Description

Responsibilities :

• Analyze, design, develop, and deploy end-to-end automation solutions with a strong emphasis on business value, cost savings, and operational efficiency across the investment workflows.
• Serve as the primary technical owner for production automation stability — proactively monitoring, triaging, and resolving incidents to maintain zero-defect delivery posture across all live bots.
• Evaluate automation requests and emerging AI capabilities (including LLM agents and agentic frameworks) to determine the optimal solution approach — knowing when RPA, AI, or a hybrid model is the right fit.
• Build and maintain React-based front-end interfaces that surface automation outputs, operational dashboards, and AI-powered workflow tools for business users and stakeholders.
• Integrate LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and AI-native patterns — including RAG pipelines, function calling, and streaming interfaces — into automation and operational tooling where applicable.
• Collaborate with the Product Owner during PI planning and sprint ceremonies to translate business requirements into well-scoped, deliverable automation epics and user stories.
• Partner with business units to gather requirements, assess automation opportunities, and design workflows that meet each team's operational and regulatory needs.
• Document automation architecture, design decisions, and process flows using Arc42 or equivalent frameworks to ensure maintainability and knowledge continuity.
• Provide technical mentorship to junior and mid-level engineers on the squad, establishing code quality standards, review practices, and AI integration patterns.
• Support the evaluation and adoption of emerging automation and AI tooling — including UiPath Autopilot, Agentic workflow frameworks, and Snowflake-integrated data pipelines.
• Act as a liaison and represent automation capabilities and interests when interacting and collaborating with Intelligent Automation teams across the enterprise.
   

Requirements :
 

• Technical skills stack: UiPath, React, TypeScript, LLM, AI APIs, REST APIs, Github Actions / CI-CD, Jira
• UiPath Development - Production-level RPA design and delivery; UiPath certifications preferred (UiARD or equivalent)
• React / Frontend Engineering - React 18+, TypeScript, component architecture, integration with REST/API backends
• Automation Analysis & Design - Process assessment, ROI/cost-saving analysis, solution design, and implementation planning
• Production Operations - Monitoring, incident triage, root cause analysis, and remediation of live automation environments
• AI / LLM Integration - Hands-on experience with OpenAI, Azure OpenAI, or Anthropic APIs; RAG pipelines, function calling, streaming UX patterns
• Agile / SAFe Delivery - Active participation in PI planning, sprint ceremonies, and backlog refinement; Jira proficiency
• Sound architectural judgment. You understand both RPA and AI deeply enough to make principled decisions about when each is the right tool — and when neither is. You can push back with data and propose alternatives.
• Production ownership mentality. You don't consider a bot "done " at deployment. You monitor it, catch failures before users do, and drive long-term stability as seriously as new delivery.
• Business-first automation thinking. You measure success in hours saved, error rates eliminated, and cost avoided — not lines of code written. You partner with business stakeholders to size and validate impact.
• AI-native engineering curiosity. You're actively exploring where LLM agents, RAG, and agentic frameworks fit into automation pipelines — and you're excited to help get there responsibly.
• Clear, cross-functional communication. You can translate technical tradeoffs into plain language for business stakeholders, compliance teams, and leadership — and write documentation that outlasts your tenure

Key Skills

Education

Bachelor's degree