The Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world's current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies.

Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world's growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all.

The AI Observability Principal Architect is responsible for defining and delivering end-to-end observability and AIOps capabilities across enterprise applications and platforms. The role focuses on enabling proactive detection, intelligent event correlation, and automated incident response, improving system reliability and operational efficiency.

This role will lead observability strategy, standardization, and implementation across teams, ensuring clear visibility into system health, business workflows, and performance outcomes. The lead will work closely with SRE, application, infrastructure, and service management teams to embed outcome-driven observability (CUJs, SLIs/SLOs) and drive continuous improvement in incident detection and resolution.

Assignment Deliverables

Define and implement observability strategy, standards, and roadmap
Establish telemetry framework (logs, metrics, traces) and instrumentation standards
Define Critical User Journeys (CUJs) and map Service Level Indicators (SLIs) / SLOs
Enable actionable alerting aligned to user/business impact
Implement alert-to-incident automation with correct routing and ownership
Drive AIOps capabilities:
Event correlation and alert noise reduction
Root-cause-based incident generation
Predictive detection and anomaly identification
Build and optimize observability dashboards for operations and leadership visibility
Enable automation and self-healing playbooks for recurring incidents
Lead major incident support and post-incident improvements
Ensure continuous improvement through observability lifecycle management

Required Skills

18+ years experience in IT Operations / SRE / Observability / Platform Engineering
Strong expertise in:Observability (logs, metrics, traces, distributed tracing)SRE practices (SLIs, SLOs, error budgets),Incident management and automation
Experience in AIOps / Event Management: Event correlation, alert deduplication, noise reduction
Hands-on experience with observability platforms and ITSM integrations
Strong understanding of: Distributed systems and cloud environments and Telemetry pipelines and data integration
Experience in designing automation workflows, runbooks, and self-healing mechanisms
Strong stakeholder management and ability to work across application, infra, and operations teams

Nice to Have

Experience with Azure observability stack / OpenTelemetry
Experience with ServiceNow ITOM / AIOps
Exposure to AI-driven observability (anomaly detection, predictive analytics)
Experience in building executive dashboards and reporting frameworks

Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm.

What we can offer you

Everything we do at Chevron is guided by our values and our commitment to The Chevron Way .

Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.

Join a workplace where innovation, collaboration and safety are at the core of how we work.
Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.
Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron's values and business priorities.
Access comprehensive benefits that support your health, well-being, and work-life balance.
Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.

how to apply

To be a part of our success, click APPLY to submit your application.

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

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Please access the Global Application Statements , select the country where you are applying for employment. By applying, you acknowledge that you have read and agree to the country specific statement.

"ENGINE" refers to the Chevron Engineering and Innovation Excellence Center, which operates under Chevron Global Technology and Services Private Limited, an affiliate of Chevron Corporation. References to ENGINE in this document are for convenience only and do not denote a separate legal entity.

This job advertisement is intended to provide a general overview of the role and workplace environment. Role details and outcomes may vary based on business needs and individual performance.

Privacy Terms and Conditions

We respect the privacy of candidates for employment. This Privacy Notice sets forth how we will use the information we obtain when you apply for a position through this career site. If you do not consent to the terms of this Privacy Notice, please do not submit information to us.

Please access the Global Application Statements , select the country where you are applying for employment. By applying, you acknowledge that you have read and agree to the country specific statement.

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AI Observability Principal Architect

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