Technical Architect _AI & Enterprise Document Solutions

Synopsis: We are looking for a highly experienced Technical Architect to lead the architecture and delivery of a large-scale, enterprise-grade AI platform for a global client. This role requires someone who has hands-on expertise in designing and building complex distributed systems involving AI/LLMs, cloud-native microservices, document engineering, enterprise integrations, and modern web technologies.

The ideal candidate should be capable of understanding business problems end-to-end, defining scalable technical solutions, leading customer discussions, mentoring engineering teams, and contributing hands-on to critical parts of the implementation.

This is not a pure architecture or management role. We are looking for a hands-on Technical Architect who enjoys coding, solving complex engineering problems, reviewing designs, and ensuring engineering excellence across the project.

Key Responsibilities:

Technical Leadership

• Own the end-to-end technical architecture of enterprise-grade applications.
• Define scalable, secure, and maintainable solution architecture.
• Lead architectural discussions with client stakeholders.
• Convert business requirements into technical designs and implementation plans.
• Drive technology decisions, framework selection, and architectural standards.
• Ensure system scalability, resiliency, performance, and maintainability.

AI & Modern Engineering

• Design AI-powered enterprise solutions using Large Language Models (LLMs).
• Architect Retrieval-Augmented Generation (RAG) based systems.
• Design semantic search, embeddings, vector databases, and knowledge retrieval pipelines.
• Evaluate prompt engineering strategies and AI workflows.
• Design systems that integrate multiple AI services into enterprise applications.

Optimize AI applications for accuracy, latency, scalability, and cost.

Backend Architecture

• Design and develop scalable backend services using Python and Node.js.
• Architect REST APIs and microservices.
• Design event-driven and asynchronous systems where applicable.
• Optimize application performance and reliability.
• Ensure secure communication across distributed services.

Frontend Architecture

• Guide architecture of modern React-based enterprise applications.
• Define frontend engineering standards.
• Ensure maintainable component architecture.
• Collaborate closely with UI/UX teams.

Cloud & DevOps

• Design cloud-native applications on Microsoft Azure.
• Architect secure deployment strategies.
• Design scalable infrastructure.
• Work closely with DevOps teams for CI/CD best practices.
• Ensure application observability, monitoring, logging, and diagnostics.

Data Architecture

Design relational database models using PostgreSQL.

• Work with Vector Databases and embedding storage.
• Optimize database performance.
• Define data governance and security best practices.

Code Quality & Engineering Excellence

• Write production-grade code for critical modules.
• Perform architecture reviews.
• Conduct code reviews and Pull Request (PR) reviews.
• Define coding standards and engineering best practices.
• Guide developers in implementing clean, maintainable, and scalable solutions.
• Improve development processes and engineering productivity.

Team Leadership

• Mentor senior developers and engineers.
• Conduct technical knowledge-sharing sessions.
• Guide engineers on architecture and implementation approaches.
• Help resolve complex technical issues.

Build a culture of engineering excellence.

Client Engagement

• Lead technical discussions with client architects and engineering teams.
• Present architectural solutions confidently.
• Understand client challenges and propose appropriate technical approaches.
• Participate in requirement discovery workshops.
• Act as the primary technical point of contact.

Required Skills:

Programming Languages

• Python (Expert)
• Node.js (Expert)
• JavaScript / TypeScript
• React.js

AI & Machine Learning

• Strong experience in:
• Large Language Models (LLMs)
• Gemini or similar enterprise LLM platforms
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Semantic Search
• Embedding Generation
• Vector Databases
• AI Service Integration
• AI Workflow Design
• LLM Evaluation and Optimization

Cloud

• Hands-on experience with Microsoft Azure:
• Azure App Services
• Azure Storage
• Azure Functions
• Azure Key Vault
• Azure Networking
• Identity & Access Management
• Azure Monitor
• Azure DevOps (preferred)

Backend Technologies

• Python
• FastAPI / Flask / Django
• Node.js
• REST APIs
• Microservices
• Authentication & Authorization
• API Security

Values:

• Get stuff done
• Move fast with purpose
• Win with ideas
• Sweat the details
• Deliver great customer experiences
• Make your teammate successful

Perks:

• Health Insurance
• Kwench Library (Klib)
• Employee Assistance Program (Free Counseling Service)
• Hybrid Work Model
• Flexi Reimbursement Basket
• Paid Time off
• Level up your skills with company-based sponsorship.
• Tech reimbursement.

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