Senior Architect

Role Title: Senior Architect

Department: Engineering & Technology

Location: Whitefield, Bangalore.

Employment Type: Full-Time (5 days WFO)

About The Role

We are seeking a Senior Architect to own the complete technology architecture of the company end-to-end. As the technical backbone of the company’s engineering function, you will design scalable distributed systems, robust enterprise solutions, clean APIs, secure integrations, and cutting-edge AI-enabled platforms.

The ideal candidate is a deep technical thinker, strong system designer, practical problem solver, and trusted advisor to engineering, product, and leadership teams.

Key Responsibilities

• End-to-End Architectural Ownership: Own the company’s overall technology architecture across applications, platforms, APIs, integrations, AI systems, infrastructure, and data flows.
• Scalable & Secure Solution Design: Design high-performance, secure, reliable, and maintainable systems tailored for immediate and future business growth. Lead solution architecture for new products, modules, AI capabilities, and partner integrations.
• Standards & Best Practices: Define API design standards, integration patterns, cloud architecture principles, AI system design principles, and software engineering best practices.
• Technical Governance & Reviews: Review system designs, database models, technical proposals, API contracts, AI workflows, and cloud infrastructure choices. Identify technical debt, scalability bottlenecks, security vulnerabilities, and AI governance risks.
• Cross-Functional Collaboration: Partner closely with engineering leads, product managers, DevOps, QA, security, data science/AI teams, and executive stakeholders.
• Cloud-Native & AI Integration Guidance: Guide teams on microservices, event-driven architecture, modular design, observability, AI-assisted workflows, and system reliability.
• Compliance & Security Safeguards: Ensure systems meet strict regulatory compliance, security, auditability, cost-efficiency, and responsible AI usage standards.
• Mentorship & Documentation: Mentor engineers and technical leads to elevate engineering maturity. Maintain technical roadmaps, architecture diagrams, and Architecture Decision Records (ADRs).

Required Experience & Qualifications

• Overall Experience: 15+ years of software engineering experience.
• Leadership Experience: At least 6+ years in an Architect, Principal Engineer, Solution Architect, Enterprise Architect, or Senior Technical Leadership role.
• System Design: Proven track record of designing large-scale distributed systems, microservices, enterprise-grade platforms, and REST/event-driven APIs.
• AI & Automation: Hands-on experience designing and implementing AI-enabled systems, LLM-based applications, AI workflows, or ML-integrated product features.
• Cloud Infrastructure: Strong hands-on cloud experience, preferably within Microsoft Azure . Good understanding of DevOps, CI/CD pipelines, containerization (Docker, Kubernetes), logging, monitoring, and cloud cost management.
• Security & Governance: Deep understanding of secure system design, including OAuth/OIDC, encryption, access control, audit trails, and responsible AI safeguards.
• Decision-Making: Demonstrated ability to evaluate technical trade-offs clearly and communicate complex concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Education: Degree from top-tier engineering institutions (such as IITs, IIITs, NITs, BITS Pilani, or equivalent premier institutes).
• Domain Expertise: Domain experience in Insurance , Fintech , Payments , Lending , or heavily regulated financial environments.
• Integrations: Direct experience building integrations with banks, insurance platforms, payment gateways, ERP platforms, or government systems.
• Advanced AI Technologies: Hands-on experience with AI agents, Retrieval-Augmented Generation (RAG) systems, prompt engineering, model evaluation, AI observability, and AI governance.
• Product Lifecycle: Track record of scaling products from early 0-to-1 architecture to enterprise production platforms.

Key Competencies & Skills

• Technical Mastery: Superior system design, solution design, backend architecture, and hands-on AI system architecture capabilities.
• Execution & Judgment: Pragmatic problem-solving ability with strong technical judgment and an ownership mindset.
• Leadership & Communication: Exceptional stakeholder management, communication skills, and mentorship capability to influence engineering direction.