A

Accenture

Advises businesses and runs their technology

AI Architect Consultant - Multiple Teams

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

About the Job

Requirements

  • Three to five years of strategy consulting experience at a consulting firm.
  • At least two years designing and building end-to-end enterprise AI and Generative AI strategic solutions using cloud and non-cloud platforms such as Google Vertex AI or Gemini, Azure AI or Copilot, Claude, Amazon Bedrock, IBM Watson, DataRobot, or equivalent.
  • Understanding of traditional AI, Generative AI, Agentic AI, multi-agent orchestration, and advanced cognitive methods for deriving insights and actions.
  • Ability to design agentic AI workflows, including large language model architecture, prompt engineering, workflow automation, and AI agent design for production environments.
  • At least two 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 two years leading or managing large teams, including planning and structuring analytical work, facilitating team workshops, developing AI strategy recommendations, and developing proofs of concept.
  • Understanding of the data supply chain and how it enables AI productionization and scaled deployment.
  • Practical knowledge of information technology and enterprise architecture concepts, including cloud, API-first architecture, retrieval-augmented generation, model context protocol, agent orchestration, MLOps, and observability.

Responsibilities

  • Identify high-value business processes where Agentic AI can eliminate friction and unlock 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 appropriate frameworks such as LangChain, AutoGen, CrewAI, or equivalent.
  • Design and guide development of 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, fairness, and regulatory compliance, and guide recommendations.
  • Define an AI use-case-driven value realization framework and develop quantitative and qualitative business cases relevant to the client's industry; benchmark against global research and 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 areas; deliver presentations and create content for C-level discussions.
  • Assess impacts on clients' 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

  • Master of Business Administration from a tier-one institute.
  • Strong understanding of one or more of these industries: financial services, retail, consumer goods, telecommunications, life sciences, transportation, automotive or industrial, or equivalent.
  • Cloud AI practitioner certifications in Azure, AWS, or Google; desirable but not essential.

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

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs