AI Automation Engineer

What You'll Bring

• 3–5 years of hands-on software engineering or data engineering experience, with a track record of delivering production systems — not just prototypes.
• Proficiency in Python — you write clean, maintainable code, are comfortable working in data and AI engineering contexts, and actively use coding assistants (e.g., GitHub Copilot, Cursor, or similar) as part of your development workflow.
• Experience building on Databricks — specifically with AgentBricks and building custom agents on the Databricks platform. You know your way around notebooks, Delta Lake, and production-grade agent deployment.
• Demonstrated proficiency in building AI agents — you've designed, built, and shipped production agents (Glean canvas, LangChain, LlamaIndex, or similar), and you understand the engineering tradeoffs involved (retrieval, tool use, evaluation, latency, cost). This is a core expectation of the role, not a nice-to-have.
• Proficiency with agentic coding frameworks (e.g., DSPy, LangChain, CrewAI, or similar) — you've used these in production contexts, not just tutorials, and know how to evaluate the right tool for the job.
• Familiarity with agent tracing and monitoring concepts — you understand how to observe agent behavior in production (e.g., trace logs, token usage, latency, failure modes) and know why it matters for reliability and governance.
• API and integration experience — you can read API docs, build connectors, and wire systems together without hand-holding.
• Strong communication skills — you can explain technical architecture to non-technical stakeholders and write documentation people actually use.
• Collaborative and cross-functional — comfortable working across IT, data, and business teams in a fast-moving environment.

You Have an Advantage If

• You've played a hands-on technical role in top-down, enterprise AI transformation initiatives — where the work was tied to clear business outcomes, P&L targets, or measurable productivity gains, not just engineering deliverables.
• You have hands-on experience with Glean — building agents, configuring connectors, or working with the Glean API.
• You've built production-grade agentic workflows incorporating RAG, tool use, orchestration layers (LangGraph, CrewAI, custom), or multi-agent patterns.
• You have experience with Salesforce integrations or have built agents that take actions inside enterprise SaaS platforms.
• You're familiar with MLOps or LLMOps practices — model evaluation, prompt versioning, observability, and deployment pipelines.
• You have a background in data engineering and are comfortable with SQL, Delta tables, and Unity Catalog governance patterns.
• You've contributed to AI governance or responsible AI programs — specifically around agent safety, PII handling, and access control.
• You've worked in a B2B SaaS or enterprise software environment and understand how to build solutions that are supportable at scale.

Base Salary Range: $130,766 - $150,000

In accordance with Colorado's Equal Pay for Equal Work Act (SB 19-085), the approximate compensation range for this role in Colorado is listed above. Final compensation will be determined by various factors, such as knowledge, skills, and abilities.

Life at Ping:

We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day.

Here are just a few of the things that make Ping special:

• A company culture that empowers you to do your best work.
• Employee Resource Groups that create a sense of belonging for everyone.
• Regular company and team bonding events.
• Competitive benefits and perks.
• Global volunteering and community initiatives

Our Benefits:

• Generous PTO & Holiday Schedule
• Parental Leave
• Progressive Healthcare Options
• Retirement Programs
• Opportunity for Education Reimbursement
• Commuter Offset (Specific locations)

Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self.

We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.