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Accenture

Advises businesses and runs their technology

Technology Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 12 years of experience is required; the posting further specifies 12–16 years in the AI/ML field.
  • A minimum of 15 years of full-time education is required.
  • Knowledge of Agentic AI architecture frameworks, including autonomous agents for simulation in manufacturing or engineering.
  • Domain knowledge in manufacturing operations, such as automotive, discrete manufacturing, consumer packaged goods, or life sciences.
  • Knowledge of generative AI, vision-language models, large language models, Agentic AI, and architecture frameworks including autonomous agents for simulation in manufacturing or engineering.
  • Significant experience in AI, machine learning, and data science, with a proven record of successful AI implementations.
  • Deep understanding of AI technologies, algorithms, and computational statistics.
  • Proficiency in Python, R, and Java; applied mathematics; machine learning and deep learning frameworks such as TensorFlow; and machine learning techniques such as random forests and neural networks.
  • Understanding of machine learning and deep learning workload workflows and pipeline architectures, including data management, governance, model building, deployment, production workflows, and architectural trade-offs.
  • Knowledge of software engineering and DevOps principles, DevOps workflows, and tools such as Git, containers, Kubernetes, and continuous integration/continuous delivery.
  • Good communication skills and ability to manage team members.

Responsibilities

  • Design and deliver technology architecture for a platform, product, or engagement, defining solutions that meet performance, capability, and scalability needs.
  • Design, develop, and oversee implementation of artificial intelligence solutions within the organization.
  • Strategize the use of AI to solve complex business challenges, integrate AI systems with existing infrastructure, and lead initiatives to innovate and improve through AI technologies.
  • Design data architectures that support effective deployment of AI models, including selecting data storage technologies, applying data-cleansing strategies, and designing data pipelines.
  • Integrate AI technologies with existing systems and databases while maintaining data integrity and system performance.
  • Continuously evaluate and refine AI systems to ensure they deliver desired outcomes and remain current with technological advancements.

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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