AI Architect

2 months ago

india Art Technology and Software Full time

Job Description: AI Architect

Type – Permanent

Mode – Work from Office

Job Summary: As an AI Architect, you will be responsible for designing and implementing innovative AI solutions that align with our strategic goals. You will lead the development of AI-driven architectures, ensuring scalability, performance, and alignment with business goals. This role requires a deep understanding of AI technologies, machine learning models, data engineering, and cloud infrastructure.

Key Responsibilities:

Architect AI Solutions: Design and architect end-to-end AI and machine learning systems tailored to business requirements.Lead Development: Work closely with AI engineers, data scientists, and developers to lead the implementation of AI solutions.Integration with Existing Systems: Integrate AI models with the existing enterprise architecture, ensuring data flow, security, and compliance with industry standards.Technology Roadmap: Develop and maintain an AI strategy and technology roadmap, ensuring alignment with the organization’s goals and industry trends.Research & Innovation: Stay current on AI trends, technologies, and best practices, driving innovation and continuous improvement in AI solutions.Data Management: Oversee the design of data pipelines, storage solutions, and data governance frameworks to support AI and machine learning initiatives.Model Deployment: Define and oversee processes for deploying, monitoring, and maintaining AI models in production environments.Collaboration: Work collaboratively with cross-functional teams (IT, product, analytics) to ensure successful AI system deployment and scalability.Scalability & Performance: Ensure AI models and systems are scalable, high-performing, and optimized for the organization's infrastructure.Compliance & Ethics: Ensure AI solutions adhere to ethical standards, including fairness, accountability, transparency, and privacy compliance (e.g., GDPR).Mentorship: Provide leadership and mentorship to AI and engineering teams, promoting skill development and technical growth.Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI/ML engineering, with at least 2 years in an architectural role.
  • Deep Learning of Machine Learning Frameworks (e.g., TensorFlow, PyTorch, Keras) and AI Techniques (e.g., NLP, computer vision, predictive modelling)
  • Proficiency in programming languages such as Python, R, Java or C++
  • Strong Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and microservices architecture.
  • Experience in Big data techniques (e.g., Hadoop, Spark) and building data pipelines.
  • Expertise in model deployment, monitoring and optimization.
  • Familiarity with DevOps practices and tools for CI/CD pipelines and containerization (Docker, Kubernetes) in AI/ML projects.
  • Excellent communication skills and ability to translate technical concepts to business solutions.

Preferred Qualifications:

  • Experience working with enterprise-level AI/ML systems.
  • Knowledge of MLOps and automated machine learning (AutoML) practices.
  • Experience with AI governance and ethical AI standards.
  • Certifications in AI, machine learning, or cloud architecture.

Key Competencies:

  • Strategic thinking and ability to align AI initiatives with business goals.
  • Problem-solving skills and ability to troubleshoot complex AI systems.
  • Leadership and collaboration skills, able to work with and influence senior stakeholders.
  • Adaptability and willingness to learn new AI technologies and frameworks.

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