AI Solutions Architect Jobs in India | ₹1.6L–₹2.5L/mo

A Day in the Life

You begin your morning reviewing a production ML pipeline alerting on data drift in a customer churn prediction model. After diagnosing the issue with your data engineering team, you shift to architecting a new generative AI feature: evaluating whether to use a fine-tuned LLM or a retrieval-augmented generation (RAG) approach, considering latency, cost, and accuracy trade-offs. By afternoon, you're presenting a deployment strategy to stakeholders, outlining how to version models, manage A/B tests, and rollback safely. You also mentor junior engineers on best practices for model monitoring and incident response.

As an AI Solutions Architect, you own the technical strategy. You don't just build—you design systems that other teams will maintain and scale for years.

What You'll Work On

• Designing end-to-end ML/AI system architectures, including model serving, feature stores, and monitoring
• Evaluating and selecting generative AI frameworks, LLM providers, and fine-tuning strategies for enterprise use cases
• Building MLOps pipelines: CI/CD for models, experiment tracking, retraining automation, and versioning
• Conducting technical due diligence with customers; translating business problems into AI solutions
• Establishing governance: model governance, bias detection, compliance, and responsible AI practices

Career Trajectory in India

In India's tech ecosystem, AI Solutions Architects command senior compensation and are actively recruited by product companies, consulting firms, and enterprises undergoing digital transformation. Many transition into technical leadership roles—Principal Engineer, VP Engineering, or founding roles in AI-focused startups—within 5–7 years of experience.