Solutions Architect (Lead)
AI Summary
Lead technical pre-sales and solution architecture for AI-driven enterprise workloads. Own discovery, Well-Architected Reviews, hands-on implementation, standards, and mentor Cloud Engineers.
About this role
About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations—combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Be the founding technical hire and authority of the practice — own pre-sales architecture, Well-Architected Reviews and FTRs, deliver hands-on, produce the evidence behind designations and competencies, and grow the engineering bench.
Requirements
Key responsibilities
- Lead technical pre-sales: discovery, solutioning, estimation and proposal architecture.
- Run Well-Architected Framework Reviews (WAFR) and Foundational Technical Reviews (FTR).
- Deliver hands-on alongside the early engineering team (you are a builder, not just a reviewer).
- Own the technical evidence and case studies behind Service Delivery designations and the AI Competency.
- Set architecture standards and reusable IP (landing zones, reference architectures, accelerators).
- Mentor the Cloud Engineers and drive the certification ladder; grow into people-leadership as the team scales.
Experience & skills
- 8+ years in solutions architecture / cloud engineering, with deep, current AWS expertise across compute, networking, data and security.
- Proven delivery of migrations and modernizations at scale; strong Well-Architected fluency.
- Hands-on IaC mastery (Terraform / CloudFormation / CDK) and containers (ECS/EKS) — the local-market baseline for senior AWS roles.
- Customer-facing gravitas — able to lead architecture conversations with enterprise CTOs/CIOs.
- Comfortable being the first SA in a greenfield practice and mentoring junior engineers.
Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply.
Benefits
Benefits
- Provident Fund
- Gym Membership
- Leaves as per the company policy
- Company-paid trips
- Easy Loan Facility for Employees
- Yearly increment
- Maternity Benefits (Leaves & WFH)
- Health Insurance (Maternity covered) – includes spouse and parents (till age 80)
Skills
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