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Sr Software Development Engineer
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
We are seeking a highly experienced Senior Software Development Engineer (SDE) specializing in AI-powered Robotic Process Automation (Intelligent Automation) to architect, develop, and scale next-generation automation solutions that combine the power of UiPath RPA with Artificial Intelligence, Machine Learning, and Generative AI capabilities. This role goes beyond traditional rule-based automation — the ideal candidate will design cognitive, adaptive, and self-learning automation solutions that leverage AI/ML models, large language models (LLMs), natural language processing (NLP), computer vision, and intelligent document processing to drive transformative operational outcomes across the enterprise. The Senior SDE will serve as a technical leader, innovation driver, and hands-on practitioner, bridging the gap between RPA engineering, data science, and enterprise AI strategy.
Key Responsibilities
- Intelligent Automation Development & AI Integration
- Architect, design, and deliver end-to-end Intelligent Automation (IA) solutions combining UiPath RPA workflows with AI/ML capabilities including NLP, computer vision, predictive analytics, and Generative AI (GenAI)
- Develop and integrate UiPath AI Center pipelines including ML model deployment, retraining triggers, and skill consumption within UiPath workflows
- Build solutions leveraging UiPath Document Understanding for intelligent OCR, classification, extraction, and validation of structured and unstructured documents (invoices, contracts, forms, emails)
- Integrate Large Language Models (LLMs) such as OpenAI GPT, Azure OpenAI, or Google Gemini into automation workflows for natural language understanding, response generation, summarization, and decision support
- Develop UiPath Communications Mining and Process Mining integrations to identify automation candidates, sentiment patterns, and process inefficiencies using AI-driven discovery
- Implement UiPath Autopilot and agentic automation capabilities for human-in-the-loop and autonomous task execution
- Design and deploy AI-assisted decision engines within automation workflows, replacing hard-coded rules with model-driven, probabilistic decision-making
- Develop computer vision-based automation for image recognition, screen scraping of legacy/non-API-accessible applications, and visual validation tasks
RPA Platform Development & Architecture
- Lead end-to-end automation lifecycle from process discovery, AI feasibility assessment, and solution design through development, testing, deployment, and hypercare
- Architect scalable, reusable, and maintainable RPA solutions using UiPath Studio, REFramework, Orchestrator, Action Center, and custom activity libraries
- Design and implement integrations between UiPath automations and enterprise platforms including Oracle EBS/Fusion, Salesforce, SAP, ServiceNow, REST/SOAP APIs, databases, and legacy systems
- Build and govern a Reusable AI Component Library — pre-built, tested AI + RPA building blocks that accelerate delivery across the automation program
- Manage UiPath Orchestrator environments across DEV, SIT, UAT, and Production including tenant configuration, queue management, robot provisioning, and licensing optimization
- Establish and maintain CI/CD pipelines for RPA + AI artifact deployment using Azure DevOps, Jenkins, or equivalent tooling with full Git-based version control
- AI/ML Model Lifecycle & MLOps
- Collaborate with data science teams to productionize AI/ML models into UiPath-consumable skills and decision services
- Define and implement MLOps practices for model versioning, monitoring, retraining triggers, and drift detection within the automation ecosystem
- Evaluate and benchmark AI model performance, establish confidence score thresholds, and design human review escalation workflows for low-confidence predictions
- Integrate external AI services (Azure Cognitive Services, AWS Rekognition, Google Vision AI, Hugging Face models) into RPA workflows via API connectors
- Build Retrieval-Augmented Generation (RAG) pipelines that empower automation bots to query enterprise knowledge bases, policy documents, and FAQs dynamically
Technical Leadership & Governance
- Establish and enforce Intelligent Automation development standards covering both RPA coding guidelines and AI model integration patterns, security, and responsible AI principles
- Conduct architecture review boards and technical design sessions for complex AI + RPA use cases
- Mentor and upskill junior/mid-level RPA developers on AI integration techniques, prompt engineering, model consumption, and data literacy
