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Enterprise Architect - Artificial Intelligence

Enterprise Architect - Artificial Intelligence

XCUTIVES INC.Edison, NJ, United States
23 hours ago
Job type
  • Full-time
Job description

We are seeking a seasoned AI Architect with 10+ years of experience in enterprise architecture, software engineering, and AI / ML solution design. This role demands a strategic thinker and technical leader who can drive AI innovation across the organization, architect scalable solutions, and mentor cross-functional teams. The ideal candidate will have a proven track record of delivering impactful AI systems in complex environments.

Key Responsibilities :

Strategic Leadership

  • Define and lead the enterprise-wide AI strategy and architecture roadmap.
  • Collaborate with executive leadership to align AI initiatives with business objectives.
  • Evaluate emerging AI technologies and guide adoption across business units.

Architecture & Solution Design

  • Architect robust, scalable, and secure AI / ML platforms and solutions.
  • Lead the design of data pipelines, model training workflows, and deployment frameworks.
  • Integrate AI capabilities into existing enterprise systems using APIs and microservices.

    • Governance & Risk Management

  • Establish AI governance frameworks including model lifecycle management, auditability, and ethical AI practices.
  • Ensure compliance with global data privacy regulations (GDPR, CCPA, etc.). Technical Leadership
  • Mentor and guide data scientists, ML engineers, and software developers.
  • Promote best practices in MLOps, DevOps, and cloud-native AI development.
  • Lead technical reviews, architecture boards, and innovation workshops.

    • Performance & Optimization

  • Monitor AI systems in production and optimize for performance, scalability, and cost-efficiency.
  • Implement feedback loops and continuous learning systems for model improvement.

    • Work Environment

  • Must work from either Edison office or customer office for all 5 days

    • Qualifications :

  • Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or related field.
  • 10+ years of experience in software architecture, with 5+ years focused on AI / ML.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP).
  • Strong background in data engineering, distributed systems, and enterprise integration.
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow) and containerization (Docker, Kubernetes).
  • Experience with generative AI, LLMs, and NLP.
  • Certifications in cloud architecture or AI / ML (e.g., AWS Certified Machine Learning, Azure AI Engineer).
  • Familiarity with industry-specific AI applications (e.g., manufacturing, healthcare, finance).
  • Excellent communication, leadership, and stakeholder management skills.
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