Senior AI Engineer

Apperture Solutions is a technology-independent professional consulting and implementation services firm offering data enablement, production optimization, operations management, and related services. The Senior AI Engineer will design, build, deploy, and support secure, domain-specific AI solutions for industrial operations across edge, cloud, and hybrid environments, including agents, RAG systems, machine learning services, and workflow co-pilots.

Responsibilities:

• Lead the design and delivery of production-grade AI applications, including LLM agents, RAG systems, workflow co-pilots, and predictive or optimization services
• Translate manufacturing workflows, operating constraints, and user needs into well-scoped technical solutions in partnership with operations, engineering, OT, IT, cybersecurity, and business stakeholders
• Design agent architectures using frameworks such as LangChain or LangGraph, including supervisor-worker patterns, REST or Model Context Protocol (MCP) interfaces, governed tools, and appropriate human approval points
• Develop enterprise retrieval solutions using embeddings, vector stores, semantic search, knowledge graphs, and structured operational content such as SOPs, logs, maintenance records, and engineering documentation
• Use contemporary AI-assisted development tools to accelerate delivery, supported by evaluation datasets, test harnesses, guardrails, monitoring, and independent review of model behavior, generated code, and agent recommendations
• Design agent-ready data products that route requests appropriately across live edge data, hot time-series stores, and historical lakehouse data
• Integrate AI solutions with industrial and enterprise platforms, including OPC UA, MQTT/Sparkplug B, Unified Namespace architectures, SCADA/DCS data, Power BI, SharePoint, and custom applications
• Partner with data engineering teams on schema-versioned data contracts, contextualization, validation, and streaming integrations across Azure Event Hubs, Azure Data Explorer, Databricks/Delta Lake, and ADLS Gen2
• Package and operate solutions as secure, containerized services for cloud, edge, on-premises, or regulated deployment environments; contribute to CI/CD, observability, and operational support
• Frame ambiguous industrial problems, evaluate alternative approaches, and advance promising concepts from rapid prototype to maintainable production capability
• Document architecture, design decisions, limitations, validation evidence, data contracts, workflows, and compliance touchpoints; provide technical leadership through reviews, mentoring, and cross-team handoffs