What are the responsibilities and job description for the AI Java Engineer/Architect position at Wall Street Consulting Services LLC?
Job Title: AI Java Engineer/Architect
Location: Jersey City , NJ
Duration: Fulltime
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
LLMs & Generative AI (GPT, transformers)
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