Forward Deployed Engineer
Deploy and integrate Mattermost in classified defense/intelligence environments. Build plugins, automations, and AI capabilities while working directly with mission operators. Travel ~1 week/month required.
AI Applications Engineer
Designs, builds, and delivers production-grade agentic AI solutions on the Seeq platform. Leads end-to-end implementations from use case discovery through Python-based agent development, integrating with industrial systems and enterprise tools.
165k – 185kUnited StatesSolutions ArchitectureRemote5+ YOE
About the role
Responsibilities
Design and Build Agentic AI Solutions
- Author scalable AI agents 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
Requirements
- Production-quality Python development experience
- Experience building and deploying AI agents and agentic workflows
- REST/HTTPS API development and consumption
- Experience with enterprise data systems and integrations (SQL, data lakes/warehouses, Databricks, Azure ML, AWS Lambda)
- Prompt engineering and agent instruction design experience
- Version control, code review, testing, and CI/CD practices
Nice-to-Haves
- Experience with industrial software (historian, CMMS, APM, OPC UA, AVEVA PI)
- Experience with Microsoft Copilot, Power BI, Microsoft 365/SharePoint integrations
- Experience with Snowflake
Compensation & Benefits
- $165,000 - $185,000 USD base salary
- Competitive salary plus bonus
- 12-week paid family leave
- Unlimited PTO
- Internet and mobile phone reimbursements
- Medical benefits
- Group term life insurance
- Short-term and long-term disability insurance
- Voluntary vision and dental (ortho)
- Vacation bonus program
- Employee Assistance Program
- Generous home office allowance
Skills
PythonREST APIsAI AgentsPrompt EngineeringCI/CDSQLDatabricksAzure MlAWS LambdaVersion Control
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