Technology OpS Support Practitioner

Technology OpS Support Practitioner Location: Bengaluru Project Role : Technology OpS Support Practitioner Project Role Description : Own the integrity and governance of systems, including best practices for delivering services. Develop, deploy and support infrastructures, applications and technology initiatives from an architectural and operational perspective in conjunction with existing standards and methods of delivery. Must have skills : AI & Data Solution Architecture Good to have skills : IT Infrastructure Operations, Value Engineering (VE) Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Role Summary AI Powered Tech Talent Leads the design and adoption of AI first Run Operations, applying GenAI and Agentic AI to real production problems such as incident reduction, noise elimination, and self healing. This role is deeply grounded in enterprise production operations, combining observability led thinking, agentic orchestration, and ITSM aware governance to deliver measurable operational outcomes, not PoCs or dashboards. Acts as a senior technical and operational authority, able to reason in ambiguity and operate effectively in complex, imperfect Run environments. Key Responsibilities AI First Run Operations - Apply GenAI and Agentic AI to day to day Run problems, including incident reduction, alert noise elimination, and self healing - Focus on production outcomes, not experimentation (MTTR reduction, ticket deflection, automation coverage) - Design AI solutions that augment Run teams while preserving operational trust and accountability Agentic Orchestration & Automation - Decompose complex Run workflows (incident diagnosis remediation validation) into agent driven, orchestrated steps - Design agent interactions across diagnostic, remediation, and validation stages - Replace static runbooks with dynamic, agent orchestrated workflows Observability Led Operations - Use signals (metrics, logs, traces, events) to prevent incidents, not just react to them - Apply observability data to guide AI reasoning, hypothesis testing, and remediation decisions - Ensure observability is outcome driven, not tool driven ITSM Aware AI Implementation - Ensure AI solutions integrate with Incident, Problem, and Change processes - Prevent AI from bypassing governance, controls, or operational approval flows - Align AI automation with enterprise Run policies and service accountability Production Operations Leadership - Operate confidently in enterprise production environments with SLAs, major incidents, and change windows - Bring strong understanding of operational risk, stability, and client accountability - Reason and iterate effectively in messy, ambiguous environments with incomplete data Outcome Driven Delivery - Maintain a strict focus on measurable operational outcomes, not cool AI features - Continuously evaluate and refine AI effectiveness based on Run performance signals - Balance speed, automation, and resilience in live production contexts Required Skills & Experience AIOps & AI Capability - Strong understanding of applying GenAI and Agentic AI to Run operations - Ability to design agent orchestrated operational workflows - Practical understanding of AI limitations and failure modes in production Run & Operations Depth - Hands on experience with enterprise Run operations, SLAs, incidents, and change management - Strong understanding of ITSM processes and governance - Observability led mindset across metrics, logs, traces, and events Problem Solving & Ambiguity - Comfortable working with incomplete, noisy, or imperfect operational data - Strong reasoning and hypothesis driven troubleshooting skills - Ability to iterate quickly and safely in live environments Career Level Expectations CL7 - Acts as a senior AIOps authority across Run organizations - Shapes how AI is applied safely and effectively in production operations - Influences Run transformation without being tool or vendor centric - Balances innovation with operational stability and trust Success Measures - Reduction in incident volume and alert noise - Improved MTTR and operational resilience - Increased automation and self healing coverage - High trust in AI assisted Run operations from service leadership Resource needs to be AI Ready. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us atwww.accenture.com Equal Employment Opportunity Statement