engineering
Posted 5 days agoSenior Sales/Solution Engineer I
at UiPath
Bangalore, IndiaHybrid
Responsibilities
- - Lead technical discovery, solution workshops, and architecture discussions to understand customer goals, systems landscape, constraints, and success criteria.
- - Build and deliver tailored product demonstrations, industry-specific narratives, and customer-facing prototypes.
- - Mentor and enable internal technical resources through reusable assets, training, and field best practices.
Requirements
- LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works.
- This role combines customer discovery, solution design, and hands-on execution, including tailored demos, proof of concepts (POCs), reusable solution accelerators, and AI-powered workflows that demonstrate business value and technical feasibility.
- WHAT YOU'LL DO AT UIPATH - Partner with account executives and cross-functional teams to shape the technical strategy for new and expansion opportunities.
- requirements into solution architectures using the UiPath platform and adjacent technologies.
- 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.
- - Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. PREFERRED QUALIFICATIONS -
- Experience building AI agents or multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, or AutoGen. -