Generative AI Architect (Big Data & Java Expertise)
Hybrid role
New Brunswick NJ
We are seeking a skilled and innovative Generative AI Architect with a strong background in Big Data and Java to lead our AIdriven initiatives. The ideal candidate will design and implement cuttingedge generative AI models and systems that leverage large datasets while ensuring seamless integration with Javabased platforms. This role requires a deep understanding of AI/ML technologies data architecture and software engineering to drive the next generation of AIpowered solutions.
Key Responsibilities:
- Lead the design and architecture of generative AI models and systems that utilize largescale data. Collaborate with data scientists ML engineers and product teams to create scalable and efficient AIdriven platforms.
- Leverage Big Data technologies (Hadoop Spark etc.) to handle massive datasets and ensure efficient data ingestion processing and storage for AI applications.
- Architect develop and integrate AI models into Javabased enterprise applications ensuring smooth operation within existing systems.
- Work with teams to develop generative AI models (e.g. GPT GANs) and optimize them for performance scalability and business needs. Ensure models are trained on relevant datasets and continuously updated.
- Collaborate with crossfunctional teams including data engineering software development and business stakeholders to drive AI initiatives. Mentor junior engineers and provide guidance on AI and Big Data architecture.
- Architect and deploy AI systems in cloud environments (AWS GCP Azure) and ensure robust infrastructure for AI model deployment and scalability.
- Stay updated with the latest trends and advancements in AI Big Data and Java technologies applying this knowledge to enhance systems and processes.
Required Qualifications:
- 8 years of experience in software engineering AI or data architecture roles.
- Proven experience in designing and deploying AI models particularly generative AI (e.g. GPT GANs VAEs).
- Strong background in Big Data technologies such as Hadoop Spark Kafka and NoSQL databases.
- Extensive handson experience with Java including multithreading JVM tuning and integration with largescale systems.
- Experience with cloud platforms (AWS GCP Azure) for AI model deployment and scaling.
- Expertise in machine learning frameworks (TensorFlow PyTorch Keras).
- Strong understanding of data pipelines ETL processes and distributed systems.
- Proficiency in AI algorithms and techniques (e.g. NLP computer vision deep learning).
- Knowledge of microservices architecture RESTful APIs and containerization (Docker Kubernetes).
- Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.
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