- Drive adoption of emerging UiPath platform capabilities (Autopilot, GenAI Activities, LLM connectors, Agentic Automation) and evaluate new AI tools for inclusion in the automation stack
- Lead the RPA + AI CoE (Center of Excellence) governance model including pipeline prioritization, demand management, standards enforcement, and ROI tracking
- Process Discovery, Stakeholder Collaboration & Innovation
- Lead AI-augmented process discovery workshops using UiPath Process Mining, Task Mining, and SME interviews to identify, score, and prioritize automation opportunities
- Develop business cases for Intelligent Automation initiatives quantifying FTE savings, cycle time reduction, error rate improvement, and AI-driven decision accuracy gains
- Collaborate with enterprise architects, data engineers, security, and compliance teams to ensure AI + RPA solutions adhere to data privacy (GDPR, HIPAA), model governance, and ethical AI standards
- Translate complex AI + automation concepts into clear, compelling narratives for non-technical stakeholders and senior executives
- Continuously evaluate the automation landscape for opportunities to evolve from attended/unattended RPA Intelligent Automation Agentic AI models
- Quality, Testing & Continuous Improvement
- Design comprehensive testing strategies for AI + RPA solutions covering unit, integration, regression, AI model accuracy validation, and UAT support using UiPath Test Suite
- Define and monitor performance KPIs for intelligent automation including bot utilization, AI model accuracy, exception rate, straight-through processing (STP) rate, and realized ROI
- Perform root cause analysis on automation and AI model failures; implement self-healing mechanisms, fallback logic, and human escalation pathways
- Conduct post-implementation reviews and drive a culture of continuous improvement across the Intelligent Automation program
Required Qualifications
- 8+ years of overall IT/software development experience with at least 5+ years of hands-on UiPath RPA development in enterprise environments
- 3+ years of experience integrating AI/ML capabilities into automation solutions (NLP, OCR/IDP, computer vision, predictive models, or LLMs)
- Deep expertise in UiPath Studio, Orchestrator, REFramework, AI Center, Document Understanding, Action Center, and UiPath Test Suite
- Strong proficiency in one or more programming/scripting languages: C#, VB.NET, Python, or PowerShell
- Proven experience consuming REST APIs, Azure OpenAI / OpenAI APIs, or other AI platform services within automation workflows
- Hands-on experience with Intelligent Document Processing (IDP) including OCR, document classification, and data extraction pipelines
- Solid understanding of ML model lifecycle management - training, evaluation, deployment, monitoring, and retraining
- Experience with Git-based version control and CI/CD pipeline setup for RPA + AI artifacts (Azure DevOps, GitHub Actions, Jenkins)
- Familiarity with cloud AI platforms - Azure AI/Cognitive Services, AWS AI Services, or Google Cloud AI
- Strong knowledge of responsible AI principles, data privacy regulations (GDPR, HIPAA), and AI governance frameworks
- Experience operating in Agile/Scrum or SAFe environments
Preferred Qualifications
- UiPath Certified Professional Developer (UiARD) or UiPath Advanced RPA Developer certification
- UiPath Specialist – AI and Document Understanding certification or equivalent platform expertise
- Experience with Generative AI, prompt engineering, LangChain, RAG architectures, or fine-tuning open-source LLMs for enterprise use cases
- Familiarity with UiPath Autopilot, Communications Mining, or Process Mining platforms
- Experience establishing or operating an RPA + AI Center of Excellence (CoE)
- Background in building agentic automation solutions or multi-agent AI orchestration frameworks
- Exposure to complementary automation/integration platforms: Power Automate, Boomi, Azure Logic Apps, APIGEE
- Experience in high-compliance industries: financial services, insurance, healthcare, telecom, or government
- Familiarity with MLOps platforms such as Azure ML, MLflow, Vertex AI, or AWS SageMaker
- ITIL v4 Foundation or SAFe certification (Agilist, Practitioner)
- Experience in large-scale RPA CoE (Center of Excellence) setup, governance, and operating model design
- Background in financial services, insurance, healthcare, telecom, or large enterprise environments with high-compliance requirements
- Exposure to complementary automation and integration technologies (Boomi, Power Automate, APIGEE, Azure Logic Apps)
- Experience implementing intelligent automation combining RPA with AI, NLP, OCR, and machine learning pipelines
- Familiarity with ITIL v4 framework for incident, change, and release management within an automation context
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting .
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