# AI Application Engineer, EMEA at Seeq

Seeq is hiring an AI Application Engineer, EMEA for a remote role open to applicants in United Kingdom. Level rates it Works on AI ●●●○; you can [apply on Seeq](https://jobsbylevel.com/go/57b13ad0-b840-4686-a3c2-07ad52155134?utm_medium=ai-agent).

AI Level 3, AI centrality 71 out of 100. Remote (United Kingdom).

## Details

- Company: [Seeq](https://jobsbylevel.com/companies/seeq)
- AI level: AI Level 3 (score 71 out of 100)
- Location: Remote (United Kingdom)
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/57b13ad0-b840-4686-a3c2-07ad52155134?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=ai-application-engineer-emea-at-seeq-df06de

## Prepare for this job

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## 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. Seeq builds advanced analytics and decision intelligence software for industrial process data and operates as a remote-first company with a strong culture of collaboration and iteration. Requirements The essential functions include, but are not limited to, the following: Design and Build Agentic AI Solutions · 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). Software Engineering and Architecture · 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 industrial scale. Collaborate Cross-Functionally · 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. Enable Customers and Partners · Create enablement kits

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Source: https://jobsbylevel.com/jobs/ai-application-engineer-emea-at-seeq-df06de

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