AI Architect

**This role is for one of Weekday’s clients

Salary range: Rs 4000000 - Rs 7000000 (ie INR 40 - 70 LPA)** Min Experience: 10+ years

Location: Hyderabad

JobType: full-time

We are looking for an AI Software Architect / Senior AI Engineer who is a self-starter and thrives on designing and delivering production-grade AI solutions powered by Large Language Models (LLMs). This role requires deep expertise in architecting, building, and operating complex AI systems, including Retrieval-Augmented Generation (RAG), agentic workflows, tool calling, evaluation frameworks, and observability platforms.

The ideal candidate combines strong software engineering fundamentals with demonstrated experience delivering real-world AI products. Beyond experimentation, this individual must be capable of designing scalable, reliable, and cost-effective LLM-powered solutions that operate successfully in production environments. They should possess a strong understanding of modern AI architecture patterns, prompt engineering, retrieval systems, agent orchestration, and AI observability.

Requirements Key Responsibilities

• Own the architecture of AI-powered services and their integration with backend, mobile, and web applications
• Design, build, and maintain production-grade LLM applications using modern AI frameworks and orchestration platforms
• Lead technical design reviews and drive architectural decisions across AI services, backend systems, data pipelines, and cloud infrastructure
• Architect agentic workflows involving tool use, function calling, multi-agent systems, planning, memory management, and reasoning chains
• Establish evaluation frameworks to measure AI quality, reliability, latency, cost, and business impact
• Implement AI observability and monitoring using platforms such as Langfuse, LangSmith, OpenTelemetry, and related tooling
• Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases, embeddings, document pipelines, and retrieval optimization techniques
• Collaborate with software engineers, data scientists, product managers, and domain experts to translate business requirements into AI solutions
• Optimize prompts, retrieval strategies, model selection, and system architecture for accuracy, reliability, performance, and cost efficiency
• Design scalable APIs and services to expose AI capabilities across internal and external applications
• Define AI engineering standards, best practices, and governance processes across the organization
• Provide technical leadership and mentorship to engineers working on AI initiatives
• Leverage cloud platforms such as Google Cloud Platform (GCP) to deploy and scale AI services
• Document AI architectures, workflows, evaluation methodologies, and operational procedures

Qualifications

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or related field
• 10+ years of software engineering experience with at least 5 years focused on LLM-based solutions and generative AI systems
• Demonstrated experience designing and deploying complex production-grade AI applications using Large Language Models
• Extensive experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent technologies
• Hands-on experience implementing AI observability and evaluation frameworks using Langfuse, LangSmith, or similar platforms
• Proven expertise with Retrieval-Augmented Generation (RAG) architectures and vector database technologies
• Strong understanding of modern LLM architectures, prompting strategies, context management, embeddings, and retrieval techniques
• Strong Python development experience and software engineering fundamentals
• Experience designing scalable APIs and cloud-native architectures
• Ability to evaluate architectural trade-offs involving model performance, latency, reliability, maintainability, and cost
• Experience deploying AI solutions in production environments using Docker, Kubernetes, and cloud platforms
• Strong understanding of structured and unstructured data processing pipelines
• Familiarity with modern database technologies including PostgreSQL, vector databases, and document stores
• Excellent communication, leadership, and mentoring skills and ability to collaborate effectively with cross-functional teams

Preferred Skills

• Experience building agentic systems involving tool use, planning…