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.