This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solution Architect — Sales AI Applications based in India.

This is a senior technical opportunity focused on building intelligent applications that transform enterprise sales workflows through generative AI.
You will work across the full application stack, from user experiences and APIs to data services, integrations, and cloud infrastructure.
The role combines hands-on software engineering with solution architecture, technical leadership, and strategic decision-making.
You will collaborate with Product, AI/ML, Data, Security, Engineering, and Architecture teams in a highly cross-functional environment.
Your work will help bring AI assistants, retrieval systems, and agentic workflows from concepts and prototypes into secure, reliable production applications.
You will also influence engineering standards, mentor developers, and help shape scalable solutions used by global teams.
The position offers the opportunity to solve complex technology challenges at the intersection of enterprise software, cloud computing, and AI.

• Design, develop, and maintain scalable full-stack applications supporting enterprise sales workflows and intelligent user experiences.
• Provide technical direction across front-end and back-end development, APIs, data services, enterprise integrations, and cloud infrastructure.
• Translate business and product requirements into secure, maintainable, scalable, and user-focused technical solutions.
• Architect and integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications.
• Design application architectures with strong emphasis on performance, availability, observability, security, scalability, and long-term maintainability.
• Lead technical design discussions, assess alternative implementation approaches, make architecture decisions, and evaluate emerging technologies.
• Improve engineering practices across testing, code quality, CI/CD, monitoring, documentation, reliability, and production readiness.
• Investigate complex technical and production issues and develop solutions that improve application reliability and user experience.
• Collaborate closely with Product, AI/ML, Data, Security, Solution Architecture, and Engineering stakeholders to deliver integrated solutions.
• Mentor engineers, share technical expertise, and contribute to engineering standards, development practices, and a strong collaborative culture.
• Help advance AI capabilities from experimentation and prototyping into robust, scalable, enterprise-ready applications.
• Contribute to responsible AI adoption by considering security, privacy, access controls, governance, and operational requirements throughout the solution lifecycle.

Requirements:

• Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, or a related technical discipline is preferred.
• 10+ years of professional software engineering experience, including designing, developing, and operating production-grade applications.
• Strong full-stack development experience using modern front-end, back-end, and web application technologies.
• Proficiency in one or more technologies such as Python, Java, JavaScript, React, Node.js, or comparable frameworks and languages.
• Proven experience designing APIs, distributed applications, data services, enterprise integrations, databases, messaging systems, and scalable cloud applications.
• Experience integrating AI or machine learning capabilities through APIs, models, retrieval systems, or managed AI services.
• Strong understanding of software architecture, system design, application security, testing, observability, reliability, and production operations.
• Ability to lead complex technical initiatives, make sound engineering and architectural decisions, and communicate effectively with both technical and non-technical stakeholders.
• Demonstrated mentoring and technical leadership capabilities, with the ability to influence engineering teams and establish effective development practices.
• Experience with generative AI applications such as AI assistants, RAG, agentic workflows, LLM APIs, vector databases, prompt engineering, AI evaluation, or AI productivity solutions is a strong advantage.
• Experience taking AI solutions from prototype through production while integrating traditional software systems, data pipelines, and enterprise applications is highly valued.
• Familiarity with responsible AI, data privacy, security, access management, and enterprise AI governance is beneficial.
• Knowledge of Kubernetes, containers, microservices, infrastructure as code, DevOps, application performance, observability, reliability, scalability, and cloud cost optimization is advantageous.
• Comfortable working with globally distributed engineering teams and managing multiple priorities in a fast-moving technical environment.

Benefits:

• Opportunity to work on innovative generative AI and intelligent workflow applications with global business impact.
• Remote work flexibility in India, with the role also available in Pune.
• Exposure to large-scale cloud applications, distributed systems, AI services, and enterprise technology.
• Collaboration with multidisciplinary teams spanning Product, AI/ML, Data, Security, Engineering, and Architecture.
• Opportunity to influence technical architecture, engineering standards, and the evolution of AI-powered sales applications.
• Strong opportunities for technical leadership, mentoring, professional growth, and continuous learning.
• Exposure to emerging technologies and complex engineering challenges at the intersection of AI, software architecture, and cloud infrastructure.
• An environment designed for creative problem-solving, collaboration, innovation, and meaningful technical impact.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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