Grid Dynamics - Generative AI Architect

Role : 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 : Bachelors degree with 8+ years of experience; or.

- Masters 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.

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).

- 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.

- Ability to present findings and strategies clearly to leadership and stakeholders.