AI Applications Engineer

Seeq Corporation

. 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).

Posted 5/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzurePythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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 an 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 (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.
Continuous Improvement
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

Comp & perks

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)

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI agent developmentREST APIsprompt engineeringsoftware engineering practicesdata integrationsolution architectureanomaly detectionCI/CDversion control

Soft Skills

collaborationmentoringcustomer enablementcross-functional partnershipcommunicationproblem-solvingfeedback gatheringiterative improvementcoachingsolution consulting