Associate Vice President

Job description

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. As a Full Stack AI Engineer , you will build end-to-end AI-powered applications that combine intuitive user experiences with scalable backend services and modern AI capabilities. You will work across the complete technology stack—from frontend interfaces and APIs to AI orchestration, agentic workflows, Retrieval-Augmented Generation (RAG), and cloud deployment.

This role is ideal for engineers who are passionate about building AI-first products rather than simply consuming AI APIs.

What You'll Do

• Build AI Products
• Design and develop enterprise-grade AI applications from concept to production
• Build intelligent assistants, copilots, AI agents, and workflow automation solutions Develop Retrieval-Augmented Generation (RAG) systems using enterprise knowledge sources
• Implement multi-agent workflows and autonomous reasoning systems

Full Stack Development

• Develop modern web applications using React, Angular or Next.js
• Build scalable backend services using Python, Java, or Node.js
• Design secure REST and GraphQL APIs
• Develop cloud-native microservices AI Engineering
• Integrate commercial and open-source foundation models
• Build prompt engineering frameworks
• Develop evaluation pipelines for AI quality and safety
• Implement vector search and semantic retrieval Optimize AI applications for latency, cost, and accuracy

Platform Engineering

• Deploy applications on Azure, AWS, or GCP Containerize applications using Docker and Kubernetes Build CI/CD pipelines
• Implement observability, monitoring, and performance tuning Innovation Rapidly prototype new ideas
• Evaluate emerging AI technologies
• Contribute to internal reusable AI platforms
• Collaborate with product, architecture, and business teams to identify high-value AI use cases

Required Qualifications

Bachelor's or Master's degree in Computer Science or related field 8-12 years of software engineering experience 2+ years building Generative AI or LLM-powered applications Strong understanding of software architecture and distributed systems

Technical Skills

Programming Python Java or Node.js JavaScript / TypeScript Frontend React Next.js Angular HTML5 CSS Tailwind Backend FastAPI Spring Boot Express.js REST APIs GraphQL AI Technologies OpenAI Azure OpenAI Anthropic Claude Gemini Llama Mistral Hands-on experience with: Prompt Engineering RAG AI Agents Function Calling Structured Outputs Model Evaluation Guardrails Vector Databases Embeddings AI Frameworks Experience with one or more: LangChain LangGraph LlamaIndex Semantic Kernel AutoGen CrewAI Google ADK Databases PostgreSQL MongoDB Redis Pinecone Azure AI Search Weaviate Milvus Cloud & DevOps AWS Docker Kubernetes GitHub Actions Terraform

Nice to Have

Experience with: MCP (Model Context Protocol) AI observability Knowledge Graphs Multi-modal AI Fine-tuning Synthetic data generation Financial services or Capital Markets We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective.

Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process.

Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.