UiPath

Engineering

SeniorForwardDeployedEngineer

Bangalore, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Forward Deployed Engineer at UiPath. Skills: AI engineering, systems design, customer impact, LLM-powered applications. Build LLM-powered applications. Deploy LLM-powered applications”

What You'll Achieve.

Deliver immediate, measurable impact; Drive millions in measurable business impact; Align delivery to measurable business outcomes

Industry & Context.

Engineering
Problems you'll solve

Take ambiguous problems; Turn problems into production systems; Solve high-value, complex problems

Eligibility Requirements

Travel: ~20–30% to customer sites

What They're Looking For.

Must Have

5–8+ years of software engineering experience, applied or customer-facing work, coding skills in Python, coding skills in TypeScript, Hands-on experience with LLMs, prompt engineering, production AI systems, Experience building and deploying complex, integrated systems, Ability to operate in ambiguity, move quickly from idea to production, communication skills with both engineers and business stakeholders, Customer-facing experience managing technical risks, Customer-facing experience managing timelines, Customer-facing experience managing tradeoffs, Customer-facing experience managing stakeholder expectations, Ability to mentor engineers, contribute to reusable assets, contribute to technical standards, contribute to delivery best practices

Nice to Have

PhD or Master’s in Computer Science or a related field, Experience with agent frameworks, Experience with orchestration systems, Experience with distributed systems, Familiarity with LLM providers such as OpenAI, Familiarity with LLM providers such as Anthropic, Familiarity with LLM providers such as Gemini, Background in applied AI, Background in machine learning, Background in automation platforms (UiPath, RPA, workflow engines), Experience in startup environments, Experience in consulting environments, Experience in forward-deployed environments, Experience with prompt management, Experience with LLM evaluation, Experience with agent observability, Experience with production support practices, Familiarity with enterprise security, Familiarity with enterprise governance, Familiarity with enterprise compliance, Familiarity with enterprise operational readiness requirements, Experience presenting technical recommendations to senior customer stakeholders, Experience presenting technical recommendations to executives, Experience contributing to reference architectures, Experience contributing to reusable delivery patterns, Experience contributing to internal technical enablement

What You'll Do.

Build LLM-powered applications

Deploy LLM-powered applications

Build multi-agent workflows

Deploy multi-agent workflows

Design end-to-end solutions

Integrate enterprise systems

Integrate data platforms

Partner with customers

Translate business problems

Create scalable AI solutions

Create scalable RPA solutions

Own delivery from prototype to production

Optimize systems for performance

Optimize systems for cost

Optimize systems for reliability

Extend platform functionality

Meet customer-specific requirements

Anticipate delivery risks

Communicate tradeoffs

Communicate timelines

Lead high-impact technical workstreams

Align delivery to business outcomes

Contribute reusable patterns

Influence product direction

Raise technical standards

Scale reusable implementation play books

Partner with Engineering

Partner with Customer Success

Translate field learnings

How You'll Work.

Team & Collaboration

Partner directly with customers; Communicate with customers; Communicate with internal stakeholders; Partner with Product; Partner with Engineering; Partner with Sales; Partner with Customer Success

Communication Scope

communication skills with both engineers and business stakeholders; Customer-facing experience managing stakeholder expectations; Experience presenting technical recommendations to senior customer stakeholders; Experience presenting technical recommendations to executives

Process & Methodology

Manage scope, Manage timelines, Manage technical risks, Manage stakeholder expectations

Full Job Description

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? Your mission 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 thrive at the intersection of AI engineering, systems design, and customer impact — this role is built for you. 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, real-world experience. - See your work drive millions in measurable business impact. WHAT YOU'LL DO AT UIPATH - 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 and RPA solutions. - Own delivery from prototype → production → iteration. - Optimize systems for performance, cost, and reliability. - Extend platform functionality using APIs, SDKs, connectors, and custom integrations to meet customer-specific requirements. - Anticipate delivery risks, manage s

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