GenAI Architect

Generative AI Architect/Lead

Location: Hyderabad / Bangalore/ Chennai

Experience: 7 to 14Years

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.