Director Of Engineering - Java, React, RAG & GenAI

Overview

• Blue Yonder, a leading AI-driven Global Supply Chain Solutions software company, is seeking a Director of Engineering – Java Full Stack (React) to lead strategic product development initiatives.
• This role combines deep technical expertise with strong leadership, driving the design and delivery of scalable, cloud-native, full-stack applications. You will lead multiple engineering teams and play a critical role in shaping next-generation Warehouse Management and Supply Chain solutions, enabling seamless logistics in an evolving e-commerce landscape.

Technology Environment

• Backend: Java, Spring Boot, Microservices
• Frontend: React.js, TypeScript, modern SPA architecture
• Cloud: Microsoft Azure (primary), Kubernetes, Docker
• Data & Messaging: Kafka, ElasticSearch, distributed systems
• Architecture: Hybrid (Legacy 3-tier + SaaS multi-tenant microservices)
• DevOps: CI/CD pipelines, Infrastructure as Code, automation
• Agentic AI/GenAI: Azure OpenAI, LLMs (GPT family), prompt engineering, vector databases (FAISS, Pinecone), RAG architectures, AI observability

What You’ll Do

• Provide strategic and technical leadership for multiple Java Full Stack engineering teams (30+ engineers through managers/leads).
• Define and drive architecture vision for scalable, resilient cloud-native and AI-enabled applications.
• Lead development of modern SaaS platforms integrating Generative AI capabilities to enhance user experience, automation, and decision intelligence.
• Drive adoption of AI-assisted engineering (e.g., Copilot, code generation, automated testing).
• Design and implement AI-powered features such as intelligent recommendations, conversational interfaces, and predictive insights in supply chain products.
• Oversee end-to-end delivery from planning through production, including AI model lifecycle management (LLMOps).
• Ensure responsible AI practices, including data privacy, model explainability, and governance.
• Partner with Product, Data Science, and Architecture teams to embed AI/ML into product strategy and workflows.
• Establish engineering KPIs including AI adoption metrics, productivity gains, and model performance metrics.
• Drive innovation through experimentation with emerging GenAI tools and frameworks.
• Mentor leaders in AI-first engineering mindset and modern development practices.

Desired Skills & Experience Technical Leadership

• Strong background in:

• Java, Spring Boot, Microservices architecture

• React.js and modern frontend engineering practices

• Proven experience architecting large-scale full stack enterprise applications

• Deep expertise in:

• Distributed systems
• Cloud-native architecture
• Multi-tenant SaaS platforms
• Event-driven and AI-augmented architecture

Generative AI & Advanced Technologies Hands-on Or Leadership Experience With

• Large Language Models (LLMs) and Generative AI platforms (Azure OpenAI, OpenAI, etc.)
• Prompt engineering and prompt optimization techniques
• Retrieval-Augmented Generation (RAG) architecture
• Vector databases and embeddings (e.g., Pinecone, FAISS)

Experience Integrating AI Into Enterprise Applications

• Chatbots, copilots, knowledge assistants
• Intelligent automation workflows

Understanding Of

• Model evaluation, monitoring, and fine-tuning strategies
• AI governance, security, and ethical considerations

Familiarity With

• LLMOps / MLOps pipelines
• AI observability and performance tracking
• Exposure to AI-driven developer productivity tools (e.g., GitHub Copilot)

Leadership & Delivery

• Proven track record of leading large engineering organizations and multiple teams.
• Experience delivering enterprise-grade SaaS products at scale.
• Strong experience in Agile/SAFe/Kanban methodologies at scale.
• Data-driven approach to improving engineering productivity and quality.
• Ability to influence stakeholders across Product, Engineering, Sales, and Operations.

Cloud & DevOps

• Expertise in:

• Cloud platforms (Azure preferred; AWS/GCP acceptable)
• Kubernetes, Docker, container orchestration

• CI/CD, DevOps practices, Infrastructure as Code

• Experience building highly available, scalable, and secure system

What We’re Looking For

• 15+ years of software engineering experience with 5+ years in leadership roles.
• 5+ years of experience in microservices and cloud-native architectures.
• Strong experience in full stack development.

• Demonstrated success in:

• Buildin…