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Accenture

Advises businesses and runs their technology

Technology Architect

AI Application EngineeringPosted on Nov 12
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A minimum of 18 years of experience is required.
  • 15 years of full-time education is required.
  • Experience building agents with at least one framework and one managed cloud agent service, with an agent solution taken to production or an advanced pilot.
  • Knowledge of enterprise agent platform strategy, including a central agent registry, gateway, identity, and governance across business units.
  • Knowledge of an agent operating model defining who builds, approves, and monitors agents.
  • Knowledge of agent standards and interoperability, including MCP and A2A, and how to avoid lock-in to one model or cloud.
  • Knowledge of agent safety, audit, and responsible-AI controls.
  • A broad understanding of AWS, Azure, and Google Cloud, with hands-on depth in at least one.
  • Knowledge of AWS Bedrock AgentCore, Azure Foundry, and Google Gemini Enterprise Agent Platform, including their strengths, limitations, and appropriate use cases.
  • Experience designing multi-cloud and hybrid environments.
  • Executive presence and credibility with engineers and senior leaders.
  • Ability to win and shape large engagements.
  • Ability to build agent solutions hands-on and demonstrate recent working solutions.
  • Automation in application development is required.

Responsibilities

  • Follow market, technology, and industry trends and turn them into client opportunities, offerings, and solution ideas.
  • Meet with client CXOs, CTOs, and CIOs to understand their priorities and shape engagements around business goals.
  • Review clients' business and technology positions to identify where agentic AI can help, including quick wins and a long-term roadmap.
  • Define the practice's agent platform strategy, reference architectures, and reusable accelerators.
  • Advise clients on cloud choice, multi-cloud and hybrid setups, and build, buy, or partner decisions.
  • Own the architecture of large, multi-team programs and ensure it meets volume, performance, security, reliability, and cost needs.
  • Lead proposals, pricing, estimates, and executive presentations to support deal closure.
  • Set governance, risk, compliance, and responsible-AI practices, including agent identity, audit trails, data location, and model risk.
  • Define and report platform measures to senior leaders, including adoption, reliability, cost per task, and business value.
  • Build prototypes and demos with agent frameworks and agentic IDEs, and review code and designs on key programs.
  • Build partnerships with cloud and AI vendors.
  • Mentor architects and engineering leads and grow the talent pipeline.
  • Design and deliver technology architecture for a platform, product, or engagement, and define solutions to meet performance, capability, and scalability needs.

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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