Lead Product and AI Solutions Architect

About the role

We are seeking a hands‑on Lead Product and AI Solutions Architect to guide the architecture and evolution of a government‑focused digital marketplace platform. You will work closely with client technology, product and engineering leaders to assess the existing platform, translate product specifications into scalable technical designs, establish AI engineering guardrails and lead a distributed nearshore delivery team.

Key responsibilities

• Assess the existing platform architecture, source code, data model, integrations and engineering practices.
• Translate business and product specifications into scalable architecture, solution designs and implementation plans.
• Define architecture across user experience, application services, APIs, workflows, integrations, security and data layers.
• Design AI‑powered matching, recommendation and intelligent workflow capabilities.
• Define standards and guardrails for AI‑assisted and agentic software engineering.
• Establish measurable controls for model quality, evaluation, security, reliability and delivery productivity.
• Collaborate with client leadership, product owners, designers, engineers and quality teams to clarify scope and resolve architectural decisions.
• Lead architecture reviews, code reviews, technical discovery and solution walkthroughs.
• Guide nearshore engineers and define phased roadmaps, estimates, dependencies, risks and implementation priorities.

Required profile

• 12+ years of software engineering experience, including 4+ years in solution, product or enterprise architecture roles.
• Strong experience designing cloud‑native, multi‑user SaaS, marketplace or workflow‑driven platforms.
• Expertise in application architecture, APIs, microservices, event‑driven systems and integration patterns.
• Strong experience with relational databases, data modelling, authentication, authorization and role‑based access.
• Experience designing AI‑enabled applications using large language models, retrieval, intelligent matching or recommendation capabilities.
• Strong understanding of cloud security, scalability, performance, observability and production engineering.
• Ability to review existing code, identify architectural gaps and provide practical build recommendations.
• Experience leading distributed or nearshore engineering teams and working directly with senior client stakeholders.

Required skills

• Cloud‑native architecture
• SaaS platforms
• Marketplace platforms
• APIs
• Microservices
• Event‑driven systems
• Integration patterns
• Relational databases
• Data modelling
• Authentication
• Authorization
• Role‑based access control
• Large language models
• AI‑enabled applications
• Cloud security
• Scalability
• Performance engineering
• Observability
• Production engineering