Google AI Architect

1 week ago

Bengaluru, Karnataka, India Movate Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job title
:
Google AI Architect

Location:
Bangalore, Chennai, Hyderabad and Pune

Experience:
14+ Years

Summary:

We are seeking a highly experienced
Google AI Architect
to lead the design, development, and deployment of advanced AI/ML solutions leveraging
Google Cloud Platform (GCP)
and
Vertex AI
. The ideal candidate will have a strong background in enterprise architecture, cloud-native AI/ML systems, and a proven track record of driving end-to-end AI transformation initiatives across industries.

Roles and Responsibilities:

  • Define and drive
    AI/ML architecture strategies
    using GCP services (Vertex AI, BigQuery ML, TensorFlow, Generative AI Studio).
  • Lead
    AI solution design and implementation
    across enterprise applications, data platforms, and customer-facing products.
  • Architect and deploy
    scalable, secure, and cost-optimized AI/ML solutions
    in cloud and hybrid environments.
  • Collaborate with
    data scientists, ML engineers, and business stakeholders
    to translate business challenges into AI-driven solutions.
  • Evaluate and integrate
    GenAI, LLMs, Agentic AI, and conversational AI platforms
    for enterprise use cases.
  • Provide
    technical leadership and governance
    , ensuring best practices in AI architecture, model lifecycle management (MLOps), and responsible AI.
  • Mentor and guide engineering teams on
    AI/ML frameworks, pipelines, and cloud-native development
    .
  • Stay updated with emerging
    AI trends, Google Cloud innovations, and industry practices
    to influence strategic roadmaps.

Required Skills:

  • 15–18 years of overall IT experience
    , with
    at least 6–8 years in AI/ML architecture and solutioning
    .
  • Deep expertise in
    Google Cloud Platform (GCP)
    – Vertex AI, BigQuery, AI/ML APIs, TensorFlow, AutoML, and Dataflow.
  • Strong knowledge of
    Generative AI, LLMs, prompt engineering, RAG (Retrieval-Augmented Generation)
    , and
    Agentic AI systems
    .
  • Hands-on experience in
    MLOps, CI/CD for ML, model governance, and monitoring
    .
  • Proven track record in designing and deploying
    enterprise-scale AI/ML solutions
    .
  • Proficiency in
    Python, Java, or Scala
    with strong knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of
    data engineering, data lakes, ETL pipelines, and API-driven integrations
    .
  • Strong expertise in
    enterprise architecture frameworks
    (TOGAF, Zachman, etc.) and microservices/cloud-native patterns.
  • Excellent leadership, communication, and stakeholder management skills.

Desired Skills:

  • Google Cloud Professional Machine Learning Engineer
    or
    Google Cloud Professional Cloud Architect
    certification.
  • Experience with
    multi-cloud and hybrid AI strategies
    (AWS, Azure).
  • Exposure to
    AI ethics, explainability, and compliance frameworks
    .
  • Industry expertise in
    banking, retail, healthcare, or telecom
    is a plus.

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