills in Python or C#

Analytical mindset

Tools

Azure OpenAI

Azure ML

Cognitive Search

Job description

Lead AI Engineer

Must be W2

Remote

Role: We are seeking a highly skilled AI Engineer with strong hands-on experience in Microsoft Azure, Agentic AI architectures, and Retrieval-Augmented Generation (RAG) solutions. This role is responsible for designing, building, and deploying scalable AI systems that accelerate business performance and enhance decision-making across the organization.

Responsibilities

• Design, develop, and implement end-to-end AI solutions leveraging Azure AI services, including Azure OpenAI, Cognitive Search, Machine Learning, and related cloud components.
• Build and optimize Agentic AI workflows, including multi-agent architectures, orchestration frameworks, and autonomous system capabilities.
• Develop RAG pipelines using vector databases, embeddings, content enrichment, and document retrieval techniques to improve relevance and model accuracy.
• Collaborate closely with data engineering, product, and architecture teams to integrate AI features into enterprise applications and platforms.
• Conduct performance optimization, model evaluation, monitoring, and quality assurance to ensure scalable and reliable AI deployments.
• Ensure solutions meet security, compliance, and governance guidelines aligned with enterprise standards.
• Stay up to date with the latest advancements in AI models, agentic systems, and Azure capabilities to proactively identify innovation opportunities.

Required Qualifications

• Proven hands-on experience with Azure AI ecosystem (Azure OpenAI, Azure ML, Cognitive Search, Azure Functions, Logic Apps).
• Strong proficiency in RAG architectures, vector search, embedding models, and LLM prompt engineering.
• Practical experience building Agentic AI workflows (multi-agent systems, decision-making pipelines, tool invocation strategies).
• Solid programming skills in Python or C# and familiarity with relevant AI/ML frameworks.
• Experience designing production-grade AI applications with an emphasis on scalability, observability, and performance.
• Strong analytical mindset with the ability to translate business needs into technical solutions.

Preferred Qualifications

• Experience with MLOps and DevOps practices on Azure.
• Knowledge of data governance, security patterns, and responsible AI principles.
• Prior experience supporting enterprise-grade digital transformation or AI modernization initiatives.