Director Of Engineering - Java, React, RAG & GenAI

External

Blue Yonder · Hyderabad, India

Full-timeHybridToday

AgileAWSAzureCI/CDDockerElasticsearch

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About the role

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

Responsibilities

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

Director Of Engineering - Java, React, RAG & GenAI

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