Lead AI/ML Engineer - R01572495

• Posted 1 day ago • Updated 3 hours ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Decision-making
  • Scalability
  • Collaboration
  • Semantics
  • LangChain
  • Autogen
  • Application Development
  • Prompt Engineering
  • Search Technologies
  • Microsoft Office
  • Microsoft SharePoint
  • Dynamics
  • Python
  • PyTorch
  • Keras
  • Workflow
  • Orchestration
  • Evaluation
  • Kubernetes
  • Storage
  • RStudio
  • SPSS
  • Statistical Models
  • Microservices
  • Computer Science
  • Mathematics
  • Data Science
  • TensorFlow
  • Amazon Web Services
  • Machine Learning (ML)
  • Microsoft
  • Microsoft Azure
  • Artificial Intelligence
  • Statistics
  • SAS

Summary

Lead AI/ML Engineer
Job requirements
    Experience Range: With at least 4 to 6 years of experience designing, building, and operationalizing enterprise-scale AI platforms, including hands-on expertise in agentic AI, LLMs, and Azure-based solutions. Key Responsibilities:
  • Design, build, and deploy AI agents and multi-agent systems using Azure AI services, Azure OpenAI, and modern agentic frameworks such as Semantic Kernel, LangChain, LangGraph, and AutoGen.
  • Develop and operationalize agentic workflows for business functions, integrating AI solutions with Microsoft 365, Teams, SharePoint, Dynamics 365, Power Platform, and enterprise APIs.
  • Implement enterprise RAG solutions utilizing Azure AI Search, vector search, hybrid search, and semantic ranking to enhance knowledge retrieval and business decision-making.
  • Build production-ready AI applications leveraging LLMs, RAG pipelines, tool/function calling, memory systems, and workflow orchestration for scalable, secure, and reliable enterprise deployment.
  • Establish observability, guardrails, responsible AI controls, evaluation, security, and monitoring for AI applications in production environments.
  • Optimize agent and LLM applications for latency, accuracy, reliability, scalability, security, and cost, applying advanced techniques and metrics.
  • Collaborate with cross-functional teams to identify AI opportunities, rapidly prototype solutions, and iterate based on user feedback.
  • Contribute to internal best practices around agent architecture, prompting, RAG, model selection, evaluation, and AI engineering standards.

  • Required Skills:
  • Hands-on experience with Azure AI services, Azure OpenAI, and Azure AI Foundry
  • Expertise in agentic frameworks (Semantic Kernel, LangChain, LangGraph, AutoGen)
  • LLM application development and prompt engineering
  • Enterprise RAG architectures and vector search technologies
  • Integration with Microsoft 365, Teams, SharePoint, Dynamics 365, Power Platform, and APIs
  • Python programming for AI/ML solutions
  • ML frameworks (TensorFlow, PyTorch, Sci-Kit Learn, Keras)
  • AI workflow orchestration tools (KubeFlow, BentoML)
  • Model evaluation and observability tools (Evidently AI, Great Expectations)
  • AI security and governance on Azure

  • Preferred Skills:
  • Experience with Azure Functions, Azure Container Apps, Azure Kubernetes Service (AKS), and Azure Storage
  • Proficiency in R and R Studio for statistical computing
  • Knowledge of SAS or SPSS for advanced statistical modeling
  • Familiarity with microservices, event-driven architectures, and enterprise integrations
  • Expertise in developing reusable agent frameworks, prompt libraries, and deployment patterns

  • Desired Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline
  • Certification in Machine Learning or Data Science from a recognized institution (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate)
  • Certification in statistical analysis tools or platforms (e.g., SAS Certified Statistical Business Analyst)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90672149
  • Position Id: 8b4b60cd3df329121f2dc756160600bf
  • Posted 1 day ago
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