๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฌ-๐ฎ๐ฑ ๐๐ฃ๐)
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.
Skills Required
- 10+ years of software engineering experience
- 5+ years building production systems with Python
- Expertise 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 or Angular, TypeScript, HTML, and CSS
- Experience building LLM-powered applications, prompt engineering, RAG, embeddings, vector databases, and AI agents
- Cloud-native expertise across AWS, Azure, or GCP, including Docker, Kubernetes, and CI/CD
- Experience with SQL and NoSQL databases and enterprise data integrations
- Ability to lead architecture decisions, conduct technical design reviews, and influence engineering teams
- Experience delivering AI solutions at enterprise scale
- Knowledge of MLOps, LLMOps, AI safety controls, governance, and responsible AI practices
- Familiarity with Azure OpenAI, Amazon Bedrock, or Google Vertex AI
- Understanding of application security, observability, reliability, performance, and scalability
- Experience in consulting, enterprise technology, or regulated-industry environments
- Excellent communication, stakeholder management, problem-solving, and technical leadership skills
- Relevant certifications in cloud architecture, software architecture, or AI technologies
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
