GenAI Architect

4 weeks ago


Hyderabad India Grid Dynamics Full time

Job Description 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.


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