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Grid Dynamics - Generative AI Architect

Grid Dynamics - Generative AI Architect

GRID DYNAMICS PRIVATE LIMITEDHyderabad
12 days ago
Job description

Role : Generative AI Architect / Lead

Location : Hyderabad / Bangalore / Chennai.

Notice period : Immediate to 60days.

Key Responsibilities :

  • Strategic Leadership : Develop and communicate the generative AI vision and strategy, ensuring alignment with organizational objectives.
  • Architecture Design : Architect scalable systems for deploying generative AI applications,

integrating them with existing technology stacks.

  • Technical Guidance : Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment.
  • Project Management : Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization.
  • Collaboration : Work closely with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes.
  • Performance Monitoring : Monitor, optimize, and troubleshoot production systems to

    • maintain high performance of AI applications.

  • CI / CD Pipeline Management : Design and manage continuous integration and continuous

    • deployment pipelines for generative AI solutions.

  • API Development : Define and deliver quality API access for various generative AI services.
  • Team Development : Recruit, mentor, and coach team members to foster a culture of

    • continuous Qualifications :

  • Educational Background : Bachelors degree with 8+ years of experience; or.
  • Masters degree with 7+ years of experience; or PhD with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering).
  • Experience : Proven experience as an Enterprise Architect or Solution Architect focusing on

    • AI / ML and generative AI Skills :

  • Proficiency in programming languages such as Python, R, or Java.
  • Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and

    • libraries for deep learning.

  • Strong understanding of generative AI techniques, including deep generative models and

    • reinforcement learning.

  • Expertise in CI / CD pipeline design and management, particularly in the context of generative AI.
  • Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Management Skills :
  • Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Skills :
  • Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.g., ChatGPT).
  • Understanding of AI agents for decision-making and deployment of complex applications.
  • Experience in the commercial domain or specific industry knowledge (e.g., Skills :
  • Exceptional communication and collaboration abilities to work effectively with cross-

    • functional teams.

  • Strong problem-solving skills combined with critical thinking to analyze complex challenges.
  • Ability to present findings and strategies clearly to leadership and stakeholders.

    • (ref : hirist.tech)

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