Senior Artificial Intelligence Solutions Architect

1 week ago

Gurgaon, Haryana, India beBeeArtificialIntelligence Full time ₹ 8,00,000 - ₹ 12,00,000
AI Solutions Architect

The role of an AI Solutions Architect involves leading a team of AI developers and guiding them in the delivery of robust AI solutions. This requires a solid foundation in software engineering, AI/ML technologies, and software development processes.

Key Responsibilities:
  • Lead, mentor, and guide a team of AI developers to drive innovation and excellence in AI solution design and deployment.
  • Ensure adherence to best practices in software engineering, AI model development, and deployment to ensure scalability, performance, and security.
  • Review and approve architectural designs, ensuring they meet enterprise requirements for scalability, performance, and security.
  • Architect and design AI solutions that integrate both Generative AI (GenAI) and traditional Machine Learning (ML) models to deliver business value.
Qualifications:
  • Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field, with a strong understanding of software development principles and AI technologies.
  • 6-9 years of experience in developing and deploying AI applications, with a proven track record of delivering scalable AI solutions in an enterprise setting.
  • Strong proficiency in programming languages such as Python, Java, or Go, with hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn, and Keras.
  • Experience with API development frameworks such as FastAPI, Django, or Flask, with a deep understanding of microservices architecture, event-driven design, and RESTful APIs.
Required Skills:
  • Experience with Large Language Models (LLMs) like GPT, BERT, or LLaMA, with fine-tuning capabilities and integration into enterprise applications and databases.
  • Familiarity with ML techniques like supervised learning, unsupervised learning, and reinforcement learning, with a strong understanding of classification, regression, clustering, and time-series forecasting.
  • Knowledge of containerization (Docker, Kubernetes) and serverless architectures for scalable AI solutions, with a strong understanding of distributed systems and high-performance computing.

As an AI Solutions Architect, you will have the opportunity to work on cutting-edge AI projects, driving innovation and excellence in AI solution design and deployment. If you are passionate about AI and software engineering, and have a strong desire to make a meaningful impact, this is an exciting opportunity to join our team and contribute to the development of AI solutions that transform businesses.

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