Automation Solution Architect

Work Schedule

Environmental Conditions

Job Description

Job Title: Automation + AI Solution Architect

Lead design and implementation of Agentic and Automation solutions, applying AI and UiPath RPA.

Key Responsibilities:

Solution Architecture & Design:

• Craft and develop Agentic Automation solutions using RPA (UiPath), AI Agents, LLMs, and Generative AI.
• Design complete end-to-end automation solutions that improve operational efficiency and decision-making.
• Define scalable, reusable, and secure solution architectures that align with business goals and technology strategies.
• Collaborate with collaborators to understand business challenges and design automation solutions accordingly.

Technical Expertise & Implementation:

• Provide technical leadership in the integration of AI and automation tools within existing workflows.
• Work with UiPath (RPA), AI/ML models, cloud platforms (AWS, Databricks, Azure), and APIs to develop intelligent automation solutions.
• Evaluate and recommend AI technologies (LLMs, AI Agents, Gen AI) for automation use cases.
• Ensure automation solutions follow industry standards for security and compliance.

Proof of Concept (PoC) & Innovation:

• Lead the development of Proof of Concepts for automation use cases to assess feasibility and value.
• Work closely with AI/ML engineers and developers to iterate and refine automation capabilities.
• Stay up-to-date with emerging trends in AI, LLMs, and automation to drive innovation.

Collaboration & Mentorship:

• Collaborate with business collaborators, developers, and AI/ML engineers to implement automation solutions.
• Mentor junior and senior developers, ensuring adherence to standard methodologies in automation and technology workflows.

Required Experience & Skills:

• Extensive experience in Automation Solution design, with a strong emphasis on UiPath RPA and AI-based automation.
• Hands-on experience integrating AI (LLMs, AI Agents, Gen AI) with automation workflows.
• Proficiency in crafting agentic automation architectures that leverage AI for decision-making and process optimization.
• Strong expertise in UiPath, including Orchestrator, AI Center, Action Center and Document Understanding.
• Experience working with cloud platforms (AWS, Azure, Databricks, or similar) for automation and AI deployment.
• Strong knowledge of Python, Power Automate (optional), and APIs for AI and automation integration.
• Strong problem-solving skills with an ability to translate business needs into technical solutions.