Google AI Architect

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.