Grid Dynamics - Generative AI Architect

<p><p><b>Role : Generative AI Architect/Lead</b><br/><br/> Location : Hyderabad / Bangalore/ Chennai.<br/><br/> Notice period : Immediate to 60days.</p><p><br/></p><p><b>Key Responsibilities :</b></p><p><br/></p><p>- Strategic Leadership : Develop and communicate the generative AI vision and strategy, ensuring alignment with organizational objectives.<br/><br/></p><p> - Architecture Design : Architect scalable systems for deploying generative AI applications, </p><p>integrating them with existing technology stacks.<br/><br/></p><p> - Technical Guidance : Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment.<br/><br/></p><p> - Project Management : Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization.<br/><br/></p><p> - Collaboration : Work closely with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes.<br/><br/></p><p> - Performance Monitoring : Monitor, optimize, and troubleshoot production systems to </p><p>maintain high performance of AI applications.<br/><br/></p><p> - CI/CD Pipeline Management : Design and manage continuous integration and continuous </p><p>deployment pipelines for generative AI solutions.<br/><br/></p><p> - API Development : Define and deliver quality API access for various generative AI services.<br/><br/></p><p> - Team Development : Recruit, mentor, and coach team members to foster a culture of </p><p>continuous Qualifications :</b></p><p><br/></p><p>- Educational Background : Bachelors degree with 8+ years of experience; or.</p><p><br/></p><p> - Masters degree with 7+ years of experience; or PhD with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering).</p><p><br/></p><p> - Experience : Proven experience as an Enterprise Architect or Solution Architect focusing on </p><p>AI/ML and generative AI Skills :</b></p><p><br/></p><p>- Proficiency in programming languages such as Python, R, or Java.</p><p><br/></p> - Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and </p><p>libraries for deep learning.<br/><br/></p><p> - Strong understanding of generative AI techniques, including deep generative models and </p><p>reinforcement learning.<br/><br/></p><p> - Expertise in CI/CD pipeline design and management, particularly in the context of generative AI.<br/><br/></p><p> - Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Management Skills :</b></p><p><br/></p><p>- Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Skills :</b></p><p><br/></p><p>- Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.g., ChatGPT).</p><p><br/></p> - Understanding of AI agents for decision-making and deployment of complex applications.<br/><br/></p><p> - Experience in the commercial domain or specific industry knowledge (e.g., Skills :</b></p><p><br/></p><p>- Exceptional communication and collaboration abilities to work effectively with cross-</p><p>functional teams.</p><p><br/></p> - Strong problem-solving skills combined with critical thinking to analyze complex challenges.<br/><br/></p><p> - Ability to present findings and strategies clearly to leadership and stakeholders.</p><br/></p> (ref:hirist.tech)