GenAI Architect

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.