Artificial Intelligence Engineer

Role Summary

Were seeking a seasoned AI Tech Lead who combines technical mastery with strategic foresight to guide enterprise AI initiatives from concept to production. You will lead architecture, development, and deployment of intelligent solutions across domains including NLP, computer vision, and predictive analytics.

The ideal candidate is equal parts innovator, mentor, and hands-on builderready to shape the future of intelligent systems and steer cross-functional teams toward high-impact outcomes.

Key Responsibilities

Architect scalable AI systems using deep learning, machine learning, and neural network frameworks

Lead cross-functional teams to design and implement AI solutions for real-world use cases

Define roadmaps and strategy for enterprise AI adoption across business verticals

Evaluate, select, and integrate AI platforms, tools, and cloud infrastructure (Azure ML, AWS Sagemaker, etc.)

Collaborate with data engineers to build robust pipelines and data ingestion frameworks

Drive model experimentation, evaluation, deployment, and monitoring lifecycles

Contribute to IP development, publications, and patents in the AI domain

Ensure AI implementations align with ethical standards and governance policies

Provide guidance and mentorship to data scientists, engineers, and product managers

Required Skills

Hands-on expertise in machine learning, deep learning, and data science methodologies

Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or equivalent frameworks

Solid knowledge of NLP, LLMs, generative AI, and computer vision techniques

Experience deploying models using Docker, Kubernetes, and ML Ops practices

Advanced understanding of cloud platforms (Azure, GCP, AWS) and distributed computing

Familiarity with software architecture principles and system design

Ability to lead technical discussions, influence roadmaps, and communicate complex ideas clearly