GenAI Architect

2 weeks ago

Bengaluru Chennai Hyderabad, India Ltimindtree Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description for AI Architect

Experience Level: Minimum 12+ years

Must Have Key Responsibilities:

  • Collaborate with data scientists, engineers, and product managers to identify AI opportunities and define project requirements.
  • Evaluate and select appropriate AI technologies, tools, and platforms to optimize performance and scalability.
  • Lead the development of AI algorithms and models, ensuring they are robust, efficient, and aligned with best practices.
  • Conduct research on emerging AI trends and technologies to inform strategic decisions and maintain a competitive edge.
  • Oversee the integration of AI solutions into existing systems and workflows, ensuring seamless functionality.
  • Provide technical guidance and mentorship to team members on AI-related projects and initiatives.
  • Monitor and evaluate the performance of AI models, making necessary adjustments to improve accuracy and efficiency.
  • Communicate complex AI concepts and solutions to non-technical stakeholders in a clear and concise manner.
  • Develop a deep understanding of Azure solution architecture, including infrastructure, services, cost management, and monitoring.

Qualifications:

  • Proven experience as an AI Architect or in a similar role, with a strong portfolio of successful AI projects.
  • Experience with cloud platforms (e.g., Azure, Google Cloud, AWS) and big data technologies, specifically Azure Data Lake, Databricks, and other big data processing tools (e.g., Hadoop, Spark).
  • Basic Understanding of machine learning algorithms, deep learning, natural language processing, and computer vision.
  • Understanding of cloud infrastructure, services, cost management, and monitoring.
  • Knowledge of AI tools and GenAI and Agentic AI frameworks.
  • Exposure to cloud architecture principles and practices, with a focus on improvement.
  • Ability to learn quickly and adapt to new technologies and methodologies.
  • Experience in deploying AI solutions in production environments.
  • Knowledge of data engineering and data management best practices.

Preferred Skills:

  • Experience with other cloud platforms such as Google Cloud and Amazon Web Services.
  • Understanding of system design principles and cloud deployment strategies.

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