Solutions Architect

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