• Lead AI Engineer

    ManpowerGroup (Chicago, IL)


    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.

     

    ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.