AI Java Engineer/Architect

About

AI Java Developer Lead who can design and implement enterprise-scale applications integrated with AI/GenAI capabilities, combining Java architecture + AI/ML expertise + cloud solutions.

Key Responsibilities

AI & Architecture:

• Design end-to-end AI/GenAI architecture for enterprise applications
• Build scalable AI systems including LLMs, ML/DL models, and neural networks
• Define architecture patterns, standards, and best practices
• Lead solution design discussions with stakeholders and clients

Java & Application Development:

• Architect and develop Java-based enterprise applications (Spring Boot, Microservices)
• Integrate AI models into Java applications (APIs, services, pipelines)
• Ensure high performance, scalability, and security
• Drive code quality, design patterns, and system optimization

Cloud & DevOps:

• Design and deploy solutions on AWS / Azure / GCP
• Implement CI/CD pipelines and containerization (Docker/K8s)
• Ensure scalable and resilient distributed systems

Data & AI Engineering:

• Design data pipelines, ingestion, transformation, and storage
• Work with large datasets for AI model training and inference
• Collaborate with data scientists and ML engineers
• Ensure data quality, governance, and compliance

Leadership & Collaboration:

• Lead architecture reviews and mentor development teams
• Collaborate with Product, DevOps, Security, and Business teams
• Translate business requirements into technical AI solutions

Required Skills

Core Java & Backend

• Strong experience in Java, J2EE, Spring Boot, Microservices
• Expertise in REST APIs, event-driven architecture
• Knowledge of design patterns & system design

AI / ML Skills

• Experience with: Machine Learning / Deep Learning
• Experience with LLMs & Generative AI (GPT, transformers)
• Experience with Prompt Engineering
• Hands-on with frameworks: TensorFlow / PyTorch / Keras

Data & Big Data

• Strong in SQL / NoSQL
• Experience with data pipelines, ETL, Spark, Hadoop (optional)

Cloud & DevOps

• AWS / Azure / GCP
• Docker, Kubernetes
• CI/CD tools (Jenkins, GitHub Actions)

Additional:

• Frontend (optional): React / Angular
• Strong understanding of security & compliance (enterprise systems)

Qualifications

• Bachelor’s / Master’s in Computer Science / AI / Data Science
• 10+ years in software development
• 3+ years in architecture roles
• Experience in AI/ML-based enterprise solutions

Key Competencies

• Strong system design & architecture mindset
• Ability to handle large-scale distributed systems
• Problem-solving and innovation in AI-driven solutions
• Excellent communication & stakeholder management

Nice-to-Have:

• Experience with GenAI use cases (chatbots, copilots, NLP systems)
• Exposure to TOGAF / enterprise architecture frameworks
• Knowledge of AI governance & ethical AI