principal ai architect

This role is for one of the Weekday's clients

Salary range: Rs 15000000 (ie INR 150 LPA)

Min Experience: 10 years

Location: Bengaluru, mumbai

JobType: full-time

As a senior platform and AI engineering leader, you will architect, build, and evolve complex distributed systems that power intelligent applications at scale. You will work with cutting-edge AI frameworks and cloud-native infrastructure to deliver resilient, high-performance platforms that support modern AI workloads, including retrieval-augmented generation (RAG) and large language model (LLM)–driven applications.

This role goes beyond hands-on development—you will influence technical direction, mentor senior engineers, and partner closely with cross-functional stakeholders to ensure architectural decisions align with business and product goals. You will set engineering standards, guide platform evolution, and ensure systems are built with reliability, security, and observability at their core.

Key Responsibilities

• Lead the architecture and design of large-scale distributed systems and AI platforms
• Build and optimize AI-driven systems using LLM orchestration frameworks, vector databases, embeddings, and RAG patterns
• Drive platform decisions involving LangChain, LlamaIndex, and modern AI orchestration stacks
• Design cloud-native infrastructure using AWS or Azure with Kubernetes-based deployments
• Establish scalable event-driven and streaming architectures using messaging platforms such as Kafka
• Implement infrastructure-as-code and automation using tools like Terraform
• Define and enforce best practices for reliability, performance, security, and observability
• Oversee system monitoring, logging, tracing, and operational readiness at scale
• Provide technical leadership across teams, influencing architecture, roadmap planning, and platform standards
• Mentor senior engineers and foster a culture of engineering excellence and innovation
• Partner with product, data, and leadership teams to translate complex requirements into robust technical solutions
• Evaluate emerging technologies and frameworks to continuously improve platform capabilities

What Makes You a Great Fit

• 10–15+ years of experience in distributed systems, platform engineering, or large-scale backend architecture
• Deep expertise in AI and machine learning platforms, including LLM orchestration, vector databases, embeddings, and RAG workflows
• Strong hands-on experience with LangChain, LlamaIndex, and modern AI tooling ecosystems
• Proven experience building cloud-native systems using AWS or Azure, Kubernetes, and containerized environments
• Solid background in streaming systems, event-driven architecture, and platform scalability
• Experience implementing infrastructure automation, CI/CD pipelines, and observability systems
• Demonstrated leadership in driving architecture decisions for complex, high-impact systems
• Strong communication skills with the ability to influence technical direction across senior stakeholders
• A strategic mindset combined with hands-on technical depth and execution excellence