AI Data Architect

Must Have Technical/Functional Skills

Must Have Experience :

10 years in data / analytics architecture with strong manufacturing or industrial experience

3 years designing and deploying AI/ML and/or GenAI solutions in production

Hands on experience with plant data time series analytics and OT/IT integration

Strong consulting skills: structured problem solving executive communication workshop facilitation

Preferred Skills

Cloud platforms (Azure / AWS / GCP) Databricks or Snowflake

Streaming (Kafka / Event Hubs) ML platforms (MLflow Azure ML SageMaker)

GenAI platforms (Azure OpenAI Bedrock Vertex AI) and vector databases

Exposure to digital thread smart factory or digital twin initiatives

Roles & Responsibilities

Background : We are looking for an AI & Data Architect with strong manufacturing domain expertise and consulting mindset to help industrial enterprises design deploy and scale data and AI platforms across plants and enterprise systems. This role bridges operations engineering and IT translating manufacturing priorities into secure governed and production grade AI solutions that deliver measurable business outcomes.

Travel: 25 50% (plants client workshops exec reviews)

What You Will Do

Lead plant to enterprise discovery workshops with Operations Engineering Quality Supply Chain and IT leaders

Develop Solutions to respond to RFQ from the manufacturing customers

Translate manufacturing challenges into AI use cases (predictive maintenance quality yield throughput inventory service)

Architect OT IT data platforms integrating historians MES ERP and cloud platforms

Design and guide delivery of AI/ML and GenAI solutions (time series ML computer vision RAG based copilots)

Define MLOps / LLMOps frameworks for industrial environments

Create executive ready architectures roadmaps and value stories

Act as a trusted advisor during plant visits architecture reviews and steering committees

Core Architecture Focus

OT/IT Integration: PLC/SCADA/DCS historians (PI/Aveva) MES ERP (SAP) PLM QMS

Data Platforms: Lakehouse streaming/event-driven time series architectures

AI / GenAI: Predictive analytics anomaly detection computer vision maintenance & operations copilots

Security & Governance: Industrial cybersecurity awareness data governance responsible AI human in the loop

Key Deliverables

Plant to enterprise AI & Data target architecture

Manufacturing AI roadmap (pilot scale across plants)

Digital thread architecture linking design production quality and service

Industrial MLOps / LLMOps framework

Executive level value realization dashboards