[Remote] AI Applications Engineer

Note: The job is a remote job and is open to candidates in USA. Seeq Corporation is a remote-first company focused on providing advanced analytics and decision intelligence software for industrial process data. The AI Applications Engineer will design, build, and deliver production-grade agentic AI solutions on the Seeq platform while leading end-to-end implementations and collaborating with various teams to enhance customer experience and operational efficiency.ResponsibilitiesAuthor 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 platformDesign 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 servicesBuild 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 aboutPackage agentic solutions for reuse with documented prompts/instructions, journals, example datasets, validation plans, and success criteria ready for partner and customer deliveryConfigure 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 accessConnect 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 practicesApply prompt engineering, agent instruction design, and evaluation techniques to make agent behavior consistent, trustworthy, and reproducible at an industrial scalePartner with the Software Team, Industry Principals, Product Management, and Revenue Teams to align Intelligence solutions to roadmap and close capability gapsSupport Product Marketing, Solution Consulting, and Sales with credible Intelligence demos, narratives, and GTM assets; assist targeted pre-sales engagements where agentic solution expertise is requiredCreate enablement kits (deployment guides, reference architectures, agent design playbooks, sample Skills/notebooks) and mentor Seeq partners and customer champions to scale agentic delivery globallyCoach customer subject matter experts on encoding their expert reasoning into agent instructions, journals, and custom agent workflows so institutional knowledge becomes shareable and operationalGather 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 contentSkillsDesign, build, and deliver production-grade agentic AI solutions on the Seeq platformLead end-to-end Seeq Intelligence implementationsAuthor scalable AI agents utilizing Agent Q for repeatable, multi-step industrial workflowsBuild custom AI agents outside of Seeq to interface applications in the broader industrial technology stackDesign and implement Skills and Code Tools in Python (Seeq Data Lab, SPy library)Build solution components in Seeq Workbench, Organizer, Vantage, and Data LabPackage agentic solutions for reuse with documented prompts/instructions, journals, example datasets, validation plans, and success criteriaConfigure Agent Extensibility to wire Seeq Intelligence into customer ecosystemsWrite production-quality Python for agent Skills, Data Lab notebooks, scheduled/event-triggered workflowsAuthor and consume REST/HTTPS APIs for third-party AI agents and enterprise systemsConnect solutions to enterprise data ecosystems and downstream toolsApply prompt engineering, agent instruction design, and evaluation techniquesPartner with the Software Team, Industry Principals, Product Management, and Revenue TeamsSupport Product Marketing, Solution Consulting, and Sales with credible Intelligence demosCreate enablement kits and mentor Seeq partners and customer championsCoach customer subject matter experts on encoding their expert reasoning into agent instructionsGather field feedback, monitor agent adoption and quality, and iterate on solution reliabilityBenefits12-week paid Seeq family leaveUnlimited PTOInternet and mobile phone reimbursementsMedical benefitsGroup term life insuranceShort-term and long-term disability insurance pre-tax benefitsVoluntary vision and dental (ortho)Vacation bonus programEmployee Assistance ProgramGenerous home office allowanceThe 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)Company OverviewSeeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. It was founded in 2012, and is headquartered in Seattle, Washington, USA, with a workforce of 51-200 employees. Its website is http://seeq.com.