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.