Role: Sr. Gen AI / Agentic AI Architect
Location: Chennai, Hyderabad, Indore
GenAI & Agentic AI Architect
You will play a critical role in shaping next-generation AI systems, leveraging Generative AI and Agentic AI paradigms to build scalable, intelligent, and action-oriented solutions.
Key Responsibilities
- Architect and develop scalable, high-performance Generative AI solutions on Azure/AWS/ GCP platforms
- Design, build, and manage containerized AI applications using Docker and orchestrate deployments via Kubernetes
- Establish and maintain observability frameworks for LLMs, including performance monitoring, system health, and usage analytics
- Develop and implement machine learning models using Python or R, leveraging frameworks such as TensorFlow, PyTorch, or scikit-learn
- Build and deploy AI/ML solutions using cloud-native services such as AWS SageMaker, Azure AI, or Google Vertex AI
- Design and implement multi-agent systems and Retrieval-Augmented Generation (RAG) architectures
- Define and enforce standards for prompt engineering, vector search, and model orchestration
- Build and manage enterprise-grade MLOps pipelines covering model training, fine-tuning, evaluation, deployment, and monitoring
- Collaborate with cross-functional teams to integrate AI capabilities into enterprise products and platforms
- Lead system optimization, performance tuning, and troubleshooting of AI-driven applications
- Establish best practices for secure, scalable, and maintainable AI architectures
- Mentor and guide AI engineering teams on emerging technologies and implementation best practices
- Stay current with advancements in Generative AI, Agentic AI, and cloud technologies
Required Skills & Qualifications
- Minimum
8+ years
of experience in a technical architecture role - Proven expertise in
Azure and/or AWS cloud architectures
- Strong hands-on experience with
Docker and Kubernetes
- Proficiency in
Python or R
with experience in TensorFlow, PyTorch, or scikit-learn
- Deep knowledge of
MLOps practices
and model deployment on AWS SageMaker, Azure AI, or Google Vertex AI
- Experience with
multi-agent orchestration and RAG architectures
- Solid understanding of
prompt engineering, vector search, and LLM observability frameworks
- Experience with
Spring Boot and microservices architecture
- Strong understanding of
enterprise AI security, scalability, and governance principles
