AI Architect

• Posted 12 days ago • Updated 5 hours ago
Full Time
USD $50.00 - 65.00 per hour
Fitment

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Job Details

Skills

  • Large Language Models (LLMs)
  • Use Cases
  • Workflow
  • Training
  • Lifecycle Management
  • Collaboration
  • Generative Artificial Intelligence (AI)
  • Prompt Engineering
  • Python
  • Machine Learning (ML)
  • Cloud Computing
  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Machine Learning Operations (ML Ops)
  • Continuous Integration
  • Continuous Delivery
  • Artificial Intelligence
  • Data Engineering
  • Stakeholder Management

Summary

AI Architect

We are seeking an experienced AI/ML Architect with strong expertise in Generative AI and Large Language Models (LLMs) to design and deliver scalable, enterprise-grade AI solutions. The role involves defining AI architecture, leading end-to-end AI/ML implementation, and working closely with business and technical stakeholders. Automotive domain exposure is a strong plus.

Key Responsibilities
  • Design and own AI/ML and Generative AI architectures aligned with enterprise standards
  • Lead development and deployment of LLM-based solutions and advanced AI use cases
  • Architect and optimize data engineering pipelines and AI/ML workflows
  • Build and govern scalable, secure, and production-ready AI platforms
  • Implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management
  • Collaborate with cross-functional teams to translate business needs into AI solutions
  • Provide architecture governance, best practices, and technical guidance
  • Engage with stakeholders to drive solution alignment, adoption, and delivery

Required Skills & Qualifications
  • Strong experience in AI/ML architecture and enterprise AI solutioning
  • Hands-on expertise in Generative AI, LLMs, prompt engineering, and AI agents
  • Proficiency in Python and AI/ML frameworks
  • Experience with Cloud AI platforms (Azure, AWS, or Google Cloud Platform)
  • Strong understanding of MLOps, CI/CD for AI, and deployment frameworks
  • Solid background in data engineering, data pipelines, and model integration
  • Exposure to the automotive domain is preferred
  • Excellent stakeholder management and architecture governance skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90933573
  • Position Id: a50e4ac498d16f5020dd426a2f2ac485
  • Posted 12 days ago
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