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Senior Forward Deployed Engineer

UiPath
Bellevue, USA
Full-time
Senior · 8+ years experience
Onsite
Discovered Yesterday
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Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

About the Role

UiPath is redefining enterprise automation with AI. As a Senior Forward Deployed Engineer (FDE), you’ll work directly with customers to design and deploy agentic, AI-powered workflows that transform how businesses operate.

This is a highly technical, customer-facing role for engineers who enjoy building in real-world environments. You’ll take ambiguous problems, turn them into production systems, and see your work deliver immediate, measurable impact.

If you like operating at the intersection of AI engineering, systems design, and customer impact, this role is built for you.

What You’ll Do

Build and deploy LLM-powered applications and multi-agent workflows in production environments

Design end-to-end solutions integrating APIs, enterprise systems, and data platforms

Partner directly with customers to translate business problems into scalable AI solutions

Own delivery from prototype → production → iteration

Optimize systems for performance, cost, and reliability

Contribute reusable patterns and influence product through real-world feedback

What We’re Looking For

5–8+ years of software engineering experience (including applied or customer-facing work)

Strong coding skills in Python and/or TypeScript

Hands-on experience with LLMs, prompt engineering, and production AI systems

Experience building and deploying complex, integrated systems

Ability to operate in ambiguity and move quickly from idea to production

Strong communication skills with both engineers and business stakeholders

Strong Preference

PhD or Master’s in Computer Science (or related field)

Experience with agent frameworks, orchestration systems, or distributed systems

Familiarity with LLM providers (OpenAI, Anthropic, Gemini, etc.)

Background in applied AI, machine learning, or automation platforms

Experience in startup, consulting, or forward-deployed environments

Why This Role

Build real AI systems in production — not just prototypes

Work directly with customers solving high-value, complex problems

Operate at the frontier of agentic AI + enterprise automation

Influence product direction through hands-on experience

See your work drive millions in business impact

Additional Details

Travel: ~20–30% to customer sites

Location: Bellevue preferred; exceptional remote candidates considered

#LI-MH1

Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.

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