AI Applications Engineer

🔥 21 hours ago

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Seeq Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data.

📋 Description

• The **AI Applications Engineer** designs, builds, and delivers production-grade **agentic AI solutions** on the Seeq platform to accelerate time-to-value for process manufacturers (O&G, Chemicals, Pharma, Power, Pulp & Paper, Food & Beverage, Semiconductor, and related industries). • This role pairs the customer-facing solution engineering responsibilities of an Applications Engineer with deeper software engineering skills focused on building, extending, and operationalizing **custom AI agents that interface with Agent Q**, Seeq’s advanced agentic AI Analyst, along with **Agent Builder**, **Document Access**, and **Agent Extensibility** capabilities. • The AI Applications Engineer leads end-to-end **Seeq Intelligence implementations** — from use case discovery and solution architecture, through Python-based agent and Skill development, to enablement and lifecycle ownership. • Typical solution patterns include anomaly-to-action workflows that integrate with Industrial Software technologies (historian, CMMS, APM, etc), Microsoft Copilot integrations, AI-generated operational reporting, and customer internal documentation and SME knowledge.

🎯 Requirements

• Author scalable AI agents utilizing that extend and orchestrate **Agent Q** for repeatable, multi-step industrial workflows (e.g., AI-generated operational reports, batch deviation analysis, root cause investigations, condition-monitor-driven investigations). • Build custom AI agents outside of Seeq to interface applications in the broader industrial technology stack with Agent Q and Seeq’s AI platform. • Design and implement **Skills** and **Code Tools** in Python (Seeq Data Lab, SPy library) that give agents reliable, governed access to enterprise systems — CMMS, historians, document stores, and customer-built AI services. • Build solution components (accelerators, templates, calculators, KPIs, dashboards, condition monitors, Vantage Rooms) in **Seeq Workbench**, **Organizer**, **Vantage**, and **Data Lab** that the agent layer can act on and reason about. • Package agentic solutions for reuse with documented prompts/instructions, journals, example datasets, validation plans, and success criteria ready for partner and customer delivery. • Configure **Agent Extensibility** to wire Seeq Intelligence into customer ecosystems (CMMS, integrity tools, MES, Power BI/Teams, Microsoft Copilot, Snowflake, Databricks). • Write production-quality **Python** for agent Skills, Data Lab notebooks, scheduled/event-triggered workflows; apply modern software engineering practices (version control, code review, testing, CI/CD where applicable). • Author and consume **REST/HTTPS APIs** for third-party AI agents and enterprise systems; manage authentication patterns (SSO, delegated permissions, SAS URIs) for governed agent access. • Connect solutions to enterprise data ecosystems and downstream tools (e.g., OPC UA/OPC HDA; AVEVA PI/PI AF; SQL databases, data lakes/warehouses; Databricks; Azure ML; AWS Lambda; Power BI/Tableau; Microsoft 365 / SharePoint) following security, scalability, and performance best practices. • Apply **prompt engineering, agent instruction design, and evaluation** techniques to make agent behavior consistent, trustworthy, and reproducible at an industrial scale. • Partner with the Software Team, Industry Principals, Product Management, and Revenue Teams to align Intelligence solutions to roadmap and close capability gaps. • Support Product Marketing, Solution Consulting, and Sales with credible Intelligence demos, narratives, and GTM assets; assist targeted pre-sales engagements where agentic solution expertise is required. • Create enablement kits (deployment guides, reference architectures, agent design playbooks, sample Skills/notebooks) and mentor Seeq partners and customer champions to scale agentic delivery globally. • Coach customer subject matter experts on encoding their expert reasoning into agent instructions, journals, and custom agent workflows so institutional knowledge becomes shareable and operational. • Gather field feedback, monitor agent adoption and quality, and iterate on solution reliability, trustworthiness, and learnability; contribute reusable agent patterns into Seeq’s solution library and training content.

🏖️ Benefits

• 12-week paid Seeq family leave • Unlimited PTO • Internet and mobile phone reimbursements • Medical benefits • Group term life insurance • Short-term and long-term disability insurance pre-tax benefits • Voluntary vision and dental (ortho) • Vacation bonus program • Employee Assistance Program • Generous home office allowance • The best co-workers (we've analyzed the data, so we know it's true.) • Pet-friendly workspace (your dog will be so happy to have you home)