About the Role

You are an architect who works across the full solution lifecycle — from understanding business problems to designing and delivering scalable, enterprise-grade solutions. You bring deep expertise in cloud architecture combined with strong capabilities across AI/GenAI and/or Data Architecture. You are equally comfortable engaging with executive stakeholders as you are leading deep technical design discussions.

Key Responsibilities

Design and lead end-to-end architecture for AI and data-intensive enterprise solutions aligned to business outcomes
Lead architecture design sessions and present solutions to stakeholders across technical and business levels
Define non-functional requirements (availability, performance, security, compliance, cost) as core design inputs
Drive architectural trade-offs and decision-making under constraints, ensuring clarity and alignment
Lead or support pre-sales engagements including solution shaping, RFP responses, and client presentations
Own architectural integrity across delivery, ensuring solutions are built as designed
Develop reusable frameworks, reference architectures, and accelerators
Support or lead effort estimation, identifying risks and defining delivery assumptions
Mentor engineers and junior architects, elevating architecture capability across teams
Act as a trusted advisor to stakeholders, including senior leadership, on architecture and technology decisions

Qualifications

10–15+ years in software engineering, cloud architecture, or distributed systems
Proven experience delivering end-to-end solutions in complex, multi-stakeholder environments
Hands-on implementation background with real-world systems at scale
Experience working with business stakeholders and translating requirements into solutions
Exposure to pre-sales, consulting, or client-facing roles is advantageous
Experience in regulated industries such as BFSI, Telco, or Healthcare is preferred
For senior candidates: experience leading multi-workstream programs and governing architecture across engagements

Skills

Architecture — Required
Enterprise-grade design including security, resilience, scalability, and operability
Strong architectural decision-making with clear trade-offs and documentation
Experience in defining and governing architecture standards
Ability to estimate, scope, and communicate risks in complex projects

Cloud — Required
Deep expertise in AWS with cloud-native architecture patterns
Experience with compute, storage, networking, security, and observability
Experience with Infrastructure as Code, CI/CD, and multi-environment deployments
Understanding of multi-account and multi-region architecture
Multi-cloud awareness is a plus

Specialization — Deep in One or More Areas
AI: model serving, fine-tuning pipelines, inference optimization, evaluation frameworks
GenAI / Agentic AI: multi-agent orchestration, tool usage, memory/context handling, governance
Data Architecture: data platforms, pipelines (batch & real-time), governance, lineage, storage systems
For senior candidates: ability to connect AI, data, and cloud into enterprise-scale solutions

AWS Certifications — Desired
AWS Certified Solutions Architect – Professional
AWS Certified Machine Learning – Specialty or ML Engineer – Associate
AWS Certified Generative AI Developer – Professional
AWS Certified Data Engineer – Associate or Data Analytics – Specialty
AWS Certified Security – Specialty

Solutions Architect