GenAI Architect

1 week ago

Hyderabad, Telangana, India Grid Dynamics Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 learning.

Required Qualifications

  • Educational Background
    :Bachelor's degree with 8+ years of experience; or
  • Master's 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 technologies.

Technical 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, Kubernetes).

Data Management Skills
:

  • Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Snowflake).

Beneficial 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., biopharmaceuticals).

Soft 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.

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