Gen AI Architect

Cipher7 Business Consulting & Digital Solutions; New Brunswick (NJ); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Cipher7 Business Consulting & Digital Solutions seeks an experienced Gen AI Architect for a hybrid/onsite role with an AI-native startup client in the New Brunswick, NJ area. The architect will design and deploy LLM-powered, cloud-native AI applications, translating complex business needs into scalable solutions.

You will lead PoCs, collaborate with data scientists and ML engineers, and ensure performance, security, and compliance across AI platforms.

Qualifications

• 15+ years in technology with AI/ML focus.
• Recent hands-on experience building LLM-based solutions.
• Experience translating business requirements into scalable AI applications.

Responsibilities

• Design and architect scalable Generative AI and LLM-based solutions.
• Lead AI-powered features within product engineering environments.
• Translate business requirements into effective AI/ML solutions.
• Evaluate and optimize LLMs for various use cases.
• Lead PoCs and validate architectural feasibility.
• Collaborate with Data Scientists, ML Engineers, and Analysts.
• Ensure cloud-native architecture, performance, and security.

Skills

AI/ML expertise

LLM-based solutions

Transformer architectures

GCP

Python

TensorFlow/PyTorch

Cloud-native architecture

APIs & microservices

CI/CD

SQL/NoSQL databases

C/C++ performance

Tools

Vertex AI

Kubernetes

Google Kubernetes Engine (GKE)

SageMaker

Job description

Work Arrangement: Hybrid / Onsite

Experience: 15+ Years

About The Opportunity

One 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.

Required Skills & Experience

• 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, TensorFlow/PyTorch, NumPy, 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/NoSQL databases, and cloud security.
• Experience with Python and C/C++ programming, including performance analysis and debugging.

Good to Have

• Experience with Vertex AI, Amazon SageMaker, Kubernetes, and Google Kubernetes Engine (GKE).
• Knowledge of data parallelism and model parallelism.
• Experience with enterprise AI strategy, data platforms, and data warehouse technologies.