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Hands-on experience in GCP/Data Engineering/DevOps
The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure. This hands-on leadership position requires extensive technical expertise and experience in managing a diverse, cross-functional team of engineers spanning GenAI App Development, Data Science, Machine Learning, Full Stack, DevOps, Cloud Infrastructure, and API development.
Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving.
| Skill | Required Proficiency - On a scale of 1-5 (5 being the highest) | |
| AI Architect | Design and implement scalable architectures for Generative AI-based applications addressing challenges such as latency, fine-tuning, model monitoring, and cost optimization | Job Location/Client Location (with City & State) |
| Strong background in data science, machine learning, and software engineering | 5 | |
| Hands-on expertise in managing LLMs (e.g., OpenAI, Hugging Face, or custom models). | 4 | |
| Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices. | 4 | |
| Raritan, NJ | Agentic AI implementation | 3.5 |
| Writing SQL | 4 | |
| API framework (e.g., FastAPI) | 3 |