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).
* 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
