Posted:1 day ago|
Platform:
Work from Office
Full Time
Job Title: AI Architect – GenAI & Agentic AI Solutions
Experience: 10+ years
Location: Pan India
Role Overview
The AI Architect will lead the design, development, and deployment of advanced GenAI and Agentic AI solutions across cloud platforms. This role demands a deep technologist who can engage with delivery teams, translate use cases into solutions, and guide teams through MLOps, Responsible AI, and platform engineering practices.
Key Responsibilities
Design and implement Agentic AI systems that enable autonomous task execution, decision-making, and orchestration across enterprise workflows.
Evaluate and integrate GenAI frameworks such as LangChain, LlamaIndex, and enterprise-grade orchestration platforms.
Build scalable, cloud-native architectures across AWS, Azure, and GCP using services like SageMaker, Bedrock, OpenAI, and Gemini.
Lead deployment strategies including containerization (Docker, Kubernetes), CI/CD pipelines, and edge computing.
Optimize cloud cost and performance through automated provisioning, patching, and observability.
Establish robust MLOps pipelines for model training, validation, deployment, and monitoring.
Implement fallback mechanisms, model versioning, and governance frameworks to ensure reliability and compliance.
Guide teams in continuous integration and delivery of AI models with secure and scalable practices.
Required Skills & Experience
15+ years in software engineering, AI/ML, and cloud architecture.
Proven client-facing experience in solutioning and delivery.
Deep expertise in GenAI technologies, including prompt engineering, model orchestration, and knowledge platforms.
Hands-on experience with Agentic AI systems and frameworks.
Strong grasp of Responsible AI principles—robustness, transparency, privacy, and bias mitigation.
Proficiency in Python, Java, and cloud SDKs.
Experience with MLOps tools such as MLFlow, Kubeflow, Airflow.
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