Senior AI Solutions Architect
Lead AI and ML architecture for enterprise clients — spanning predictive maintenance, fraud detection, and demand forecasting across manufacturing, BFSI, and retail. From PoC to production.
SAP Consulting · AI & ML · Cloud Architecture · Full Stack Engineering · Noida, India (Remote/Hybrid)
Join a team of domain experts solving the hardest enterprise challenges across manufacturing, BFSI, retail, healthcare, and 18+ other industries in 12 countries.
Your work ships to enterprise clients in 12+ countries. Every feature you build, every model you deploy, runs in production — not a demo environment.
Collaborate daily with SAP-certified consultants, AWS architects, and AI engineers who have built and shipped enterprise-scale systems across 22+ industries.
Junior team members are paired with senior domain experts from day one. Knowledge sharing is structured, not accidental — weekly internal sessions and documented playbooks.
Dedicated learning budget for certifications (SAP, AWS, Azure, GCP). Transparent career ladders with defined criteria for each progression step — no subjective promotions.
Lead AI and ML architecture for enterprise clients — spanning predictive maintenance, fraud detection, and demand forecasting across manufacturing, BFSI, and retail. From PoC to production.
Architect and execute AWS and Azure migration programmes for enterprise clients — including IaC, Kubernetes, CI/CD pipelines, DevSecOps, and FinOps cost governance.
Deliver full-cycle SAP S/4HANA or Odoo implementations across manufacturing, trading, and retail — from business process mapping and configuration through go-live and hypercare.
Build production-grade client portals, analytics dashboards, and enterprise web platforms using React, Node.js, and cloud-native infrastructure — deployed to real enterprise users at scale.
We review every application personally — no automated keyword rejection. You'll hear back within 5 business days with a clear decision.
A 30-minute conversation about your background, our team, the role scope, and expectations from both sides. No technical grilling — just a genuine two-way conversation.
A relevant, time-boxed take-home challenge or case study — designed to reflect the actual work you'd do, not abstract puzzle problems. Typically 2–4 hours.
A 60-minute conversation with the domain lead or CTO — discussing your assessment, your approach to real project scenarios, and your long-term goals.
Every application is reviewed personally by our hiring team within 5 business days. We respond to all applicants.
If you have deep expertise in SAP, cloud infrastructure, AI, or enterprise software and don't see an exact match — send a general application. We create roles for the right people.