JOB DESCRIPTION 

• Define the enterprise AI architecture strategy supporting business transformation initiatives across manufacturing and corporate functions. 
• Partner with business leaders to identify high-value AI use cases and develop scalable solution roadmaps. 
• Design enterprise solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, vector databases, and cloud AI platforms. 
• Establish AI governance, security, responsible AI, and model lifecycle management standards. 
• Provide technical leadership to AI engineering teams and guide architecture decisions from proof of concept through production deployment. 
• Evaluate emerging AI technologies and recommend enterprise adoption strategies that align with business objectives. 
• Collaborate with cybersecurity, infrastructure, data, cloud, and application teams to ensure scalable and secure AI implementations. 
• Communicate AI strategy and architecture recommendations to executive leadership and technical stakeholders. 

Working Location: US

REQUIREMENTS

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related discipline. 
• 10+ years of software engineering or enterprise solution architecture experience with at least 5 years focused on AI/ML technologies. 
• Strong business acumen with the ability to understand complex enterprise processes and translate business needs into scalable AI solutions. 
• Hands-on experience with Python, OpenAI, Azure AI, AWS Bedrock, LangChain, LangGraph, vector databases, APIs, Kubernetes, Docker, and cloud-native architectures. 
• Excellent communication, stakeholder management, and executive presentation skills. 

Preferred Qualifications 

• Experience within the automotive, manufacturing, or industrial sector. 
• Knowledge of enterprise digital transformation and Industry 4.0 initiatives. 
• AI or cloud platform certifications and experience with MLOps and AI governance frameworks. 

HOW TO APPLY

Please send your application via email: [email protected] 

*By submitting your application to [email protected], you acknowledge that you have read, understood, and agreed to CMC Global’s REGULATIONS ON THE PROTECTION OF CANDIDATES’ PERSONAL INFORMATION.