Job Description
We are looking for an experienced AI Architect / Senior AI Architect to join our technology team and drive the design and implementation of enterprise-scale AI, GenAI, Big Data and Cloud solutions .
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Location: Noida/Gurgaon/Indore/Pune/Bangalore/Hyderabad/Chennai
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Experience: 10–20 Years
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Role: AI Architect / Senior AI Architect
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What You’ll Do
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- Design and architect enterprise-grade AI/ML and Generative AI solutions .n
- Lead architecture for LLM, RAG, GenAI and AI-powered applications .n
- Design scalable Big Data architectures and data pipelines supporting AI workloads.n
- Architect and deploy solutions on AWS Cloud , leveraging services such as SageMaker, Bedrock, S3, Lambda, ECS/EKS, DynamoDB and IAM .n
- Define architecture standards, design patterns, security practices and governance frameworks.n
- Work closely with Data Engineering, ML Engineering, GenAI, Product and DevOps teams to deliver production-ready solutions.n
- Drive POCs, technical evaluations and adoption of emerging AI technologies .n
- Ensure AI platforms meet requirements around scalability, security, performance, reliability and cost optimization .n
- Mentor senior engineers and architects and provide technical direction across AI initiatives.n
- Present architecture, technology strategy and AI roadmaps to senior/executive stakeholders.n
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What We’re Looking For
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✅ 10–20 years of overall technology experience
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✅ Strong experience in Big Data / Data Engineering architecture
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✅ Hands-on expertise in Generative AI, LLMs and RAG
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✅ Strong AWS Cloud architecture experience
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✅ Excellent Python programming skills
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✅ Experience with SageMaker / Bedrock / EKS / ECS / Lambda / S3 / IAM
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✅ Knowledge of PyTorch / TensorFlow / Hugging Face and contemporary AI frameworks
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✅ Strong understanding of MLOps, CI/CD, model deployment, monitoring and observability
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✅ Experience designing scalable enterprise data and AI platforms
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✅ Strong stakeholder management and architecture presentation skills
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⭐ Good to Have
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- Multi-cloud experience across AWS / Azure / GCP n
- Experience with Vector Databases, LangChain, LangGraph and AI Agents n
- Enterprise SaaS integrations such as Salesforce / ServiceNow n
- Experience with responsible AI, AI governance and securityn
- Experience working in large-scale enterprise or regulated environmentsn
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Ideal Profile
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We’re looking for someone who can go beyond individual AI models and architect the complete ecosystem — Data → Big Data Platform → LLM/GenAI → RAG → Cloud → MLOps → Production .
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If you are passionate about building scalable, secure and business-focused AI solutions , we would love to hear from you.
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