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AI Systems Architect

AI Systems Architect

beBeeGenerativeSurat, Gujarat, India
7 days ago
Job description

AI Solutions Architect

Key Responsibilities :

  • Design and develop advanced AI solutions leveraging large language models (LLMs), generative AI models, AI agents, and hybrid AI approaches.
  • Architect scalable, secure, and efficient AI systems integrating traditional machine learning with emerging generative AI capabilities.
  • Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards.

Thought Leadership & Innovation :

  • Act as a subject matter expert in generative AI, LLMs, and agentic AI; contribute to technical strategy and AI roadmaps.
  • Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader.
  • Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML.

    • Engineering & Delivery :

  • Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization.
  • Lead proof-of-concept development and transition of AI solutions into production.
  • Collaborate with product managers, data scientists, engineers, and stakeholders to deliver enterprise-ready AI solutions.

    • Mentorship & Leadership :

  • Mentor and guide engineering teams on best practices in AI solutioning, research translation, and applied engineering.
  • Foster a culture of innovation, experimentation, and continuous learning within the AI / ML engineering group.

    • Required Qualifications :

  • Experience : 7–12 years in Artificial Intelligence and Machine Learning, with 3–4 years dedicated to Generative AI, LLMs, and Agentic AI.

    • Technical Expertise :

  • Strong understanding of LLM architectures, fine-tuning, and deployment.
  • Experience in AI agent frameworks, multi-agent systems, and orchestration tools.
  • Solid background in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning.
  • Proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, and cloud AI platforms.
  • Leadership Skills : Proven track record of architecting AI solutions at scale and leading cross-functional teams.
  • Research & Innovation : Demonstrated ability to stay ahead of AI trends and convert emerging techniques into practical solutions.

    • Strong communication skills with the ability to articulate AI concepts to both technical and executive stakeholders.

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    System Architect • Surat, Gujarat, India