Senior Agentic AI Architect

Jobgether • India

Remote

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AI Summary

Design and deliver next-generation agentic AI systems, architecting scalable, secure, and production-ready multi-agent frameworks. Lead strategic AI innovation, defining AI standards, governance models, and deployment best practices. Collaborate with engineering, product, and business teams to translate real-world challenges into intelligent AI-driven solutions.

Key Highlights

Design and architect enterprise-grade multi-agent AI systems

Lead strategic AI innovation and define AI standards, governance models, and deployment best practices

Collaborate with engineering, product, and business teams to translate real-world challenges into intelligent AI-driven solutions

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Key Responsibilities

Design and architect enterprise-grade multi-agent AI systems with strong emphasis on scalability, security, reliability, and maintainability

Build and deploy agentic AI solutions using orchestration frameworks, RAG pipelines, memory systems, evaluation layers, and safety guardrails

Architect AI platforms leveraging AWS services such as Bedrock, SageMaker, Lambda, API Gateway, and related cloud-native technologies

Technical Skills Required

Amazon Web Services Agentic AI GenAI

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Benefits & Perks

Competitive compensation package ranging from ₹20 LPA to ₹50 LPA

Fully remote role based in India with flexibility in work arrangements

Opportunity to design and lead cutting-edge Agentic AI architectures at enterprise scale

Job Description

This is a senior technical leadership role at the forefront of enterprise AI innovation, focused on designing and delivering next-generation agentic AI systems. You will architect scalable, secure, and production-ready multi-agent frameworks that solve complex business problems across enterprise environments. The role blends deep hands-on architecture with strategic leadership, requiring you to define AI standards, governance models, and deployment best practices. You will work across engineering, product, and business teams to translate real-world challenges into intelligent AI-driven solutions. A strong focus will be placed on building systems using modern GenAI and agent orchestration techniques, ensuring reliability, observability, and compliance at scale. This position offers high ownership, exposure to cutting-edge AI technologies, and the opportunity to shape enterprise AI strategy end-to-end.

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