Application Engineering Technical Lead - II (Java/Python, AWS, Agentic AI, Intelligent Automation & AI Enablement)
Core
Provides expert technical leadership for the design, development, integration, and delivery of enterprise AI, Agentic AI, Generative AI, and Intelligent Automation solutions.
Role type
Senior IC application engineering technical lead (Agentic AI/GenAI)
Builds
Scalable, secure, and resilient AI-enabled applications and automation workflows for enterprise clients.
Domain
Financial services / Artificial Intelligence / Intelligent Automation
Deliverable
production ML models | product features
Required skills
Software architecture, system integration, APIs, cloud-native application development, Agentic AI solution development, Large Language Models (LLMs), RAG, prompt engineering, multi-agent orchestration, Java, Python, Spring Boot, REST APIs, microservices, AWS services (Lambda, ECS/Fargate, API Gateway, DynamoDB, S3, IAM, CloudFormation), CI/CD pipelines, containerization, Git-based development, monitoring, observability, UiPath platform expertise (Orchestrator, AI Center, Document Understanding, Process Mining, Automation Cloud), AI governance, responsible AI practices, Agile, DevSecOps
Preferred skills
UiPath Advanced Developer or Solution Architect Certification, AWS Cloud Practitioner or Solutions Architect Certification, Appian experience, enterprise-scale Agentic AI/GenAI implementation experience, financial services or regulated industry experience
Technologies
Java, Python, Spring Boot, AWS, UiPath, Claude, Git, Docker, Kubernetes
Responsibilities
Lead architecture, design, and implementation of Agentic AI, Generative AI, and intelligent automation solutions; Design and develop AI-enabled applications leveraging LLMs, multi-agent architectures, RAG, prompt engineering, and workflow orchestration; Integrate enterprise solutions with Claude and other leading LLM platforms and AI services; Provide technical leadership for UiPath automation platforms, AI-enabled workflows, and enterprise process automation initiatives; Define and approve solution architectures, integration patterns, engineering standards, and technical deliverables; Lead proof-of-concepts, technology evaluations, and adoption of emerging AI and automation capabilities; Troubleshoot complex application, integration, performance, and scalability challenges; Ensure solutions meet enterprise requirements for security, resiliency, observability, compliance, and operational excellence
Seniority
Senior, hands-on IC
