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Technical Architect AI/ML

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Onsite

Technical Architect AI/ML

Tata Consultancy Services

Technical Architect AI/ML

Skills

Google Cloud PlatformMicroservicesMachine LearningAIComplianceDigital TransformationBusiness Transformation

2 months ago

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Important information


Contract type:

Permanent

Location:

Santa Ana, CA, USA

Work mode:

Onsite

Published on:

2 September 2026

What they need


Must Have Technical/Functional Skills

  • Must have 15+ years of experience in enterprise architecture, solution design, and

large-scale digital transformation programs.

  • Must have deep expertise in Google Cloud Platform (GCP), Vertex AI, Gemini, AI Agents, and

cloud-native architectures.

  • Must have extensive experience designing Enterprise AI, GenAI, Agentic AI, RAG, and multi-agent solutions.
  • Must have proven experience leading end-to-end architecture for mission-critical, scalable, and secure platforms.
  • Must have expertise in distributed systems, microservices, APIs, event-driven architectures, and platform engineering.
  • Must have strong experience in AI governance, responsible AI, security, compliance, and

enterprise adoption frameworks.

  • Must have experience driving executive stakeholder management, technology strategy, and

business transformation initiatives.

  • Must have experience leading global engineering teams, architects, and customer engagements

across multiple industries.

Roles & Responsibilities

  • Define and drive the enterprise AI and cloud architecture strategy for strategic customer engagements.
  • Lead large-scale AI transformation programs leveraging Gemini, Vertex AI, Agentic AI, and Google Cloud services.
  • Establish architecture standards, governance frameworks, and AI adoption roadmaps.
  • Engage with C-level executives to align technology investments with business outcomes.
  • Lead architecture reviews, technical due diligence, and solution assurance activities.
  • Design reference architectures, accelerators, reusable frameworks, and industry-specific AI solutions.
  • Mentor architects and engineering leaders while driving technical excellence across programs.
  • Collaborate with Google product, engineering, partner, and customer teams to shape strategic AI initiatives.

Salary Range: $150,000-$200,000 a year

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