Technical Architect

Role Overview

We are looking for an experienced Technical Architect to lead technical discovery and define end to end architecture for complex products and platforms. The ideal candidate will bring extensive experience in enterprise architecture, cloud infrastructure, distributed systems, AI architecture, security, and production ready engineering practices. This role involves guiding technical teams, advising senior stakeholders, managing architectural risks, and ensuring scalable, secure, and maintainable technology solutions.

Key Responsibilities

1. Lead technical discovery and define the end to end architecture for complex products and platforms.
2. Translate business goals and non functional requirements into clear decisions across applications, data, integration, identity, security, AI, deployment, monitoring, resilience, and support.
3. Define reusable patterns, reference architectures, and practical engineering guardrails for project teams.
4. Lead technology choices and explain trade offs across security, scalability, maintainability, cost, delivery speed, portability, and vendor dependency.
5. Design enterprise patterns for RAG, agents, orchestration, evaluation, model routing, memory, LLMOps, and responsible AI.
6. Review critical solution designs, architecture decisions, security considerations, and production readiness plans.
7. Guide Tech Leads, resolve cross team design issues, and work directly on high risk or technically difficult areas when required.
8. Identify architectural risks early and agree on practical mitigation and fallback options.
9. Lead technical discussions with senior client, business, security, data, and technology stakeholders.
10. Support proposals, estimates, implementation roadmaps, and technical due diligence for new opportunities.
11. Improve consistency and reuse across projects without imposing unnecessary constraints.

Qualifications

1. A bachelor s or master s degree in Computer Science or a related field, or equivalent practical experience.
2. 9 12 years of software engineering experience, including ownership of architecture for complex production systems.
3. Experience guiding multiple engineering teams, systems, or major workstreams.
4. Deep knowledge of distributed systems, APIs, integration patterns, cloud architecture, security, data platforms, and modern application development.
5. Strong understanding of enterprise AI architecture, including RAG, agentic systems, evaluation, observability, privacy, governance, and operational controls.
6. A track record of making and explaining architectural trade offs to both engineers and senior stakeholders.
7. Technical DepthAzure and AWS architecture across compute, containers, serverless, networking, identity, security, data, AI, monitoring, and cost management.
8. Microservices and modular monoliths, event driven architecture, queues, caching, API management, and distributed system reliability.
9. Identity and access management, secrets and key management, network controls, threat modelling, auditability, privacy, and software supply chain security.
10. AI platform patterns, including model gateways, provider abstraction, vector search, content ingestion, evaluation pipelines, tracing, guardrails, and human oversight.
11. Platform engineering practices, including CI/CD, infrastructure as code, environment strategy, service level objectives, disaster recovery, performance engineering, and FinOps.
12. Ability to produce architecture diagrams, decision records, standards, and reference architectures.

Selection Process

1. Round 1: Technical Round 1.5 hours
2. Round 2: Technical Round 1.5 hours