Senior Gen AI Specialist

Hi , We are hiring for Senior Gen AI Specialist Please find the JD below: REQUIREMENT SUMMARY The Senior Generative AI Specialist role is positioned within a leading consulting firm in Hyderabad, focusing on the intersection of advanced AI technologies and practical business solutions. As a Level 5 role, the specialist is expected to leverage 9-12 years of experience to ensure the successful implementation and advisement of AI-driven projects. Description At least 10 years of professional experience in AI, automation, and cloud technologies, with a proven track record of delivering enterprise-scale AI solutions. Strong proficiency in Python and experience with microservices architecture, distributed systems, and integration. Deep knowledge of Agentic AI and Generative AI frameworks such as LangChain and LlamaIndex. Expertise in Prompt Engineering and Retrieval-Augmented Generation (RAG) architectures. Hands-on experience with cloud-based AI deployments on platforms like AWS, Azure, or Google Cloud Platform (GCP). Demonstrated success in leading technical teams and mentoring junior engineers, with strong communication and stakeholder management skills. Familiarity with workflow automation platforms, orchestration tools, and MLOps practices. Key Responsibilities Design, develop, and deploy intelligent systems using advanced Generative AI frameworks, ensuring robust and scalable solutions. Implement Retrieval-Augmented Generation (RAG) pipelines to enhance enterprise-grade knowledge systems. Architect and optimize workflow automation solutions across diverse business processes, improving operational efficiency. Build and integrate scalable applications using Python, focusing on microservice architectures for enhanced modularity. Ensure seamless deployment of AI solutions across major cloud platforms such as AWS, Azure, and GCP, optimizing for performance and cost-effectiveness. Drive strategies for microservice integration, fostering resilient architectures that support business growth. Collaborate with cross-functional teams to integrate AI capabilities into existing enterprise systems, enhancing overall service offerings. Lead and mentor technical teams, fostering a culture of innovation and continuous improvement, while aligning solutions with business goals. Requirements Bachelors or Masters degree in Computer Science, Engineering, or a related field. Hi , We are hiring for Senior Gen AI Specialist Please find the JD below: REQUIREMENT SUMMARY The Senior Generative AI Specialist role is positioned within a leading consulting firm in Hyderabad, focusing on the intersection of advanced AI technologies and practical business solutions. As a Level 5 role, the specialist is expected to leverage 9-12 years of experience to ensure the successful implementation and advisement of AI-driven projects. Description At least 10 years of professional experience in AI, automation, and cloud technologies, with a proven track record of delivering enterprise-scale AI solutions. Strong proficiency in Python and experience with microservices architecture, distributed systems, and integration. Deep knowledge of Agentic AI and Generative AI frameworks such as LangChain and LlamaIndex. Expertise in Prompt Engineering and Retrieval-Augmented Generation (RAG) architectures. Hands-on experience with cloud-based AI deployments on platforms like AWS, Azure, or Google Cloud Platform (GCP). Demonstrated success in leading technical teams and mentoring junior engineers, with strong communication and stakeholder management skills. Familiarity with workflow automation platforms, orchestration tools, and MLOps practices. Key Responsibilities Design, develop, and deploy intelligent systems using advanced Generative AI frameworks, ensuring robust and scalable solutions. Implement Retrieval-Augmented Generation (RAG) pipelines to enhance enterprise-grade knowledge systems. Architect and optimize workflow automation solutions across diverse business processes, improving operational efficiency. Build and integrate scalable applications using Python, focusing on microservice architectures for enhanced modularity. Ensure seamless deployment of AI solutions across major cloud platforms such as AWS, Azure, and GCP, optimizing for performance and cost-effectiveness. Drive strategies for microservice integration, fostering resilient architectures that support business growth. Collaborate with cross-functional teams to integrate AI capabilities into existing enterprise systems, enhancing overall service offerings. Lead and mentor technical teams, fostering a culture of innovation and continuous improvement, while aligning solutions with business goals. Requirements Bachelors or Masters degree in Computer Science, Engineering, or a related field.