Note: The job is a remote job and is open to candidates in USA. Planet DDS is on a mission to revolutionize dental software with modern, AI-powered technology. The Senior Automation Engineer will design and implement production-grade workflows, ensuring the effective integration of AI systems and driving measurable business outcomes.
Responsibilities
- Design, build, and scale production-grade agentic workflows on Snowflake gold data using Cortex Agents and Claude (Cowork, Code, Skills, MCP), integrating with internal systems through MCP and reusable tools
- Implement multi-agent patterns (planner/worker, delegate/reviewer) with deterministic and human-in-the-loop controls for high-risk writes back to source systems
- Own the AI execution layer end-to-end: prompt and skill architecture, orchestration, evaluation, observability, cost attribution, logging, and reusable tool creation including MCP
- Treat context engineering as a first-class discipline. Assembling the right semantic context, data definitions, examples, and tool descriptions for each agent is the single highest-leverage activity in this role, and the most common difference between agents that work and agents that hallucinate. It matters more than model choice or fine-tuning
- Configure and extend MCP connectivity as needed — primarily through the Snowflake MCP, with ancillary MCPs and orchestration tools (Azure Logic Apps, Power Automate, Snowflake Tasks) used where they are the right fit. Pick the right tool per job rather than forcing everything through one
- Instrument workflows with tracing, cost and performance dashboards, evaluation harnesses (automated and human), and drift monitoring
- Establish governance: prompt and skill versioning, action audit trails, and human-in-the-loop approval gates for high-risk writes
- Drive solutions from concept to production with documented ROI, without heavy process or handoffs
Skills
- 5-7 years of experience in software engineering or applied AI
- 2+ years building production deployments of agentic AI systems (tool-using LLMs or multi-agent workflows) with measurable business outcomes
- Demonstrated experience productionizing LLM-based systems, including structured evaluation and observability
- Proficiency in Python and building API-first services with CI/CD
- Hands-on experience with prompt engineering, context engineering, evaluation, and optimization
- Proven ability to integrate Anthropic Claude (Cowork, Code, Skills, MCP) or similar production LLM platforms into orchestrated workflows
- Experience designing and orchestrating multi-step, event-driven workflows using modern cloud-native services
- Comfortable in the Microsoft enterprise environment and/or enterprise orchestration tools outside of the Microsoft environment
- Demonstrated ability to implement guardrails, output validation, and human-in-the-loop patterns in production
- Familiarity with AI cost attribution and ROI optimization strategies
- Genuine intellectual curiosity and comfort with ambiguity. This is a foundational role in a capability that is evolving rapidly; the right candidate is energized by that, not unsettled by it, and can learn and adapt faster than any job description can anticipate
- Hands-on experience with Snowflake Cortex (Cortex Agents, Cortex Analyst, Cortex Search) strongly preferred. Snowflake-to-Claude is the core of this program; candidates with equivalent AI feature sets in another cloud ecosystem will be considered but Snowflake experience is a meaningful advantage
Benefits
- Medical, dental and vision insurance
- Health Savings Account
- Flexible Spending Accounts
- Telehealth
- 401(k) and 401(k) match
- Life and AD&D insurance
- Short-Term and Long-Term Disability
- FTO or Vacation
- Sick Time
- Employee Well-Being program
- 11 paid holidays
- Volunteer Time Off
- Employee Referral program
- Additional perk and voluntary benefit programs
Company Overview
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