Application Engineering Technical Lead - II (Java/Python, AWS, Agentic AI, Intelligent Automation & AI Enablement)

Overview

Provides expert technical leadership for the design, development, integration, and delivery of enterprise AI, Agentic AI, Generative AI, and Intelligent Automation solutions, serving as technical authority for AI-enabled applications, LLM integration, and modern software engineering practices.

What you'll do

• 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.
• Drive engineering excellence through architecture reviews, code reviews, technical mentoring, and SDLC best practices.
• Troubleshoot complex application, integration, performance, and scalability challenges.
• Ensure solutions meet enterprise requirements for security, resiliency, observability, compliance, and operational excellence.
• Collaborate with product, architecture, security, and business stakeholders to deliver high-impact technology solutions.

What you'll need

• 8+ years of experience in software engineering, application development, solution architecture, or enterprise technology delivery.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• Experience delivering complex enterprise applications and technology solutions.
• Strong expertise in software architecture, system integration, APIs, and cloud-native application development.
• Experience working within Agile, DevSecOps, and modern software delivery environments.
• Agentic AI and Generative AI solution development.
• Large Language Models (LLMs), RAG, prompt engineering, and multi-agent orchestration.
• Experience integrating Claude and/or other enterprise LLM platforms.
• AI governance and responsible AI practices.
• UiPath platform expertise including Orchestrator, AI Center, Document Understanding, Process Mining, and Automation Cloud.
• Deep hands-on expertise in Java and/or Python.
• Spring Boot, REST APIs, microservices, and event-driven architectures.
• Enterprise application integration and distributed systems design.
• AWS services including Lambda, ECS/Fargate, API Gateway, DynamoDB, S3, IAM, and CloudFormation.
• CI/CD pipelines, containerization, Git-based development, monitoring, and observability.

Nice to have

• UiPath Advanced Developer or Solution Architect Certification.
• AWS Cloud Practitioner or Solutions Architect Certification.
• Experience with Appian or enterprise workflow platforms.
• Experience implementing enterprise-scale Agentic AI, GenAI, or intelligent automation solutions.
• Financial services or regulated industry experience.

Details

• Based in Hyderabad, Telangana at Vanguard India.
• Hybrid working model for most employees.
• Only qualified external applicants will be considered.