This role is for one of the Weekday's clients Salary range: Rs 8000000 - Rs 15000000 (ie INR 80-150 LPA) Experience: 12+ yrs

Location: Bengaluru

Job Type: full-time

We are seeking an experienced Solution Architect with a strong background in Java, Spring Boot, and Generative AI to lead the design and delivery of next-generation AI-powered enterprise applications. This is a hands-on leadership role for a technology professional who combines deep software engineering expertise with practical experience building and deploying production-grade AI solutions.

The ideal candidate will have extensive experience designing scalable distributed systems, architecting cloud-native applications, and integrating Large Language Models (LLMs) into business-critical products. You will work closely with engineering, product, design, and data teams to define technical strategy, build intelligent platforms, and drive innovation through Generative AI technologies.

This role requires a balance of architectural leadership and hands-on engineering, with a robust focus on delivering high-quality, scalable, and reliable solutions that create measurable business impact.

Requirements Key Responsibilities

- Design and architect scalable enterprise applications using Java, Spring Boot, microservices, and cloud-native technologies
- Lead the development and deployment of Generative AI solutions, including LLM-powered applications, intelligent assistants, and AI-driven workflows
- Design and implement Retrieval-Augmented Generation (RAG) architectures for knowledge retrieval and contextual AI experiences
- Build and optimize prompt engineering frameworks, AI orchestration layers,



and agent-based systems
- Define system architecture, API standards, integration patterns, and engineering best practices
- Drive end-to-end solution design from requirements gathering through implementation, deployment, and production support
- Collaborate with product, engineering, and business stakeholders to translate business requirements into scalable technical solutions
- Evaluate emerging AI technologies and identify opportunities to enhance products through automation and intelligence
- Establish observability, monitoring, evaluation, and governance frameworks for AI systems in production
- Lead architecture reviews, technical design discussions, and engineering decision-making processes
- Mentor engineering teams and provide guidance on software architecture, design patterns, coding standards, and AI best practices
- Support hiring and development of high-performing engineering talent, particularly within AI and platform engineering domains
- Ensure security, scalability, reliability, and maintainability across all solutions and platforms
- Drive continuous improvement through automation, CI/CD practices, performance optimization, and operational excellence

What Makes You a Great Fit





- 12+ years of software engineering experience with strong expertise in enterprise application development
- Hands-on experience building production-grade Generative AI solutions using Large Language Models
- Strong proficiency in Java and Spring Boot for designing and developing scalable backend systems
- Deep understanding of RAG architectures, prompt engineering, AI orchestration, and agent-based workflows
- Proven experience architecting distributed systems, APIs, microservices, and cloud-native applications
- Strong software engineering fundamentals including system design, scalability, security, and performance optimization
- Experience leading technical architecture initiatives and influencing engineering teams across multiple functions
- Ability to balance strategic architectural thinking with hands-on technical execution
- Strong understanding of AI evaluation frameworks, observability, monitoring, and production operations
- Experience working closely with product, design, analytics, and engineering stakeholders to deliver business outcomes
- Proven ability to mentor engineers, build high-performing teams, and foster technical excellence
- Familiarity with cloud platforms, CI/CD pipelines, automation frameworks, and modern development practices
- Strong communication and stakeholder management skills with the ability to explain complex technical concepts to both technical and non-technical audiences
- Knowledge of responsible AI practices, governance, data privacy, and risk mitigation strategies is highly desirable
- Experience in complex enterprise software, SaaS platforms, or data-intensive environments is an added advantage

📌 Solutions Architect (Bengaluru)
🏢 Weekday AI (YC W21)
📍 Bengaluru