Director - Architecture

Director - Architecture

Job Title Technical Architect Industrial AI MLOps Technical Architecture

Job Summary

We are seeking a highly skilled Technical Architect Industrial AI with expertise in MLOps AIML platforms Data Engineering Cloud Architecture and Industrial AI solutions The ideal candidate will be responsible for designing scalable AI platforms defining MLOps frameworks architecting endtoend machine learning solutions and enabling AI adoption across industrial manufacturing engineering and enterprise environments

Key Responsibilities

AI Solution Architecture

Define and implement enterprisewide AIML architecture and technical strategy

Design scalable AI platforms for predictive analytics computer vision generative AI and industrial automation use cases

Architect endtoend AI solutions from data ingestion to model deployment and monitoring

Define reusable AI framework components standards and best practices

Evaluate emerging AI technologies and recommend suitable architectures

MLOps Platform Engineering

Design and implement MLOps pipelines for model development training deployment monitoring and retraining

Establish CICD processes for machine learning workflows

Build automated model lifecycle management and governance frameworks

Define model versioning experiment tracking feature stores and model registries

Implement observability monitoring drift detection and performance management frameworks

Cloud Data Architecture

Architect cloudnative AI solutions using Azure AWS or GCP

Design data pipelines supporting AI and machine learning workloads

Define integration patterns between AI platforms enterprise systems and operational technologies

Ensure security scalability reliability and compliance of AI platforms

Collaborate with Data Engineers Data Scientists and application teams to optimize architecture

Industrial AI Digital Manufacturing

Architect AI solutions for predictive maintenance quality inspection anomaly detection process optimization and digital twins

Design integrations between industrial systems IoT platforms MES ERP and AI platforms

Enable realtime analytics and edge AI capabilities for industrial environments

Support Industry 40 and smart manufacturing initiatives

Required Skills

Strong expertise in MLOps architecture and implementation

Experience with

MLflow

Kubeflow

Azure ML

Databricks

AWS SageMaker

Vertex AI

Expertise in containerization and orchestration

Docker

Kubernetes

OpenShift

Strong understanding of

AIML lifecycle

Model deployment strategies

Feature engineering

Data engineering

AI governance

Experience with CICD tools such as

Azure DevOps

GitHub Actions

Jenkins

GitLab CICD

Preferred Skills

Industrial AI and Manufacturing domain experience

Experience with IoT Edge AI Digital Twins and Industry 40 solutions

Knowledge of Generative AI LLMs RAG and AI Agents

Experience with Spark PySpark Python and MLOps automation

Familiarity with data lakehouses and modern data platforms