Role overview
*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.*