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Gen AI Architect
Job in
New Brunswick, Middlesex County, New Jersey, 08933, USA
Listed on 2026-10-16
Listing for:
Cipher7 Business Consulting & Digital Solutions
Full Time
position Listed on 2026-10-16
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Work Arrangement: Hybrid / Onsite
Experience: 15+ Years
About The OpportunityOne of our clients, an AI-native start-up
, is looking for an experienced Gen AI Architect with strong hands-on expertise in Generative AI, Large Language Models (LLMs), and Cloud-Native Architecture
The ideal candidate will have recently designed and developed LLM-powered solutions within a product development environment, translating business requirements into scalable, secure, and production-ready AI applications.
Key Responsibilities- Design and architect scalable Generative AI and LLM-based solutions.
- Lead the development of AI-powered features and solutions within product engineering environments.
- Translate business requirements into effective AI/ML solutions.
- Evaluate, benchmark, and optimise LLMs for different business use cases.
- Lead technical proof of concepts (PoCs) and validate architectural feasibility.
- Collaborate with Data Scientists, ML Engineers, and Business Analysts to deliver AI solutions.
- Ensure solutions meet cloud-native architecture, performance, security, and scalability requirements.
- 15+ years of overall technology experience, with strong expertise in AI/ML and Generative AI.
- Recent hands-on experience building and deploying LLM-based solutions
. - Strong understanding of Transformer architectures and models such as BERT, RoBERTa, GPT, and Llama.
- Experience with Google Cloud Platform (GCP) and large-scale data processing.
- Proficiency in Python, Tensor Flow/PyTorch, Num Py, Pandas, and Scikit-learn.
- Strong understanding of cloud-native architecture, APIs, microservices, and distributed systems.
- Experience with model evaluation, benchmarking, and performance optimisation.
- Knowledge of CI/CD, infrastructure automation, SQL/No
SQL databases, and cloud security. - Experience with Python and C/C++ programming, including performance analysis and debugging.
- Experience with Vertex AI, Amazon Sage Maker, Kubernetes, and Google Kubernetes Engine (GKE).
- Knowledge of data parallelism and model parallelism.
- Experience with enterprise AI strategy, data platforms, and data warehouse technologies.
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