Senior UiPath Platform Engineer Application & Automation Enablement

Job Description: Role Focus: Primary owner of In-house utility development, AI/ML integration, and developer productivity . This role accelerates business value by building intelligent capabilities on top of stable platforms. Key Responsibilities: InHouse Utility & Backend Development (Primary) Design, build, and maintain internal utilities, APIs, and backend services using: C#/.NET /.NET Core Python (API integration, data transformation, ML utilities) Kafka Develop reusable components, automation accelerators, and shared frameworks. Build backend services supporting dashboards, command centers, monitoring, and reporting tools. Conduct design and code reviews; enforce clean coding and engineering standards. GenAI, LLM & AI Platform Engineering (Primary) Design and implement GenAI-driven workflows and decision pipelines . Integrate LLM capabilities including prompt engineering, RAG, embeddings, grounding, and model orchestration . Build and deploy AI Center pipelines, custom ML models, and AI-assisted automations . Evaluate and onboard new AI tools, frameworks, and COTS AI products for enterprise use. Partner with data science, architecture, and security teams to ensure compliant AI deployments. Data, Reporting & SQL Engineering (Primary) Design dashboards for automation performance, AI usage, operational insights, and ROI. Build and maintain reporting pipelines using SQL, Python, ETL, and UiPath Insights . Serve as SQL SME: schema reviews, query optimization, and data accuracy validation. Deliver automated reports for leadership, audit, and operational teams. DevOps & Platform Alignment (Secondary) Contribute to CI/CD pipelines for AI models, utilities, and services. Ensure applications align with platform standards for deployment, monitoring, and security. Collaborate with the Automation & Cloud Reliability Engineer on release and rollout planning. Collaboration, Enablement & Knowledge Sharing Work in Agile teams delivering prioritized automation and AI capabilities. Mentor engineers on GenAI, automation frameworks, and backend development. Lead technical workshops, demos, and documentation for reusable assets. Required Qualifications: Hands-on experience with GenAI / LLM integrations (RAG, embeddings, prompt engineering) . Strong development skills in C#/.NET, Python, REST APIs , and backend services. Advanced SQL and analytics experience. Familiarity with CI/CD pipelines and secure SDLC practices. Working knowledge of UiPath ecosystem and automation platforms.