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Accenture

Advises businesses and runs their technology

AI Architect - Multiple Teams

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

About the Job

Requirements

  • Seven to ten years of strategy consulting experience at a consulting firm.
  • At least five years designing and building end-to-end enterprise AI and generative AI strategic solutions using cloud and non-cloud platforms, including Google Vertex AI or Gemini, Azure AI or Copilot, Claude, Amazon Bedrock, IBM Watson, DataRobot, or equivalent.
  • A strong understanding of traditional AI, generative AI, agentic AI, multi-agent orchestration, and advanced cognitive methods for deriving insights and actions.
  • Demonstrated ability to design agentic AI workflows, including large language model architecture, prompt engineering, workflow automation, and AI agent design for production environments.
  • At least five years writing quantitative and qualitative business cases for strategic business initiatives or AI and data transformation, including value realization and AI governance frameworks.
  • Working knowledge of formulating guiding principles and platform components, with expertise in responsible AI frameworks, including bias, explainability, and regulatory compliance.
  • At least five years leading or managing large teams, including planning and structuring analytical work, facilitating team workshops, developing AI strategy recommendations, and developing proofs of concept.
  • A deep understanding of the data supply chain and its role in AI productionization and scaled deployment.
  • Practical knowledge of IT and enterprise architecture concepts, including cloud, API-first architecture, retrieval-augmented generation, model context protocol, agent orchestration, MLOps, and observability.
  • An MBA from a tier-one institute is preferred.
  • Strong understanding of at least one of these industries is preferred: financial services, retail, consumer goods, telecommunications, life sciences, transportation, automotive or industrial.
  • Cloud AI practitioner certifications in Azure, AWS, or Google are desirable but not essential.

Responsibilities

  • Identify high-value business processes where agentic AI can eliminate friction and create measurable value, using process analysis, business process mapping, process mining, and value-led prioritization frameworks across target industries.
  • Design agentic workflows, multi-agent orchestration, and AI agent architecture for production deployment; select frameworks such as LangChain, AutoGen, or CrewAI, or equivalent.
  • Design and guide enterprise-wide AI and generative AI strategy for clients, using cloud AI platforms and open-source models.
  • Guide implementation from advisory and prototype through production-grade scaled AI deployment, covering AI productionization, MLOps, AI governance, model monitoring, change management, and value realization frameworks.
  • Engage clients on responsible AI and generative AI frameworks, including bias detection, explainability, and fairness, and guide recommendations that address regulatory compliance.
  • Define AI use-case-driven value realization frameworks and build quantitative and qualitative business cases relevant to the client's industry; benchmark against global research and leading industry peers.
  • Help design and lead proofs of concept and high-level AI or generative AI analytics solutions to derive insights from data; collaborate with business experts, platform engineers, and technology teams on prototyping and client implementations.
  • Conduct discovery workshops and design sessions to identify AI and generative AI opportunities and client pain points; present and create content for C-level discussions.
  • Assess the impact of proposed solutions on client technology landscapes and architecture, and formulate guiding principles and platform components.
  • Manage budgeting and forecasting activities and build financial proposals for AI transformation engagements.

Desired Qualifications

  • Cloud AI practitioner certifications in Azure, AWS, or Google are desirable but not essential.
  • Strong understanding of at least one of these industries is preferred: financial services, retail, consumer goods, telecommunications, life sciences, transportation, automotive or industrial.

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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