Key Responsibilities
Define enterprise architecture patterns for Generative AI, including Retrieval-Augmented Generation (RAG), AI agents, orchestration frameworks, and API/microservices-based integrations.
Design and implement enterprise-scale GenAI architectures using LLMs, vector databases, AI agents, and orchestration frameworks.
Establish reusable architecture patterns, reference frameworks, and best practices for AI platform development.
Lead long-term AI and data strategy aligned with business objectives.
Design scalable, secure, and highly available AI solutions across AWS and Azure cloud platforms.
Define integration strategies using microservices, REST APIs, and event-driven architectures.
Conduct architecture reviews, risk assessments, and ensure adherence to enterprise architecture standards.
Define AI security, governance, access control, and compliance frameworks.
Partner with engineering, product, business, and executive stakeholders to drive AI initiatives.
Mentor architects and engineering teams on AI architecture, design patterns, and best practices.

Required Skills & Qualifications
10+ years of experience in Software Architecture.




5+ years of hands-on experience in AI/ML Architecture.
Robust experience designing enterprise-scale AI and Generative AI solutions.
Expertise in Machine Learning frameworks:
TensorFlow
PyTorch
Scikit-learn
Hands-on experience with MLOps tools:
Kubeflow
MLflow
Apache Airflow
Docker
Kubernetes
Deep expertise in cloud platforms:
AWS
Microsoft Azure
Robust experience with:
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Vector Databases
AI Agent Frameworks
LLM Orchestration
Experience designing microservices and API-driven architectures.
Solid understanding of AI security, governance, access management, and compliance.
Excellent stakeholder management, leadership, and communication skills.
Experience mentoring technical teams and influencing architectural decisions.

Good to Have
Experience with Databricks, Dataiku, or similar AI/ML platforms.
Experience building reusable AI frameworks and enterprise reference architectures.
Exposure to enterprise AI governance and responsible AI practices.

📌 Artificial Intelligence Architect Bengaluru
🏢 Vaisesika Consulting
📍 Bengaluru