AI Technical Architect

We are looking for a seasoned Technical Architect to lead engineering excellence across our web application stack. This is a hands-on architectural leadership role; you will own end-to-end technical quality, drive scalable SaaS product design, champion AI-native development practices, and enable developer productivity through intelligent tooling and automation. You will work closely with engineering leadership, product teams, and cross-functional stakeholders to deliver high-impact solutions in a fast-paced, customer-obsessed environment.

The candidate will have responsibilities across the following functions:

Architectural Leadership:

• Own architectural decisions for web applications, APIs, and microservices, in consultation with engineering leadership, ensuring scalability, reliability, and maintainability.
• Drive end-to-end technical quality: code standards, design reviews, NFR (non-functional requirements) definition, and realisation from architecture through deployment.
• Lead architecture definition for SaaS products, including multi-tenancy, extensibility, and platform scalability, ensuring alignment with long-term product roadmap.
• Identify and mitigate technical risks early; escalate proactively to ensure sprint and delivery commitments are protected.
• Lead the design and scaling of SaaS applications, driving best practices around API design, service decomposition, data modelling, and platform architecture.
• Build and scale large-scale, data-driven products typical of analytics and competitive intelligence domains, with a focus on performance, reliability, and domain-specific use case delivery.
• Ensure production readiness: capacity planning, performance tuning, observability, and incident response readiness for all solutions delivered.

AI-Native Development:

• Embed, drive adoption of AI-native practices across the full engineering lifecycle, from technical design and solution architecture to code generation, review, quality assurance and deployment.
• Champion the use of AI-assisted development tools (e. g., Claude, Cursor, GitHub Copilot) as standard practice within the team, not optional augmentation.
• Exposure to designing and building functional agents and developer productivity agents to automate repetitive engineering tasks, including health checks, auto-healing workflows, and support use cases for platform components.

Requirements:

• 10+ years of core software development experience, with significant tenure in product-based companies.
• Proven track record leading engineering teams in dynamic, fast-paced, customer-focused environments with rapid release cycles.
• 5+ years of experience architecting server-side web applications, REST APIs, and microservices at scale.
• Demonstrated experience building and scaling SaaS products, including multi-tenancy, subscription models, and platform extensibility.
• Experience building large-scale, data-driven products in analytics or competitive intelligence domains, domain-specific data apps, insight platforms, or similar.

AI-Native and Productivity Engineering (Mandatory):

• Hands-on, production-grade experience with AI-assisted development tools, such as Claude, Cursor, GitHub Copilot, or equivalent across design, development, and review workflows.
• Proven experience building or operating developer productivity agents for recurring engineering tasks: health checks, auto-healing, and platform support automation.
• Familiarity with agent frameworks, prompt engineering, LLM orchestration, and integrating AI tooling into CI/CD and developer workflows.

Technical Stack:

• Languages: Strong proficiency in Python and related frameworks.
• Databases: Strong SQL, NoSQL exposure - including index management, partitioning, system catalogues, and SQL query tuning.
• DevOps: Docker, Kubernetes.
• Data: Experience with data pipelines, distributed message queues, and stream processing.
• Cloud: Experience creating and managing cloud infrastructure for application deployment and scale.
• Documentation: Proficient in producing Architecture Views, Technology Architecture Blueprints, and Design Specifications.

Skills

API, REST API, cloud, docker, kubernetes, microservices, python