Solution Architect

Overview:

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.