Technical Architect

Advance Career Solutions; Hyderabad, Pune District, Bengaluru; Hybrid; INR 400,000 - 650,000; Full time

Job summary

Advance Career Solutions is seeking a Technical Architect specialized in Industrial AI to lead the design of scalable AI platforms and end-to-end ML solutions across industrial manufacturing and enterprise environments.

The role emphasizes MLOps, cloud architecture, data engineering, and AI adoption in manufacturing, engineering, and operations. The candidate will drive architecture choices, establish governance, and collaborate with cross-functional teams.

Qualifications

• Strong expertise in designing scalable AI platforms and end-to-end ML solutions.
• Experience defining MLOps frameworks and enterprise AI strategy.
• Ability to collaborate with data engineers, data scientists and application teams.

Responsibilities

• AI Solution Architecture: define enterprisewide AIML architecture and technical strategy.
• Design scalable AI platforms for predictive analytics, computer vision, generative AI and industrial automation.
• Architect endtoend AI solutions from data ingestion to 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.
• CI/CD processes for machine learning workflows and model lifecycle governance.
• Cloud Data Architecture: architect cloud-native AI solutions using Azure, AWS or GCP and design data pipelines.
• Industrial AI Digital Manufacturing: design integrations between industrial systems, IoT, MES, ERP and AI platforms.

Skills

MLOps architecture

Data engineering

Cloud architecture

Industrial AI

AI platforms

MLOps pipelines

Tools

Azure

AWS

GCP

Spark

PySpark

Python

CI/CD

Job description

Location: PAN India

Exp Range: 15+

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

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 automationFamiliarity with data lakehouses and modern data platforms