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AI Architect

TATA Consultancy Services LimitedIrvine, CA🇺🇸United StatesPosted Sep 22, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Irvine, CA, United States
Posted
22 hours ago
SQLAWSETLMachine LearningGoogle CloudPythonTensorFlow

Job Description

Job Description
Job Title: AI Architect
Job Location: Irvine, CA (Onsite)
Years of experience required: 10+ Years (Mandatory)
Must Have Technical/Functional Skills
  • Strong communication skills to simplify complex AI concepts.
  • Shape and evolve the company’s AI strategy in alignment with business priorities.
  • Define vision, principles, and success metrics for AI adoption.
  • Act as an internal advocate and thought leader for responsible AI innovation.
  • Partner with departmental AI Champions to identify and prioritize high-value use case
  • Familiarity with responsible AI and ethical principles
  • Deep knowledge of AI/ML tools (e.g., Vertex AI, SageMaker).
  • AI Agentic experience, Google cloud, Python and SQL,Extensive experience building, deploying, and maintaining high-availability AI solutions in a large-scale production environment.
  • Expertise in cloud (AWS, Google Cloud Platform) and Data lake
Roles & Responsibilities
  • Design and develop AI architectures that meet business requirements and enhance operational efficiency.
  • Implement machine learning models using frameworks such as TensorFlow, Spark, and R.
  • Collaborate with data engineers to build ETL processes and ensure seamless data integration for model training.
  • Conduct data mining and analytics to extract meaningful insights from complex datasets.
  • Deploy models into production environments while ensuring scalability and performance.
  • Stay updated with the latest advancements in AI, machine learning, and related technologies.
  • Mentor junior team members on best practices in AI development and deployment.
  • Assess AI use cases for feasibility, impact, and risks.
  • Review and advise on AI/ML solution architecture, scalability, data quality, and security.
  • Identify and mitigate risks (privacy, bias, compliance)

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