Sr. Solution Architect

Looking for a Senior Solution Architect (Full-Stack AI Engineer) to own
end-to-end solutioning—from discovery and architecture to delivery
planning—for global enterprise clients. You will design scalable, secure,
cloud-native solutions spanning AI-driven platforms, full-stack applications,
enterprise integrations, and data/AI pipelines.
Job Responsibilities:
● Lead client discovery workshops to capture business goals, constraints,
and success metrics.
● Design and present enterprise-grade solution architectures (system,
data, integration, security, scalability, performance).
● Create architecture & delivery artifacts: HLD/LLD, diagrams, estimates,
tech stack rationale, roadmap.
● Architect both:
1. AI solutions: LLMs, RAG, agents, NLP, search, personalization, vector
DBs, evaluation, MLOps, Responsible AI.
2. Non-AI solutions: cloud-native microservices, APIs, workflow
automation, modernization, integrations.
● Be a hands-on architect-engineer: prototype critical components and
guide development teams.
● Provide cloud & DevOps leadership: AWS/Azure/GCP, Terraform, CI/CD,
Docker/Kubernetes, observability, DevSecOps.
What You Bring:
● 10–15+ years in software engineering & architecture with enterprise
solutioning experience.
● Strong full-stack engineering background (React/Angular/Vue +
Node/Python/Java/.NET).
● Proven AI solutioning expertise (LLM architecture, RAG/agents, vector
DBs, evaluation & governance).

● Strong cloud architecture + DevOps/IaC: AWS/Azure/GCP, Terraform,
Kubernetes, CI/CD.
● Excellent stakeholder management and client-facing communication.
Preferred Qualifications:
● Experience in EdTech / publishing / content-tech ecosystems (EPUB, XML/DITA,
LMS integrations).
● Familiarity with compliance frameworks: GDPR, SOC2, ISO, Responsible AI.
● Certifications: AWS/Azure Solution Architect, Kubernetes (CKA), Terraform,
AI/ML.