AI Architect

3 weeks ago

kochi, 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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