Chief Generative AI Strategist

1 day ago

Hyderabad, Telangana, India beBeeEnterprise Full time US$ 2,00,000 - US$ 2,50,000
Job Description:

As a GenAI Architect, you will be responsible for developing and communicating the generative AI vision and strategy, ensuring alignment with organizational objectives.

To achieve this, you will develop strategic leadership plans to ensure the successful deployment of generative AI applications. You will architect scalable systems for deploying generative AI applications, integrating them with existing technology stacks. Additionally, you will provide technical guidance and mentorship to teams, promoting best practices in generative AI development and deployment.

Key Responsibilities:
  • Develop strategic leadership plans to ensure the successful deployment of generative AI applications.
  • Architect scalable systems for deploying generative AI applications, integrating them with existing technology stacks.
  • Provide technical guidance and mentorship to teams, promoting best practices in generative AI development and deployment.
  • Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization.
  • Collaborate with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes.
  • Monitor, optimize, and troubleshoot production systems to maintain high performance of AI applications.
  • Design and manage continuous integration and continuous deployment pipelines for generative AI solutions.
  • Define and deliver quality API access for various generative AI services.
  • Recruit, mentor, and coach team members to foster a culture of continuous learning.
Required Qualifications:
  • 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).
  • 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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