IBM watsonx Engineer (Hyderabad)

Job Description IBM watsonx Engineer Location: Hyderabad (Onsite) Job Type: Permanent Experience: 25 Years About the Role We are looking for a skilled IBM watsonx Engineer with hands-on experience in designing, developing, and supporting AI-powered enterprise applications using IBM watsonx services. The ideal candidate should have expertise in , , , Python, and AI model lifecycle management to deliver secure, scalable, and governed AI solutions. Key Responsibilities - Design, develop, and deploy AI-powered enterprise applications using IBM and IBM Granite Models. - Build and manage AI solutions using for enterprise data management, retrieval, and AI workloads. - Implement AI governance, compliance, model monitoring, and Responsible AI practices using . - Develop, deploy, evaluate, and monitor machine learning, foundation models, and generative AI solutions throughout the AI model lifecycle. - Develop AI workflows and enterprise applications using Python, REST APIs, and IBM AI services. - Build Retrieval-Augmented Generation (RAG) applications and integrate vector databases with enterprise knowledge sources. - Integrate IBM watsonx solutions with enterprise applications, databases, cloud platforms, and third-party systems. - Optimize AI model performance, scalability, reliability, security, and cost efficiency. - Collaborate with business, data, and engineering teams to deliver AI-driven business solutions. - Troubleshoot production issues and provide ongoing support for AI applications. - Prepare technical documentation and follow IBM AI development best practices. Required Skills - Hands-on experience with IBM - Experience with - Experience with - Strong proficiency in Python - Understanding of AI model lifecycle management - Experience integrating enterprise applications using REST APIs - Knowledge of AI/ML, Generative AI, LLMs, and enterprise AI platforms - Robust analytical, debugging, and problem-solving skills Preferred Skills - Experience with IBM Granite Models, watsonx Assistant, and watsonx Orchestrate - Experience with IBM Cloud Pak for Data, IBM Watson Studio, Prompt Lab, and AutoAI - Experience building Retrieval-Augmented Generation (RAG) solutions using Vector Databases - Experience with Prompt Engineering, Lang Chain, Llama Index, or similar AI orchestration frameworks - Experience with MLflow, Kubeflow, MLOps, or Model Ops - Experience with Docker, Kubernetes, Open Shift, Git, and CI/CD pipelines - Experience with cloud platforms such as IBM Cloud, AWS, Azure, or Google Cloud Platform (GCP) - IBM certifications related to watsonx, IBM Cloud, Cloud Pak for Data, or AI Engineering are preferred - Familiarity with Agile/Scrum methodologies - Excellent communication and stakeholder management skills Experience - 25 years of overall IT experience. - Minimum 12 years of hands-on experience with IBM watsonx, IBM Watson AI, IBM Cloud, Cloud Pak for Data, or closely related AI technologies. Candidate Details Required Please share the following details along with your updated resume: - Total Experience: - Relevant Experience in IBM watsonx: - Relevant Experience in /: - Current Employer: - Current CTC: - Expected CTC: - Notice Period: - Current Location: - Willing to work from the Hyderabad office (Yes/No) Interested candidates can share their updated resume at:[HIDDEN TEXT] Job Description IBM watsonx Engineer Location: Hyderabad (Onsite) Job Type: Permanent Experience: 25 Years About the Role We are looking for a skilled IBM watsonx Engineer with hands-on experience in designing, developing, and supporting AI-powered enterprise applications using IBM watsonx services. The ideal candidate should have expertise in , , , Python, and AI model lifecycle management to deliver secure, scalable, and governed AI solutions. Key Responsibilities - Design, develop, and deploy AI-powered enterprise applications using IBM and IBM Granite Models. - Build and manage AI solutions using for enterprise data management, retrieval, and AI workloads. - Implement AI governance, compliance, model monitoring, and Responsible AI practices using . - Develop, deploy, evaluate, and monitor machine learning, foundation models, and generative AI solutions throughout the AI model lifecycle. - Develop AI workflows and enterprise applications using Python, REST APIs, and IBM AI services. - Build Retrieval-Augmented Generation (RAG) applications and integrate vector databases with enterprise knowledge sources. - Integrate IBM watsonx solutions with enterprise applications, databases, cloud platforms, and third-party systems. - Optimize AI model performance, scalability, reliability, security, and cost efficiency. - Collaborate with business, data, and engineering teams to deliver AI-driven business solutions. - Troubleshoot production issues and provide ongoing support for AI applications. - Prepare technical documentation and follow IBM AI development best practices. Required Sk