Key Responsibilities
Design and architect enterprise-grade AI/ML and Generative AI solutions on Google Cloud Platform.
Develop AI strategies, reference architectures, and implementation roadmaps aligned with business objectives.
Lead the deployment of machine learning models using Google Vertex AI and related GCP services.
Design and implement Generative AI solutions utilizing foundation models, LLMs, and Retrieval-Augmented Generation (RAG) architectures.
Define AI governance, security, compliance, and responsible AI frameworks.
Architect scalable data pipelines and AI platforms for model development, training, and deployment.
Guide engineering teams on AI best practices, model lifecycle management, and MLOps methodologies.
Evaluate and select AI technologies, frameworks, and cloud services to meet business requirements.
Optimize AI workloads for performance, scalability, reliability, and cost efficiency.
Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications.
Establish monitoring, observability, and model performance frameworks.
Drive innovation initiatives leveraging emerging AI technologies and Google Cloud services.

Required Skills & Qualifications AI & Machine Learning
Solid expertise in Machine Learning, Deep Learning, and Generative AI concepts.




Experience designing AI solutions using:
Large Language Models (LLMs)
Foundation Models
Prompt Engineering
Fine-Tuning Techniques
Retrieval-Augmented Generation (RAG)
AI Agents and Agentic AI systems
Experience with NLP, Computer Vision, Recommendation Systems, and Predictive Analytics.

Google Cloud Expertise
Hands-on experience with:
Vertex AI
Vertex AI Search
Vertex AI Agent Builder
Gemini Models
BigQuery ML
Cloud Storage
Dataflow
Dataproc
Pub/Sub
Cloud Functions
Cloud Run
Kubernetes Engine (GKE)
IAM
Cloud Monitoring

Programming & Development
Robust proficiency in:
Python
SQL
REST APIs
Experience with
TensorFlow
PyTorch
Scikit-learn
Hugging Face Transformers
LangChain
LlamaIndex
Semantic Kernel

Data & Analytics
Experience designing up-to-date data platforms on GCP.
Knowledge of
BigQuery
Data Lakes
Data Warehousing
Streaming Analytics
Feature Stores
Vector Databases

MLOps & DevOps
Experience implementing:
CI/CD Pipelines
Model Monitoring
Feature Engineering Pipelines
Automated Retraining Frameworks
Infrastructure as Code (Terraform)
Familiarity with
Docker
Kubernetes
GitHub Actions
Jenkins

📌 Gcp Ai Architect S Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru