AI Solutions Engineer

New Yesterday

Job Description

Job Description

ESSENTIAL DUTIES / RESPONSIBILITIES:

· Architect & Build AI Solutions

  • Design, develop, and deploy generative-AI agents, RAG applications, and automation workflows on Azure (Logic Apps, OpenAI, ML, DevOps).
  • Code primarily in C#/Python; ship via CI/CD.

· ML & MLOps Enablement

  • Stand up and own pipelines (Databricks/Azure ML) for data prep, model training, telemetry, and automated re-training.
  • Instrument everything for observability and alerting.

· Integration & Data Engineering

  • Connect AI services to ERP (Epicor), SCADA/IoT feeds, and third-party APIs.
  • Build secure bridges between on-prem data, vector databases, and the cloud.

· Governance & Risk Management

  • Define usage policies, align with Purview DLP, and monitor models for bias, leakage, and performance drift.

EDUCATION, WORK EXPERIENCE, AND PROFICIENCIES:

  • Bachelor’s degree in Computer Science, Engineering, or related field – OR – equivalent hands-on experience related to these fields.
  • 3+ years full-stack software engineering with CI/CD and cloud (Azure preferred).
  • 1+ years building and deploying ML/DL or Gen-AI solutions in production.
  • Proven success in integrating AI with enterprise data (SQL/NoSQL, APIs, message queues).
  • Strong knowledge of C# and Python; comfortable with TensorFlow, PyTorch, or Hugging Face.
  • Working understanding of DevOps (Git, pipelines, IaC) and containerization (Docker/K8s).
  • Ability to untangle complex problems independently, then explain your solution in plain English to non-technical stakeholders.

PREFERRED ADDITIONAL EXPERIENCE

  • Microsoft certifications (Azure AI Engineer, DevOps Engineer, Power Platform SA).
  • Experience with vector DBs, knowledge graphs, or Copilot Studio prompt engineering.
  • Familiarity with blockchain-based integrations or decentralized compute (Solidity/EVM).
  • Exposure to manufacturing systems (MES, SCADA, industrial IoT).
Location:
Canton
Category:
Technology

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