Role: AI Architect

Location: Bengaluru

Key Responsibilities
- Define enterprise architecture patterns for GenAI (RAG, agents, orchestration frameworks) and API/microservices-based integrations
- Establish scalable, reusable architecture patterns and reference frameworks
- Lead long-term AI and data strategy aligned with business goals
- Architect GenAI solutions including RAG pipelines, vector databases, LLM orchestration, and agent-based systems
- Create reusable frameworks, reference architectures and conduct architecture reviews and risk assessments.
- Lead software architecture across AWS/Azure ecosystems
- Define integration strategies using micro-services, APIs, and event-driven architectures
- Partner with leadership to shape long term AI strategy.

Required Qualifications:
- 10+ years of experience in software architecture and 5+ years of hands-on experience in AI/ML architecture




- Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
- Deep expertise in cloud platforms (AWS/Azure).
- Proven experience designing enterprise GenAI architectures.
- Experience defining security, access control, and compliance frameworks.
- Proven experience designing enterprise-scale AI solutions
- Robust influencing and stakeholder management skills.
- Mentor engineering teams and architects
- Partner with business, product, and executive stakeholders

Good to have skills:
- Experience with tools such as Databricks, Dataiku, or similar platforms

Education:
- Bachelor’s or Master’s degree in computer science or equivalent educational qualifications.

📌 AI Architect (Bengaluru)
🏢 Vaisesika
📍 Bengaluru