Application Engineering Technical Lead - II (Java/Python, AWS, Agentic AI, Intelligent Automation & AI Enablement)
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Application Engineering Technical Lead - II (Java/Python, AWS, Agentic AI, Intelligent Automation & AI Enablement)
Location
Hyderabad, India
Experience
Senior
Posted
Jul 22, 2026
Apply by
August 21, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
About Vanguard
Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.
Vanguard’s India Office
Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.
Role Summary
Provides expert technical leadership for the design, development, integration, and delivery of enterprise AI, Agentic AI, Generative AI, and Intelligent Automation solutions. Partners with product, architecture, engineering, and business teams to build scalable, secure, and resilient capabilities that drive productivity, workflow transformation, and measurable business value. Serves as a technical authority for AI-enabled applications, LLM integration, intelligent automation, and modern software engineering practices.
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.
- 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.
Qualifications and Skills
- 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.
AI & Automation:
- 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.
Software Engineering:
- 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.
Cloud & Platform Technologies:
- AWS services including Lambda, ECS/Fargate, API Gateway, DynamoDB, S3, IAM, and CloudFormation.
- CI/CD pipelines, containerization, Git-based development, monitoring, and observability.
Preferred Qualifications:
- 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.
Core Competencies:
- Technical Leadership
- Solution Architecture
- Agentic AI & Generative AI Expertise
- Intelligent Automation
- Cloud & Integration Engineering
- Problem Solving & Technical Decision Making
- Innovation & Continuous Improvement
- Stakeholder Influence & Collaboration
- Business Value Delivery
Location
This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered.
Our mission
Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
Our commitment to you
Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:
Financial wellness
We're committed to enabling your financial success and provide competitive offers and programs.
Physical wellness
We're committed to providing benefits that support your physical health and wellness.
Personal wellness
We're committed to providing resources that help support the full scope of your life.
How we work
Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Key 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, and prompt engineering.
- Integrate enterprise solutions with Claude and other leading LLM platforms and AI services.
- Provide technical leadership for UiPath automation platforms 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.
Requirements
- Bachelor's degree in Computer Science
- Information Technology
- Engineering
- or related field
Skills Required
JavaPythonAWSAgentic AIGenerative AILLMsRAGPrompt EngineeringMulti-agent orchestrationUiPathSpring BootREST APIsMicroservicesEvent-driven architecturesLambdaECSFargateAPI GatewayDynamoDBS3IAMCloudFormationCI/CDContainerizationGitTechnical LeadershipSolution ArchitectureProblem SolvingTechnical Decision MakingStakeholder InfluenceCollaborationAppianEnterprise workflow platformsFinancial services experienceRegulated industry experienceInnovationContinuous ImprovementBusiness Value Delivery
Benefits
- Financial wellness programs
- Physical wellness support
- Personal wellness resources
- Hybrid working model
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