7 Prompt Management Jobs

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Key Responsibilities Design, implement, and optimize MLOps/AI Ops architectures supporting scalable AI/ML solutions. Build and manage cloud-native infrastructure using Azure, Kubernetes, Docker, Terraform, and CI/CD pipelines. Lead end-to-end AI/ML lifecycle operations, including data ingestion, model training, versioning, deployment, and monitori...

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Key Responsibilities Design, implement, and optimize MLOps/AI Ops architectures supporting scalable AI/ML solutions. Build and manage cloud-native infrastructure using Azure, Kubernetes, Docker, Terraform, and CI/CD pipelines. Lead end-to-end AI/ML lifecycle operations, including data ingestion, model training, versioning, deployment, and monito...

As a Sprinklr Architect, your role will involve leading the design, implementation, and optimization of Sprinklr solutions to meet business objectives. You will be responsible for architecting scalable and high-performance Sprinklr Unified-CXM/CCaaS environments for complex deployments. Your key responsibilities will include: - Guiding the configuration, customization, and integration of Sprinklr modules such as social listening, engagement, analytics, and automation. - Providing strategic technical guidance on voice architecture, call flows, data architecture, API integrations, and cloud deployments. - Collaborating with internal stakeholders and Sprinklr's ecosystem to validate and transla...

As a Sprinklr Architect, your role will involve leading the design, implementation, and optimization of Sprinklr solutions to align with business goals. Your responsibilities will include: - Architecting scalable, high-performance Sprinklr Unified-CXM/CCaaS environments for complex deployments. - Guiding configuration, customization, and integration of Sprinklr modules such as social listening, engagement, analytics, and automation. - Providing strategic technical guidance on voice architecture, call flows, data architecture, API integrations, and cloud deployments. - Collaborating with internal stakeholders and Sprinklr's ecosystem to validate and translate requirements into technical solut...

About us KPMG Delivery Network India (KDNI) is a diverse entity spread across multiple cities in India. We are an important part of the KPMG Delivery Network (KDN), a global organization that supports KPMG member firms in delivering global priority solutions to their clients across a number of different industries. Our team of over 3,000 professionals in India are known for their technical acumen and business insights, that come together to deliver exceptional client service. When you join KDN, you'll be a part of the wider KPMG global network working alongside some of our profession's most skilled practitioners on rewarding programs and initiatives that are changing the way business operate...

In this role, you will lead governance frameworks and drive adoption through communication, enablement, and active marketing campaigns including community building, hackathons, showcases, and enterprise social engagement to ensure safe, compliant, and high-impact use of AI across the organization. - Define, socialize, and maintain AI governance policies, standards, and guardrails aligned with regulatory and internal controls (e.g., model risk, data privacy, security, responsible AI principles). - Establish clear guidance for LLMs, RAG, prompt usage, data handling, and human-in-the-loop. - Operate and optimize AI risk assessment processes, model registers, and approval workflows. - Partner wi...

You should have at least 5 to 10 years of overall work experience, including a minimum of 1 year in Generative AI. As a Backend Developer focusing on Generative AI applications, your responsibilities will include: - Developing and maintaining scalable backend services using Java and Spring Boot - Designing and implementing APIs for LLM integration and AI agent orchestration - Building microservices architecture to support RAG systems and LLM-powered applications - Implementing caching strategies and optimization for vector database operations - Integrating with multiple LLM providers and managing API rate limiting and failover mechanisms - Developing real-time streaming capabilities for conv...