Buisness Analyst & Data

Weekday 1; Bengaluru; Hybrid; INR 2,000,000 - 2,500,000; Full time

Benefits offered by this job

Remote-friendly

Job summary

Weekday 1 is seeking an experienced AI Engineering Architect to lead the architecture, development, and delivery of production-grade AI-powered applications. The role blends software architecture, hands-on Python engineering, full-stack development, Generative AI, cloud-native technologies, and technical leadership.

The ideal candidate will have strong experience building scalable production systems and applying modern AI technologies to enterprise applications.

Qualifications

• 10+ years of software engineering experience.
• 5+ years building production systems with Python.
• Strong hands-on experience with FastAPI, Django, Flask, REST APIs, and event-driven architectures.
• Experience designing scalable backend systems and enterprise application architectures.
• Full-stack development experience with React/Angular, TypeScript, HTML, and CSS.
• Strong practical experience building LLM-powered applications, prompt engineering, RAG, embeddings, vector databases, and AI agents.
• Cloud-native expertise across AWS, Azure, or GCP, plus Docker, Kubernetes, and CI/CD.
• Knowledge of SQL and NoSQL databases and enterprise data integrations.

Responsibilities

• Define and evolve scalable end-to-end architectures for AI-powered and enterprise applications.
• Lead the design and development of production-grade backend services, APIs, and AI orchestration layers using Python.
• Develop and guide full-stack application development using React/Angular, TypeScript, HTML, and CSS.
• Design and integrate LLM applications, RAG pipelines, embeddings, vector databases, AI agents, and enterprise data sources.
• Establish engineering standards for security, reliability, scalability, observability, performance, and maintainability.
• Lead technical design reviews, architecture discussions, technology evaluations, and build-vs-buy decisions.
• Design event-driven and distributed application architectures where appropriate.
• Collaborate with Product, Data Science, Cybersecurity, Cloud, and other technology stakeholders.
• Drive technical solutions from requirements and architecture through development, testing, deployment, and production support.
• Mentor senior engineers, provide technical guidance, and contribute to hiring and engineering capability development.
• Promote responsible AI practices covering privacy, explainability, governance, security, and appropriate AI controls.
• Identify opportunities to improve engineering processes, architecture, automation, and AI adoption.
• Support enterprise-scale deployment and productionisation of AI solutions.

Skills

Python

LLM

APIs

React

Angular

TypeScript

Cloud

Docker

Kubernetes

CI/CD

Tools

FastAPI

Django

Flask

React

Angular

TypeScript

HTML/CSS

SQL/NoSQL

Job description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝗶 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟮𝟱 𝗟𝗣𝗔)

Experience: 10+ yrs

Location: Pune, Bengaluru

Job Type: Full-time

We are looking for an experiencedAI Engineering Architectto lead the architecture, development, and delivery of production-grade AI-powered applications. The role combinessoftware architecture, hands-on Python engineering, full-stack development, Generative AI, cloud-native technologies, and technical leadership.

Theideal candidate willhave strong experience building scalable production systems and applying modern AI technologies to enterprise applications. You will provide technical direction across the software development lifecycle, drive architecture decisions, mentor engineering teams, and help establish scalable approaches for enterprise AI adoption.

Requirements

Key Responsibilities

• Define and evolve scalableend-to-end architecturesfor AI-powered and enterprise applications.
• Lead the design and development of production-grade backend services, APIs, and AI orchestration layers usingPython.
• Develop and guide full-stack application development usingReact/Angular, TypeScript, HTML, and CSS.
• Design and integrateLLM applications, RAG pipelines, embeddings, vector databases, AI agents, and enterprise data sources.
• Establish engineering standards forsecurity, reliability, scalability, observability, performance, and maintainability.
• Lead technical design reviews, architecture discussions, technology evaluations, and build-vs-buy decisions.
• Design event-driven and distributed application architectures where appropriate.
• Collaborate with Product, Data Science, Cybersecurity, Cloud, and other technology stakeholders.
• Drive technical solutions from requirements and architecture through development, testing, deployment, and production support.
• Mentor senior engineers,provide technical guidance, and contribute to hiring and engineering capability development.
• Promote responsible AI practices coveringprivacy, explainability, governance, security, and appropriate AI controls.
• Identify opportunities to improve engineering processes, architecture, automation, and AI adoption.
• Support enterprise-scale deployment and productionisation of AI solutions.

What Makes You a Great Fit

• 10+ years of software engineering experience, including5+ years building production systems with Python.
• Strong hands-on expertise withFastAPI, Django, Flask, REST APIs, and event-driven architectures.
• Proven experience designing scalable backend systems and enterprise application architectures.
• Full-stack developmentexperience withReactor Angular, TypeScript, HTML, and CSS.
• Strong practical experience buildingLLM-powered applications, prompt engineering, RAG, embeddings, vector databases, and AI agents.
• Strong cloud-native expertise acrossAWS, Azure, or GCP, along with Docker, Kubernetes, and CI/CD.
• Solid experience withSQL and NoSQL databasesand enterprise data integrations.
• Proven ability to lead architecture decisions, conduct technical design reviews, and influence engineering teams.
• Experience delivering AI solutions at enterprise scale is highly desirable.
• Knowledge ofMLOps, LLMOps, AI safety controls, governance, and responsible AI practices.
• Familiarity withAzure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Strong understanding ofapplication security, observability, reliability, performance, and scalability.
• Experience working in consulting, enterprise technology, or regulated-industry environments is an advantage.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills.
• Relevant certifications incloud architecture, software architecture, or AI technologieswould be an advantage.