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Technology Architect

Technology Architect

Accenture

8 - 11 years

15 - 19 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

subject matter expert mlops emerging technologies data analytics ai solutions ai enterprise architecture system software data architecture machine learning artificial intelligence cloud ai analytics cloud ai services architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role
Project Role :Technology Architect
Project Role Description :Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security.
Must have skills :Enterprise Architecture Framework
Good to have skills :CommerceTools Commerce Platform
Minimum 15 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:As an AI Architect, you will be responsible for designing and delivering AI architectures for platforms, products, or client engagements. You will define solutions to meet performance, capability, and scalability needs, and contribute to the success of AI-driven projects across the organization.
Roles & Responsibilities:

Act as a subject matter expert (SME) with deep knowledge and experience in AI and data strategy.

Influence and advise on AI solution design and technology choices.

Lead technical decisions for the AI team and ensure alignment with business objectives.

Engage with multiple teams and contribute to key architectural decisions.

Provide solutions to complex AI challenges that impact multiple teams.

Lead technology discussions and provide strategic guidance on AI adoption.

Collaborate with stakeholders to understand business requirements and translate them into AI solutions.

Develop and maintain technology roadmaps for AI projects
Professional & Technical Skills:

Must Have:Proficiency in Data & AI Strategy.

Strong understanding of data analytics, machine learning, and artificial intelligence.

Experience designing and implementing AI and data strategies.

Knowledge of emerging technologies in the AI and data domain.

Hands-on experience with data architecture, model development, and deployment.

Familiarity with cloud AI services and MLOps best practices..
Additional Information:

Minimum 15 years of experience in Data & AI Strategy.

15 years of full-time education required.
Qualification15 years full time education

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Technology Architect