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Infosys

Domain Specialist - Maintenance, Reliability & Inspection (Oil & Gas)

HoustonPosted 19 days ago

Apply on company site View full job

We are seeking a hands-on domain specialist in maintenance, reliability, Operations and inspection who can connect operational expertise with data, engineering, and AI delivery. The role will translate field and engineering challenges into deployable solutions, guide multidisciplinary teams from discovery through adoption, and build the client-facing and technical capabilities needed to progress into a Forward Deployed Engineer role within 2-3 years. Key Responsibilities

Serve as the domain authority for maintenance, reliability, and inspection processes across upstream, midstream, or downstream operations.
Map end-to-end workflows from anomaly detection through root cause analysis, decision-making, and corrective or preventive action.
Engage client SMEs, engineers, operators, and business leaders to understand operational challenges, clarify priorities, and validate solution approaches.
Plan and facilitate discovery, design, and validation workshops using structured questioning to uncover requirements, pain points, constraints, and value opportunities.
Translate domain needs into use cases, user stories, data requirements, business rules, acceptance criteria, and solution designs for data and engineering teams.
Identify opportunities for AI, analytics, and automation to accelerate root cause analysis, predict failures, recommend actions, and improve maintenance execution.
Evaluate data-driven and physics-based model outputs for operational relevance, explainability, safety, and engineering validity.
Partner with product, data, AI, and software engineering teams to prototype, test, deploy, and continuously improve solutions in the client environment.
Support data readiness assessments, solution validation, user acceptance testing, rollout, training, and adoption with end users.
Define success measures and track business outcomes such as reduced downtime, improved reliability, faster investigation, inspection efficiency, and avoided cost.
Troubleshoot functional, data, workflow, and adoption issues during pilots and production deployment, coordinating resolution across client and technical teams.
Document decisions, reusable patterns, lessons learned, and domain assets; contribute to proposals, demonstrations, and solution discussions.

Required Skills and Experience

8-10 years of experience in maintenance, reliability, asset integrity, or inspection within the Oil & Gas industry.
Strong knowledge of root cause analysis, FMEA, RCM, condition monitoring, risk-based inspection, defect management, and maintenance work processes.
Practical understanding of rotating or fixed equipment, degradation and failure mechanisms, operating envelopes, and key reliability and integrity indicators.
Working knowledge of equipment sensor and time-series data, inspection records, work orders, failure history, engineering documents, and master data.
Ability to assess the operational relevance of physics-based, statistical, and machine-learning models and challenge outputs constructively.
Awareness of modern AI capabilities, including predictive analytics, anomaly detection, knowledge graphs, generative AI, and workflow automation.
Ability to conduct credible technical conversations with client SMEs while communicating clearly with technical and non-technical stakeholders.
Proven experience leading workshops, resolving ambiguity, making practical trade-offs, and guiding decisions to clear outcomes.
Strong problem-solving, structured thinking, written communication, and executive presentation skills.
Comfort working in multidisciplinary, fast-paced teams with changing priorities and direct accountability for outcomes.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

About Infosys

https://www.infosys.com

Size: 10,000+ employees
Industry: Consulting

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