Note: The job is a remote job and is open to candidates in USA. Growth Operators is a firm that provides finance, accounting, human resources, transaction advisory, and strategic IT services to growing companies. The Azure AI Engineer will serve as the primary technical builder of client solutions, developing and deploying AI-powered document processing, retrieval, data integration, and orchestration systems while enabling client teams to operate and support them after handoff.
Responsibilities
- Build and deploy the end-to-end order intake pipeline: document ingestion, extraction, enrichment, validation, exception handling, and posting to downstream systems
- Implement document understanding and extraction against semi-structured and unstructured order documents (PDFs, emails, scanned forms, spreadsheets) with measurable accuracy targets
- Design and build the retrieval layer, including indexing strategy, chunking, embeddings, hybrid and semantic ranking, and grounding against product catalog and customer master data
- Develop and operationalize agents and orchestration logic in Microsoft Foundry (Azure AI Foundry), including tool and function calling, prompt design, and structured output contracts
- Build the ETL and data movement layers that land raw and curated data in Azure Data Lake Storage and Blob Storage, and integrate with the client’s in-flight data warehouse
- Integrate with source and target systems (CRM, ERP, logistics, and accounting platforms) through REST APIs, vendor connectors, file-based interfaces, and message queues
- Establish evaluation and quality gates: define accuracy, precision, and exception-rate metrics for the extraction and matching steps, build test sets, and measure every release against them
- Implement observability, logging, cost monitoring, and alerting so the client’s team can operate the solution after handoff
- Build the human-in-the-loop review experience for exceptions and low-confidence extractions
- Apply security and governance controls appropriate to a client environment with an in-progress AI acceptable use policy: managed identity, private networking, secrets management, data residency, and PII handling
- Produce architecture documentation, runbooks, and knowledge transfer materials. The client’s team must be able to support this solution when the engagement ends
Skills
- 2 to 3+ years designing and shipping AI or machine learning solutions on Microsoft Azure, including at least one production deployment you personally built and supported
- Hands-on experience with Microsoft Foundry / Azure AI Foundry (or Azure OpenAI Service): model deployment, prompt engineering, function and tool calling, structured outputs, and agent orchestration
- Hands-on experience with Azure AI Search: index design, vector and hybrid search, semantic ranking, indexers and skillsets, and retrieval quality tuning
- Practical experience with Azure Data Lake Storage Gen2 and Blob Storage, including medallion or equivalent layered data organization, partitioning, and lifecycle management
- Demonstrated systems integration experience: building and consuming REST APIs, webhooks, and authentication flows (OAuth 2.0, Microsoft Entra ID), against ERP, CRM, or similar business systems
- Demonstrated ETL and data pipeline experience using Azure Data Factory, Synapse, Microsoft Fabric, or equivalent, including incremental loads, schema drift handling, and data quality checks
- Strong Python (and/or C#) development skills, with real version control, code review, and testing discipline
- Working knowledge of Azure Functions, Logic Apps, Service Bus, or Event Grid for event-driven and serverless orchestration
- Experience with document extraction using Azure Content Understanding, Azure AI Document Intelligence, or comparable OCR and form-understanding tooling
- Ability to work directly with non-technical business stakeholders, translate a messy manual process into requirements, and push back constructively when a requested approach will not hold up
- Have experience with multiple industries, M&A transactions or private equity-backed businesses
Benefits
- Health benefits, including medical, dental, and vision insurance
- 401k
- Voluntary disability insurance
- Life insurance
- Accident insurance
- Critical illness insurance
- Hospital indemnity insurance
- MN Paid Family and Medical Leave
- Paid time off programs
- Employee assistance programs
- The work is performed remotely from home
- Some flexibility regarding work schedule and location
Company Overview