Solution Architect - Product Engineering & AI Solutions

Job Title : Solution Architect Product Engineering & AI Solutions

Experience : 12+ Years

Location : Remote

Role Overview

We are seeking an experienced Solution Architect to lead the architecture and technical strategy for building innovative software products from concept to market. The ideal candidate should have experience working with startup environments, product engineering teams, cloud-native architectures, and AI-powered solutions.

The Solution Architect will collaborate with Product Managers, Engineering Managers, UX teams, and customers to translate business objectives into scalable and secure technical solutions.

Key Responsibilities
Define end-to-end system architecture for new product development initiatives.
Lead technical discovery, solution design, and architecture reviews.
Create scalable, resilient, and secure cloud-native architectures.
Design multi-tenant SaaS platforms and microservices-based systems.
Evaluate and integrate AI, Machine Learning, LLMs, Automation, and Analytics capabilities into products.
Guide engineering teams on architecture standards, coding best practices, security, and scalability.
Drive technology selection decisions and proof-of-concept initiatives.
Work closely with startups and stakeholders to transform ideas into implementable product roadmaps.
Support product modernization initiatives using AI and automation.
Establish DevOps, CI/CD, observability, performance, and security frameworks.
Participate in customer discussions, technical presentations, and solution workshops.
Required Qualifications
Bachelor's or Master's Degree in Computer Science or related field.
12+ years in software development and architecture.
Proven experience building products from scratch through market launch.
Strong knowledge of Cloud Platforms (AWS, Azure, GCP).
Experience with Microservices, APIs, Event-driven Architecture.
Expertise in SaaS Product Architecture.
Experience working in startup or high-growth product environments.
Strong stakeholder management skills.
Preferred Qualifications
Experience with Generative AI and Large Language Models.
Knowledge of AI Agents, RAG Architecture, and AI Governance.
Experience in Product Engineering Services organizations.
Cloud certifications preferred.
Success Metrics
Product scalability and performance.
Architecture quality and technical debt reduction.
Platform reliability and security compliance.
Faster product delivery cycles.
Successful AI feature adoption.