AI Architect

Impetus · India

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.