Job descriptionAI Evangelist – SURE SegmentThe SURE (Services, Utilities, Resources & Energy) Industry Sector is seeking an experienced AI Evangelist to join its growing practice.ABOUT THE ROLEThe AI Evangelist for the SURE segment is a high-impact, cross-functional role designed to accelerate the adoption and growth of Artificial Intelligence across our Services, Utilities, Resources, and Energy client portfolio. Reporting directly to the SVP & Head of the SURE AI Council, this individual will serve as the primary AI catalyst—bridging Infosys’s enterprise-wide AI capabilities with the specific operational, commercial, and regulatory realities of the energy, utilities, mining, and resources industries.This is not a pure technological role. The AI Evangelist must be equally effective in a client boardroom, on sales pursuit, in a delivery review, and at an industry conference. The core mandate—comprising roughly 75% of the role—is hands-on execution: working shoulder-to-shoulder with Sales Leaders to shape and close AI deals, partnering with Delivery Leaders to drive AI initiatives from pilot to production, and connecting the full breadth of Infosys’s service lines into SURE client opportunities. The remaining focus is on AI thought leadership and external ecosystem engagement.KEY RESPONSIBILITIESSales Enablement & Revenue Growth (30%)Partner with SURE Sales Leaders and Client Partners on AI-focused pipeline building, deal shaping, and proposal development for key accounts across the energy and utilities landscape.Co-create outcome-based pricing models and value propositions for AI-led engagements, grounded in SURE domain-specific use cases such as Upstream and Downstream Operations Workbench, DERMS integration, predictive asset maintenance, and AI-augmented subsurface analytics.Lead or support AI-themed client workshops, art-of-the-possible sessions, and executive immersion events tailored to SURE industry contexts.Identify and qualify new AI revenue opportunities by connecting client pain points with Infosys service line capabilities across consulting, technology, digital, and BPO.Maintain a working pipeline view of AI opportunities across the SURE segment and report progress to the SURE AI Council.Develop AI sales playbooks, battle cards, and reusable proposal assets that enable SURE Client Partners to independently identify and qualify AI opportunities in their accounts.Delivery Collaboration & Execution Excellence (25%)Work closely with SURE Delivery Leaders and Program Managers to embed AI into active engagements, ensuring AI initiatives move from proof-of-concept to production at scale.Collaborate with delivery teams to define AI solution architectures, data readiness assessments, and MLOps / LLMOps frameworks appropriate for industrial and regulated environments (NERC CIP, PHMSA, EPA, etc.).Drive post-deployment value realization by establishing AI KPIs, ROI measurement frameworks, and client-facing success narratives.Serve as an escalation point and advisory resource when AI engagements face technical, organizational, or adoption challenges.Establish a repeatable AI delivery governance framework for SURE—covering intake, prioritization, resourcing, and stage-gate reviews—to ensure consistent execution quality across the segment’s AI portfolio.Cross-Infosys Service Line Integration (25%)Acquire and maintain deep working knowledge of all Infosys service lines and offerings—including but not limited to the Data, Analytics & AI (DNA) practice, Cloud Infrastructure Services, Enterprise Application Services (EAS), Infosys Topaz, Infosys Cobalt, Engineering Services, Consulting, Application Development & Maintenance, and Business Process Management.Act as the connective tissue between SURE and horizontal practices, ensuring the segment leverages the full breadth of Infosys’s AI and digital portfolio.Coordinate with the Service lines, Infosys AI Labs, and the Living Labs ecosystem to bring cutting-edge AI assets, accelerators, and platforms into SURE client contexts.Facilitate knowledge transfer between SURE and other Infosys industry verticals (Financial Services, Manufacturing, Life Sciences, etc.) to cross-pollinate AI use cases and best practices.Maintain a living catalog of Infosys AI assets, accelerators, and referenceable case studies mapped to SURE use cases—ensuring Sales and Delivery Leaders have ready access to the right capability for each client conversation. AI Strategy & Evangelism (10%)Champion Infosys’s AI vision across the SURE segment, translating enterprise AI strategy into sector-specific narratives for energy, utilities, mining, and resources clients.Track and synthesize emerging AI trends relevant to SURE sub-verticals—generative AI in upstream operations, predictive analytics in grid management, autonomous mining, AI-driven ETRM, and smart metering / AMI analytics—and distill them into actionable insights for the SURE AI Council.Act as the AI subject matter expert in SURE leadership forums, QBRs, and strategic planning sessions.Ecosystem & Industry Presence (10%)Represent Infosys SURE at select industry conferences (CERAWeek, DistribuTECH, ADIPEC, MINExpo) and maintain relationships with hyperscaler AI teams (Azure AI, AWS AI/ML, Google Cloud AI) and niche energy technology partners.Engage with analyst firms (HFS Research, Everest Group, IDC Energy Insights) to support Infosys SURE’s positioning in AI-focused industry assessments and rankings.BASIC QUALIFICATIONS20+ years of professional experience in IT services, management consulting, or Industry technology leadership, with at least 5 years focused on AI/ML, data analytics, or digital transformation.Demonstrated domain expertise in one or more SURE sub-verticals: Oil & Gas (upstream, midstream, downstream), Electric & Gas Utilities, Mining & Natural Resources, or Energy Services.Proven ability to work at the intersection of sales and delivery—shaping deals, influencing C-suite clients, and ensuring execution quality.Strong understanding of the enterprise AI technology landscape: machine learning platforms, generative AI (LLMs, RAG architectures), computer vision, NLP, MLOps, and data engineering.Experience with outcome-based or value-based commercial models in IT services or consulting engagements.Exceptional communication and storytelling skills—able to translate complex AI concepts into compelling business narratives for non-technical audiences.Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field. MBA or advanced degree preferred.Up to 40% (client sites, Infosys delivery centers, industry events)PREFERRED QUALIFICATIONSPrior experience at a Tier-1 IT services firm (Infosys, Accenture, TCS, Wipro, Cognizant) or a Big 4 consultancy or similar Industry Leadership roles on Digital, AI and Data.Familiarity with Infosys’s AI ecosystem: Infosys Topaz, Infosys Nia, AI-first core transformation methodology, and the DNA practice structure.Hands-on or advisory experience with industry-specific platforms: OSIsoft PI / AVEVA, SAP S/4HANA for Utilities, Quorum / Openlink ETRM, Oracle Utilities, GE Vernova / Grid Solutions, ESRI GIS, or similar.Track record of published thought leadership (articles, conference talks, whitepapers) on AI in the energy or industrial sector.Certifications in cloud AI platforms (Azure AI, AWS ML Specialty, GCP Professional ML Engineer) are a plus. 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.
