GenAI Architect

1 day ago

Hyderabad, India Grid Dynamics Full time
Generative AI Architect

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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