Solution Architect (FROM SAAS/ ECOMMERCE/ FINTECH)

About The Opportunity A fast-scaling tech consultancy operating at the intersection of SaaS, Fintech, and E-commerce, we help global brands architect, deploy, and scale intelligent AI-driven platforms that power personalization, automation, and real-time decision-making. Our clients span Fortune 500s to high-growth startups—we translate complex business needs into scalable, secure, and intelligent AI architectures leveraging cloud-native stacks, GenAI frameworks, and enterprise-grade data ecosystems.

Role & Responsibilities

• Design end-to-end AI solution blueprints for SaaS, Fintech, and E-commerce clients—covering data pipelines, model orchestration, API gateways, and observability layers.
• Lead AI architecture reviews, aligning technical design with compliance (GDPR, PCI-DSS), scalability targets, and cost-optimization goals.
• Integrate LLMs (OpenAI, Anthropic, Mistral) and vector databases (Pinecone, Weaviate) into client platforms for RAG, agent-based workflows, and real-time recommendation engines.
• Partner with data science and engineering teams to productionize ML models using MLOps tooling (MLflow, SageMaker, DVC) and Kubernetes-based inference services.
• Define cloud architecture on AWS/Azure/GCP—leveraging serverless, event-driven, and containerized patterns to support low-latency AI services.
• Advise on AI governance, model drift detection, bias mitigation, and ethical AI frameworks tailored to regulated verticals (Fintech, Healthcare, E-commerce).

Skills & Qualifications Must-Have

• AWS
• Azure
• GCP
• Python
• LangChain
• TensorFlow
• PyTorch
• MLflow
• Kubernetes
• Apache Airflow
• OpenAI API
• LangGraph
• FAISS
• Pinecone
• GenAI
• LLM
• RAG
• LLMOps
• MLOps
• PCI-DSS
• GDPR

Preferred

• Experience with fintech compliance frameworks (e.g., PSD2, KYC/AML architecture)
• Published AI solutions or case studies in e-commerce personalization or SaaS automation
• Certifications: AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate

Benefits & Culture Highlights

• Work with global clients building next-gen AI products—no internal legacy systems to refactor
• Hybrid flexibility + travel opportunities to client sites across APAC, MEA, and North America
• Access to cutting-edge AI tools, training budgets, and speaking opportunities at major tech conferences Skills: e-commerce,data,commerce,aws,azure,automation,architecture,api,fintech,saas