Senior Solution Architect — Sales AI Applications

Overview

Senior Solution Architect with full-stack software engineering experience to help develop Sales AI applications that bring generative AI and intelligent workflows into everyday sales experiences.

What you'll do

• Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows.
• Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure.
• Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences.
• Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications.
• Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability.
• Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies.
• Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness.
• Investigate complex issues and develop solutions that improve reliability and user experience.
• Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices.

What you'll need

• A bachelor's degree or equivalent experience in Computer Science, Engineering, or a related technical field is encouraged.
• 10+ years of professional software engineering experience, including building and operating production applications.
• Experience developing full-stack applications with modern front-end, back-end, and web application technologies.
• Proficiency in one or more languages or frameworks, such as Python, Java, JavaScript, React, Node.js, or similar technologies.
• Experience designing APIs, distributed applications, data services, enterprise integrations, scalable cloud applications, databases, and messaging systems.
• Experience integrating AI or machine learning capabilities through APIs, models, retrieval systems, or AI services.
• Knowledge of software architecture, system design, security, testing, observability, and production operations.
• Ability to lead technical initiatives, make informed engineering decisions, communicate with technical and non-technical teams, and mentor engineers.

Nice to have

• Experience building generative AI applications, including AI assistants, retrieval-augmented generation, agentic workflows, AI productivity tools, Python-based AI services, large language model APIs, vector databases, prompt engineering, or AI evaluation.
• Experience combining traditional software systems with AI models and data pipelines and progressing AI capabilities from prototype through production.
• Familiarity with responsible AI, data privacy, access controls, security, or enterprise AI governance.
• Experience with Kubernetes, containers, microservices, infrastructure as code, DevOps practices, application performance, reliability, scalability, observability, cloud cost efficiency, or globally distributed engineering teams.

Details

• Location: Pune, India.