AI Architect
Impetus Capital- Posted 14 days ago
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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.
Location: Noida/Gurgaon/Indore/Pune/Bangalore/Hyderabad/Chennai
Experience: 10–20 Years
Role: AI Architect / Senior AI Architect
What You'll Do
- Design and architect enterprise-grade AI/ML and Generative AI solutions.
- Lead architecture for LLM, RAG, GenAI and AI-powered applications.
- Design scalable Big Data architectures and data pipelines supporting AI workloads.
- Architect and deploy solutions on AWS Cloud, leveraging services such as SageMaker, Bedrock, S3, Lambda, ECS/EKS, DynamoDB and IAM.
- Define architecture standards, design patterns, security practices and governance frameworks.
- Work closely with Data Engineering, ML Engineering, GenAI, Product and DevOps teams to deliver production-ready solutions.
- Drive POCs, technical evaluations and adoption of emerging AI technologies.
- Ensure AI platforms meet requirements around scalability, security, performance, reliability and cost optimization.
- Mentor senior engineers and architects and provide technical direction across AI initiatives.
- Present architecture, technology strategy and AI roadmaps to senior/executive stakeholders.
What We're Looking For
10–20 years of overall technology experience
Strong experience in Big Data / Data Engineering architecture
Hands-on expertise in Generative AI, LLMs and RAG
Strong AWS Cloud architecture experience
Excellent Python programming skills
Experience with SageMaker / Bedrock / EKS / ECS / Lambda / S3 / IAM
Knowledge of PyTorch / TensorFlow / Hugging Face and modern AI frameworks
Strong understanding of MLOps, CI/CD, model deployment, monitoring and observability
Experience designing scalable enterprise data and AI platforms
Strong stakeholder management and architecture presentation skills
Good to Have
- Multi-cloud experience across AWS / Azure / GCP
- Experience with Vector Databases, LangChain, LangGraph and AI Agents
- Enterprise SaaS integrations such as Salesforce / ServiceNow
- Experience with responsible AI, AI governance and security
- Experience working in large-scale enterprise or regulated environments
Ideal Profile
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.
If you are passionate about building scalable, secure and business-focused AI solutions, we would love to hear from you.
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