Job DescriptionWe are seeking an experienced
RPA AI Architect to design and lead enterprise-scale automation solutions combining
RPA, AI/ML, Generative AI, intelligent agents, APIs, and workflow automation.
The role will focus on architecting and implementing intelligent automation solutions that improve business processes, operational efficiency, document processing, data extraction, decision-making, and end-to-end workflow automation across enterprise environments.
Key Responsibilities- Design end-to-end RPA, AI, and intelligent automation architectures for enterprise business processes.
- Develop AI-powered automation solutions for document processing, data extraction, workflow automation, reporting, and business operations.
- Architect solutions using RPA, LLMs, Generative AI, NLP, RAG, AI agents, and intelligent workflow orchestration.
- Integrate automation solutions with enterprise applications, databases, APIs, SaaS platforms, and legacy systems.
- Design and implement intelligent robotic/process automation workflows using RPA platforms, APIs, AI agents, and orchestration frameworks.
- Develop scalable and reusable automation frameworks and enterprise automation standards.
- Evaluate business processes and identify opportunities for RPA and AI-driven automation.
- Establish secure, scalable, and highly available architectures for enterprise automation platforms.
- Design appropriate access controls, authentication, monitoring, logging, and governance for automation solutions.
- Evaluate and optimize AI models for accuracy, performance, reliability, relevance, and cost efficiency.
- Lead architecture reviews, technical POCs, solution design, and production implementations.
- Collaborate with business stakeholders, solution architects, data scientists, ML engineers, software engineers, DevOps, and security teams.
- Provide technical leadership and architectural guidance throughout the automation lifecycle.
Qualifications- 10+ years of experience in software engineering, RPA, AI/ML, enterprise architecture, or related technology.
- Strong experience designing RPA, AI/ML, and Generative AI architectures.
- Expertise in RPA, workflow automation, intelligent automation, and process orchestration.
- Strong understanding of LLMs, NLP, RAG, embeddings, vector databases, and AI agents.
- Experience with Python, REST APIs, microservices, and enterprise integration.
- Hands-on experience with one or more RPA platforms such as UiPath, Automation Anywhere, or Microsoft Power Automate.
- Experience with AWS, Azure, or GCP cloud platforms and AI services.
- Experience integrating automation solutions with enterprise applications, databases, APIs, and SaaS platforms.
- Strong understanding of automation architecture, scalability, monitoring, security, and governance.
- Experience designing reusable automation frameworks and enterprise-level solutions.
- Strong architecture documentation, presentation, and stakeholder communication skills.
Additional Information- Experience with UiPath, Automation Anywhere, or Power Automate.
- Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Azure OpenAI, AWS Bedrock, or equivalent technologies.
- Experience with AI agents and agentic workflow automation.
- Knowledge of RAG, Graph RAG, Knowledge Graphs, embeddings, and vector databases.
- Experience with OCR, Intelligent Document Processing (IDP), computer vision, and document automation.
- Experience integrating RPA platforms with REST APIs, SOAP APIs, databases, queues, and enterprise systems.
- Experience with Azure Functions, AWS Lambda, serverless architecture, or equivalent technologies.
- Experience with workflow/orchestration platforms and event-driven architectures.
- Experience building human-in-the-loop AI and automation solutions.
- Experience taking automation solutions from POC through production deployment and enterprise scale.
- Knowledge of DevOps, CI/CD, containers, Kubernetes, and cloud-native architecture is a plus.
