other
Added 2 weeks agoSr. Solution Architect
Mumbai, IndiaOn-site
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.
Requirements
- 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
- 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.