Solution Architect – AI/ML

23 hours ago

Gurugram, India Capital Numbers Full time

We are seeking 5 experienced Solution Architects with expertise in Generative AI and AI/ML to design and implement cutting-edge solutions. This role involves architecting scalable, high-performance systems that integrate Generative AI technologies (e.g., LLMs, GANs, text-to-image models) and working closely with clients and teams to solve complex business challenges.


Key Responsibilities:

  • Solution Design & Architecture: Lead the design of scalable, secure AI/ML and Generative AI solutions. Develop architecture for AI-powered applications, including content generation and NLP.
  • Client Engagement: Work directly with clients to understand their needs and design AI/ML solutions that provide business value.
  • End-to-End Ownership: Manage AI/ML and Generative AI projects from concept to deployment, ensuring integration with existing systems.
  • Technical Leadership: Mentor cross-functional teams of data scientists, engineers, and developers. Stay current with AI and Generative AI trends.
  • Collaboration & Risk Management: Work with business teams to align technical solutions with client goals. Identify and address architectural risks.


Skills & Qualifications:

  • Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.
  • Technical Expertise: Strong experience with Generative AI (e.g., LLMs, GANs), machine learning, and deep learning frameworks (TensorFlow, PyTorch, etc.). Proficiency in Python and cloud platforms (AWS, Azure, Google Cloud).
  • Experience: 7+ years in AI/ML and 3+ years in designing Generative AI solutions.
  • Leadership & Communication: Ability to lead technical teams, communicate complex ideas clearly to both technical and non-technical stakeholders.
  • Comfortable with extensive Travelling within India.
  • Salary Benefits : 36lpa Fixed + Medical Insurance


What We Offer:

  • Competitive salary and benefits.
  • Career growth in cutting-edge AI technologies.
  • Collaborative and inclusive work environment.

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