ESSENTIAL DUTIES / RESPONSIBILITIES:

· Architect & Build AI Solutions

o Design, develop, and deploy generative-AI agents, RAG applications, and automation workflows on Azure (Logic Apps, OpenAI, ML, DevOps).

o Code primarily in C#/Python; ship via CI/CD.

· ML & MLOps Enablement

o Stand up and own pipelines (Databricks/Azure ML) for data prep, model training, telemetry, and automated re-training.

o Instrument everything for observability and alerting.

· Integration & Data Engineering

o Connect AI services to ERP (Epicor), SCADA/IoT feeds, and third-party APIs.

o Build secure bridges between on-prem data, vector databases, and the cloud.

· Governance & Risk Management

o 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 EXPIRENCE

· 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).