SURE/ Domain Specialist – Maintenance, Reliability & Inspection (Oil & Gas)

Infosys Limited; Houston (TX); Sur place; USD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Disability coverage

Health reimbursement

Insurance

401(k) plan

Résumé du poste

Infosys Limited in Houston, TX seeks a hands-on Domain Specialist for Maintenance, Reliability & Inspection in Oil & Gas. The role links field expertise with data and AI, guiding teams from discovery to adoption and building client-facing capabilities for a Forward Deployed Engineer path in 2–3 years.

You will drive workshops, translate domain needs into actionable data requirements, and shape AI-enabled maintenance strategies across upstream, midstream or downstream operations.

Qualifications

• 8–10 years in maintenance, reliability, asset integrity or inspection in Oil & Gas.
• Strong knowledge of root cause analysis, FMEA, RCM, condition monitoring, RBI, defect management and maintenance work processes.
• Understanding of rotating/fixed equipment, degradation, operating envelopes, and reliability indicators.
• Experience with data systems: sensors, time-series data, inspection records, work orders, failure history, engineering documents.
• Ability to assess physics-based, statistical and ML model outputs for relevance, explainability and safety.
• Familiar with AI capabilities: predictive analytics, anomaly detection, knowledge graphs, workflow automation.
• Strong communication with client SMEs and technical/non-technical stakeholders; lead workshops.
• Progress governance: plan discovery/design/validation, adoption and measurable outcomes.

Responsabilités

• Serve as domain authority for maintenance, reliability and inspection across oil & gas operations.
• Map end-to-end workflows from anomaly detection to root cause analysis and action.
• Engage client SMEs, engineers, operators and leaders to clarify priorities and validate approaches.
• Plan and facilitate discovery, design and validation workshops to uncover requirements and value.
• Translate needs into use cases, data requirements, business rules and solution designs.
• Identify AI, analytics and automation opportunities to accelerate investigations and actions.
• Evaluate model outputs for operational relevance, safety and engineering validity.
• Collaborate with product, data, AI and software teams to prototype, test, deploy and improve solutions.
• Support data readiness, solution validation, UAT, rollout and end-user adoption.
• Define success measures for downtime, reliability, investigation speed and costs.
• Troubleshoot pilots, deployments and adoption issues across client and tech teams.
• Document decisions, patterns and domain assets; contribute to proposals and demos.

Description du poste

SURE/ Domain Specialist – Maintenance, Reliability & Inspection (Oil & Gas)

Domain

Consulting

Interest Group

Company

ITL USA

Requisition ID

155066BR

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.

Additional Required Qualifications

• Experience with enterprise asset management and maintenance systems such as SAP PM, IBM Maximo, or equivalent platforms.
• Exposure to historians, analytics platforms, data products, dashboards, cloud services, APIs, SQL, Python, or low-code tools.
• Experience delivering digital transformation, AI, asset performance management, or connected-worker solutions in an asset-intensive industry.
• Familiarity with Agile delivery, product management, DevOps/MLOps concepts, cybersecurity, data governance, and production support.
• Relevant certifications in reliability, inspection, maintenance management, data, cloud, or AI.
• Bachelor’s degree in mechanical, Chemical, Petroleum, Industrial, or a related engineering discipline. A master’s degree or relevant professional certification is advantageous.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.