Technical Architect Cloud AI

Brief Role & Responsibilities:

Role Summary

The Technical Solution Architect will lead customer-facing solutioning, technical pre-sales, and architecture for the Manufacturing AI Suite. The role will work closely with customers, sales teams, and engineering teams to shape opportunities, define solution architectures, drive customer workshops, and convert opportunities into POCs and implementation engagements

Key Responsibilities

• Lead customer discovery sessions, workshops, and solution discussions to understand business challenges and define AI-led transformation opportunities.
• Architect and position Manufacturing AI Suite solutions covering cloud, AI/ML, GenAI, data, integration, and Industry 4.0 requirements.
• Partner with sales and product teams to support opportunity qualification, solution presentations, proposals, RFP/RFI responses, and customer technical discussions.
• Define and lead POCs, prototypes, and technical validation exercises, ensuring successful transition from opportunity to delivery.
• Provide technical leadership to development team and help build reusable accelerators, reference architectures, and solution IP.
• Handson Develop quick prototypes and POCs

Must-Have Skills:

• Customer-facing solution architecture and technical pre-sales
• Technical proposal development, effort estimation, and solution consulting
• Strong stakeholder management, communication, and presentation skills
• Experience leading customer workshops, architecture reviews, and POCs
• Azure Cloud AI Architecture
• OnPrem manufacturing AI application architecture
• AI/ML architecture, MLOps, and data engineering
• ML,DL, GenAI, LLMs, RAG, vector databases, and AI agent frameworks
• Python for AI Automation & Enterprise AI Solutions
• Enterprise Integration, Security & AI Governance
• Manufacturing Digital Transformation & OT/IT Integration
• Enterprise integration, APIs, microservices, and cloud-native architectures
• Containers, Microservices & Kubernetes (AKS/EKS)
• GenAI/LLM Frameworks (Azure OpenAI, RAG, Vector DBs)
• Data Engineering & Analytics (Databricks, Data Lakes)
• DevOps & Infrastructure as Code (Terraform, CI/CD)
• Edge Computing & IoT Platforms
• Agentic AI & Multi-Agent Orchestration (LangGraph, AutoGen, Tool-Calling)
• Vibe Coding / AI-Assisted Development (GitHub Copilot, Cursor, Claude Code)

Good-to-Have Skills:

• Multi cloud including AWS Cloud Architecture will be big plus
• Certifications: Preferred (not mandatory): Azure Solutions Architect Expert or AWS Solutions Architect Professional; Azure AI Engineer Associate (AI-102) or AWS Certified Machine Learning Specialty

Candidates with prior experience in the Manufacturing, Industrial, Smart Manufacturing, or IIoT domain will be preferred