AI Solution Architect (FROM SAAS/ ECOMMERCE/ FINTECH)

Actively Reviewing

Beyond Border Consultants

Surat Full-Time 2–4 yrs exp Posted 22 hours ago · Apply by Sep 14, 2026

Job Description

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,azure,automation,data,api,fintech,commerce,architecture,aws,saas

Required Skills

Machine Learning Event-driven architecture Compliance frameworks Adobe Illustrator Python Mistral Weaviate MLflow Kubernetes AWS TensorFlow Apache FAISS