Generative AI Architect

1 month ago


Hyderabad, India HCLTech Full time

Generative AI Architect (Preferred Azure)

Job location: Hyderabad, Noida, Bangalore, Chennai

Experience: Overall 15+ years & 3+ years of experience in AI Architecture.


Responsibilities:

  • Architect end-to-end generative AI solutions on Microsoft Azure platform, including data ingestion, model training, deployment, and monitoring.
  • Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical specifications.
  • Design and implement scalable and efficient AI pipelines utilizing Azure Machine Learning, Azure Databricks, Azure Cognitive Services, and other relevant Azure services.
  • Explore and evaluate new AI technologies, frameworks, and methodologies to enhance existing solutions and drive innovation.
  • Mentor other Gen AI resources on technical solution and deliverables.
  • Front end customer interactions for design and architecture of Generative AI solutions and lead the solution delivery,
  • Develop and maintain best practices, standards, and guidelines for generative AI architecture on Azure.
  • Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth.
  • Stay updated with the latest advancements in AI, machine learning, and cloud computing, and contribute to thought leadership within the organization.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Proven experience architecting and implementing generative AI solutions on Microsoft Azure platform.
  • Deep understanding of machine learning algorithms, deep learning frameworks, and natural language processing techniques.
  • Strong knowledge and experience (preferable) in Microsoft OpenAI platform
  • Strong knowledge and experience (preferable) in NLP, GPT, LLM on Microsoft platform
  • Proficiency in programming languages such as Python, R, or Scala, with experience in building and deploying AI models.



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