Architect - AI Engineering

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining the meaning of work, and be a part of the team raved by Clients, Job-seekers and Employees. Jobseeker Video Testimonials Employee Glassdoor Reviews If you are a AI Architect looking for excitement, challenge and stability in your work, then you would be glad to come across this page. We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details. Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution. Role:AI Architect Location: Hyderabad | Bangalore | Pune | Chennai Experience:8+ Years Work Mode: Hybrid Type: Contract to Hire Notice Period:Immdiate Joiners Requirements About the Role We are looking for an experienced Architect to lead the design, hardening, and scaling of agentic AI systems — taking prototype-stage LLM applications and evolving them into production-grade, enterprise-ready platforms. This role sits at the intersection of AI engineering and software architecture, requiring hands-on depth in agentic frameworks alongside strong fundamentals in backend systems design and cloud deployment. Key Responsibilities Agentic AI Development Design and build agentic workflows using frameworks such as LangGraph, and tools like Claude Code, to orchestrate multi-step, tool-using AI agents Own prompt engineering strategy — designing, testing, and iterating on prompts for reliability, consistency, and cost efficiency Evaluate and integrate LLM capabilities into broader application architectures Prototype-to-Production Engineering Take early-stage AI prototypes and refactor them into robust, maintainable, production-grade systems Identify and remediate technical debt, brittle logic, and scalability bottlenecks common in fast-built AI proofs-of-concept Establish engineering rigor (testing, observability, error handling, versioning) around previously ad hoc AI systems Backend Engineering Architect and develop backend services in Python, using FastAPI and async programming patterns Optimize application performance, latency, and throughput for AI-driven workloads Design clean, well-documented APIs that support both internal and external consumption Software Architecture & Design Apply sound software architecture principles and design patterns to ensure systems are modular, scalable, and maintainable Make and document key architectural decisions (system design, data flow, integration patterns, trade-offs) Set technical standards and provide architectural guidance to engineering teams Cloud & Infrastructure Design and deploy solutions on AWS and/or Azure, leveraging cloud-native services for compute, storage, and orchestration Ensure systems are built with security, cost-efficiency, and scalability in mind from a…