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AI Application Engineer
Seeq Corporation. Design, build, and deliver production-grade agentic AI solutions on the Seeq platform for process manufacturers .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing agentic AI solutions on the Seeq platform, with strong proficiency in Python programming and experience in process manufacturing. Capable of leading end-to-end AI implementations, mentoring stakeholders, and ensuring solution reliability and scalability.
Highest-signal resume keywords
Python ProgrammingAI Agent DevelopmentPrompt EngineeringProcess Manufacturing ExperienceTime Series Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonREST APIsTime Series AnalyticsFeature EngineeringAnomaly DetectionKPI DesignAgent OrchestrationMulti-Step ReasoningData PackagingCode Tools
Soft Skills
Technical CommunicationMentoringCustomer EngagementCollaborationProblem Solving
Tools & Technologies
Seeq WorkbenchSeeq Data LabMicrosoft CopilotPower BIDatabricksAVEVA PIWonderwareGitCI/CDCloud Platforms
Certifications & Qualifications
Bachelor's Degree in Technical Discipline
Industry Keywords
Process ManufacturingO&GChemicalsPharmaFood & BeverageSemiconductorIndustrial WorkflowsAgentic SolutionsOT DataHistorian Platforms
Tech Stack
Tools & technologiesCloudPandasPythonSnowflake
About the role
Key responsibilities & impact- Design, build, and deliver production-grade agentic AI solutions on the Seeq platform for process manufacturers
- Lead end-to-end Seeq Intelligence implementations from use case discovery and solution architecture through Python-based agent and Skill development, enablement, and lifecycle ownership
- Author scalable AI agents extending and orchestrating Agent Q for repeatable multi-step industrial workflows
- Build custom AI agents interfacing broader industrial technology stacks with Agent Q and Seeq’s AI platform
- Design and implement Python Skills and Code Tools in Seeq Data Lab and SPy library
- Build accelerators, templates, calculators, KPIs, dashboards, condition monitors, and Vantage Rooms in Seeq Workbench, Organizer, Vantage, and Data Lab
- Package agentic solutions with documented prompts, journals, example datasets, validation plans, and success criteria
- Configure Agent Extensibility integrations with CMMS, integrity tools, MES, Power BI/Teams, Microsoft Copilot, Snowflake, and Databricks
- Write production-quality Python for agent Skills, notebooks, and scheduled or event-triggered workflows
- Author and consume REST/HTTPS APIs and manage authentication patterns including SSO, delegated permissions, and SAS URIs
- Connect solutions to enterprise data ecosystems and downstream tools following security, scalability, and performance best practices
- Apply prompt engineering, agent instruction design, and evaluation techniques
- Partner with Software, Industry Principals, Product Management, and Revenue Teams
- Support Product Marketing, Solution Consulting, and Sales with demos, narratives, GTM assets, and pre-sales engagements
- Create enablement kits and mentor partners and customer champions
- Coach customer SMEs on encoding expert reasoning into agent instructions, journals, and Custom Agent workflows
- Gather field feedback, monitor agent adoption and quality, and improve solution reliability, trustworthiness, and learnability
- Contribute reusable agent patterns to Seeq’s solution library and training content
Requirements
What you’ll need- Software development proficiency in Python, including maintainable code, packaging, REST APIs, and libraries such as Pandas
- Familiarity with modern AI/LLM tooling concepts, including prompts, tool/function calling, retrieval, evaluation, and agent orchestration
- Hands-on experience designing, building, and deploying AI agents or LLM-powered workflows
- Experience with prompt engineering, tool/skill design, and multi-step reasoning
- Process manufacturing experience in O&G, Chemicals, Pharma, Power, Pulp & Paper, Food & Beverage, Semiconductor, or related industries
- Time series analytics proficiency, including feature engineering, event/condition detection, asset segmentation, anomaly/quality logic, and KPI design
- Historian and OT data experience with platforms such as AVEVA PI, IP.21, DeltaV, Wonderware, Canary, or GE Proficy
- Hands-on Seeq skills with Workbench, Organizer, Vantage, and Data Lab
- Customer-facing delivery experience leading pilots/POCs to production
- Bachelor's degree (or higher) in a listed technical discipline or equivalent relevant experience
- Preferred: Microsoft Copilot/Copilot Studio, SharePoint, Power Platform, Microsoft Fabric, CMMS, cloud/data platforms, Git, code review, unit testing, CI/CD, containerization, observability/logging, secure credential handling
- Strong technical communication across SME, manager, and executive audiences
- Ability to work remotely across time zones
- Occasional travel to customer sites, partner locations, or events may be required, typically 20–40%
Benefits
Comp & perks- Unlimited PTO
- Internet and mobile phone reimbursements
- Vacation bonus program
- Generous home office allowance
- Pet-friendly workspace