17 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, support, and improve AI-enabled solutions, intelligent agents, automations, and digital services.
- Provide monitoring, incident management, troubleshooting, root cause analysis, problem management, service restoration, and continuous service improvement.
- Lead technically complex workstreams involving solution design, operational readiness, service transition, reliability, and supportability.
- Onboard project-built and citizen-developed solutions into SOM-managed services while ensuring security, compliance, governance, maintainability, and operability.
- Own operational excellence, observability, service reliability, and supportability across assigned applications, AI solutions, and services.
- Support Generative AI, Agentic AI, intelligent agents, retrieval-augmented solutions, enterprise copilots, and AI-driven automation use cases.
- Perform hands-on engineering focused on Intelligent Operations, AgentOps, automation of SOM processes, technical debt reduction, modernization, and operational tooling.
- Contribute to governance, FinOps, risk management, and support readiness for AI-enabled solutions.
- Mentor engineers and citizen developers and contribute to engineering standards and best practices.
Requirements
- 3–6 years of experience delivering, supporting, or enhancing AI-enabled applications, automation solutions, or digital services in an enterprise environment.
- Experience with AI, Machine Learning, Data Science, Generative AI, intelligent agents, copilots, enterprise AI platforms, or related technologies.
- Hands-on experience designing, developing, troubleshooting, and supporting business-critical applications and services through their operational lifecycle.
- Understanding of LLMs, prompt engineering, Retrieval-Augmented Generation, agent orchestration, AI monitoring, evaluation, and governance.
- Experience supporting production environments through monitoring, incident management, problem management, root cause analysis, change management, service restoration, and continuous improvement.
- Strong understanding of operability, reliability, supportability, security, compliance, and operational readiness for enterprise solutions.
- Practical experience with DevOps, CI/CD, source control, automation, and modern software engineering practices.
- Experience with Microsoft Copilot Studio, Azure AI Foundry, Databricks Mosaic AI, or comparable AI technologies is highly desirable.
- Experience with Power Platform and enterprise integration technologies such as Power Apps, Power Automate, Dataverse, Azure Functions, and Logic Apps is beneficial.
- Exposure to Databricks, Azure Data Factory, Microsoft Fabric, SQL, Power BI, AI operations, observability, FinOps, governance, and enterprise AI support models is advantageous.
- Relevant Generative AI, Azure AI, Databricks, Data Engineering, or Power Platform certifications are advantageous.
- A bachelor’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related discipline is required.
Benefits
- Flexible working hours and the possibility of remote or mobile working.
- Competitive starting salary and annual performance-related salary increase; compensation figures are not specified.
- Paid parental leave, including for non-birthing parents.
- Training and development programs and diverse national and international career opportunities.
- Values-led, diverse, and inclusive workplace with opportunities to collaborate with experienced colleagues.
- Mandatory online assessment through HireVue after application submission.
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About Shell
Shell is a public energy and petrochemicals company that explores, produces, refines, and markets oil, gas, LNG, chemicals, and power for consumers and businesses. It sells fuels, lubricants, and convenience retail through about 47,000 Shell-branded service stations and develops EV charging, biofuels, and renewables across more than 70 countries. Founded in 1907 and headquartered in London, it operates integrated upstream, downstream, and trading businesses at global scale.