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𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 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 experienced AI Engineering Architect to lead the architecture, development, and delivery of production-grade AI-powered applications. The role combines 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. 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 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
What Makes You a Great Fit
10+ years of software engineering experience, including 5+ years building production systems with Python
Strong hands-on expertise with FastAPI, Django, Flask, REST APIs, and event-driven architectures
Proven experience designing scalable backend systems and enterprise application architectures
Full-stack development experience with React or Angular, TypeScript, HTML, and CSS
Strong practical experience building LLM-powered applications, prompt engineering, RAG, embeddings, vector databases, and AI agents
Strong cloud-native expertise across AWS, Azure, or GCP, along with Docker, Kubernetes, and CI/CD
Solid experience with SQL and NoSQL databases and 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 of MLOps, LLMOps, AI safety controls, governance, and responsible AI practices
Familiarity with Azure OpenAI, Amazon Bedrock, or Google Vertex AI
Strong understanding of application 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 in cloud architecture, software architecture, or AI technologies would be an advantage
Work arrangement
No
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