Sales Engineer II

UiPath UiPath · Enterprise · Bangalore, India · Sales Support

Sales Engineer II role focused on presales technical expertise for enterprise deals, involving customer discovery, solution design, and hands-on execution of AI-powered workflows and agentic automation using LLMs, RAG, and vector databases. Requires building tailored demos, POCs, and solution accelerators to demonstrate business value and technical feasibility of the UiPath platform.

What you'd actually do

  1. Design and demonstrate AI-powered workflows and agentic automation use cases using LLMs, RAG patterns, APIs, and enterprise system integrations.
  2. Independently create end-to-end POCs, evaluation plans, and reusable solution kits that accelerate technical validation and can be scaled across the field team.
  3. Build and deliver tailored product demonstrations, industry-specific narratives, and customer-facing prototypes.
  4. Lead technical discovery, solution workshops, and architecture discussions to understand customer goals, systems landscape, constraints, and success criteria.
  5. Partner with account executives and cross-functional teams to shape the technical strategy for new and expansion opportunities.

Skills

Required

  • 4+ years of experience in technical presales, solutions engineering, consulting, automation engineering, or related customer-facing technical role.
  • 2-3+ years of hands-on experience with UiPath, RPA, AI/automation platforms, or comparable enterprise automation technologies.
  • Demonstrated ability to independently build POCs, integrations, scripts, or solution accelerators; the role requires a builder, not only an advisor.
  • Strong knowledge of UiPath platform capabilities, solution architecture, and enterprise automation design patterns.
  • Proficiency in at least one programming language such as Python, C#, or Java; Python is preferred for AI and LLM-oriented use cases.
  • Hands-on experience with APIs, enterprise application integration patterns, and solution design across cloud and/or hybrid environments.
  • Familiarity with LLM ecosystems, prompt engineering, RAG architectures, vector databases, and evaluating AI outputs for business use cases.
  • Ability to explain complex technical concepts clearly and credibly to both technical and non-technical audiences.
  • Strong customer-facing communication, presentation, and stakeholder management skills.
  • Strong ownership, problem-solving ability, and a bias for execution.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

Nice to have

  • Experience building AI agents or multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.
  • Experience supporting enterprise sales cycles, including technical qualification, demo strategy, evaluation plans, and competitive positioning.
  • Familiarity with enterprise systems such as SAP, Salesforce, ServiceNow, Microsoft, or other business-critical platforms.
  • Exposure to intelligent document processing, communications mining, and ML-enabled automation use cases.
  • Experience delivering webinars, technical workshops, and internal or customer-facing enablement sessions.
  • Working knowledge of enterprise security, governance, and responsible AI considerations in solution design.

What the JD emphasized

  • hands-on execution
  • building working solutions
  • hands-on experience
  • requires a builder
  • hands-on experience with APIs
  • Hands-on experience with LLM ecosystems
  • independent ability to build POCs

Other signals

  • AI-powered workflows
  • agentic automation
  • LLMs
  • RAG patterns
  • vector databases
  • evaluating AI outputs