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Accenture

Advises businesses and runs their technology

Consultant, GenAI Service Reinvention - Enterprise AI Value Strategy-EVS

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • An MBA from a Tier 1 institute with a focus in Customer Service, Strategy, or Technology.
  • For the senior-level scope: 10–15 years of experience, including at least 6 years in Customer Service operations and Contact Center channels, leading Customer Service operations assessment and benchmarking, and in-depth knowledge of Customer Service Strategy implementation.
  • For the alternate scope: 6–9 years of experience, including at least 3 years in Customer Service operations and Contact Center channels, leading Customer Service operations assessment and benchmarking, and in-depth knowledge of Customer Service Strategy implementation, Conversational AI, and agent enablement.
  • Hands-on experience with Agentic solutioning, conceptual architecture design, large language models, and generative AI frameworks such as Claude, OpenAI, Anthropic, Llama, and Vertex.
  • Proven experience creating and executing generative-AI-led service transformation strategies, particularly by leveraging platform generative AI capabilities.
  • In-depth knowledge of platform technology stacks, including agentic AI solutions, to support future-ready marketing organization strategies.
  • Experience managing C-suite stakeholders and identifying and driving new business in generative AI engagements.
  • A strong background in consulting and developing client-centric solutions that combine technology, AI, and data to address complex business challenges across customer experience and agent enablement.
  • Demonstrated expertise collaborating cross-functionally with technical teams, including solution architects and Data & AI teams, and business teams.
  • Experience in consultative selling and working directly with clients to design, propose, and deliver AI-enabled transformation roadmaps.
  • A solid understanding of change management methodologies and the ability to lead clients through upskilling, transformation, and technology adoption.
  • An analytical mindset and problem-solving skills to identify opportunities for AI-powered optimization in service processes.
  • Experience working with clients across industries such as telecommunications, securities and public markets, resources, retail, finance, and life sciences.
  • Excellent analytical and problem-solving skills with a data-driven mindset.
  • Familiarity with project management methodologies such as Agile and Waterfall.
  • Experience with conversational AI and agent enablement.
  • Basic understanding of SQL, Python, and Microsoft Office.
  • Ability to articulate and measure the business value of recommendations, plans, or strategies and KPI improvements across a value stream.
  • Ability to work on fast-paced, complex projects and understand industry-specific customer service processes, operations, and functional needs.

Responsibilities

  • Translate generative AI trends, agentic workflows, and ecosystem capabilities into practical, client-ready solutions.
  • Lead the development of transformation strategies that integrate generative AI and agentic solutions into client service environments.
  • Assess current service capabilities and define generative-AI-led reinvention roadmaps, next-generation operating models, future-fit capabilities, and process designs.
  • Engage clients in discussions about using large language models and agentic capabilities to strengthen existing business relationships and develop new opportunities.
  • Collaborate with solution architects, Data & AI teams, and platform subject-matter experts to design and implement scalable solutions.
  • Guide clients through designing and implementing future-fit, value-led service blueprints that use emerging technology and AI.
  • Drive consultative selling and client engagements, identifying opportunities to apply platform generative AI solutions to service challenges.
  • Develop business value cases connecting generative-AI-driven digital innovation to KPIs such as productivity, revenue, and customer satisfaction.
  • Use insights and intelligence to develop and solution generative AI use cases and storytelling strategies.
  • Build client relationships, influence decision-making, and guide clients through digital transformation in service.
  • Identify automation opportunities and design integrated agentic solutions aligned with clients' platform ecosystems.
  • Lead consultative solutioning and value-case development, and architect next-generation intelligent, insight-led, AI-powered digital solutions while influencing business, data, and technology stakeholders.

Desired Qualifications

  • Basic understanding of SQL and Python; knowledge of visualization tools such as Tableau and Power BI is preferred.
  • Techno-functional experience with AWS, Google, Salesforce CRM, Microsoft Copilot, Cognigy, or Cresta is beneficial.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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