Senior Tech Lead (AI & Software Engineering)

Job Summary

We are looking for an experienced and visionary Senior Tech Lead to drive the development of cutting-edge AI-powered software solutions. As a key technical leader, you will architect, develop, and optimize AI-driven applications, guide engineering teams, and ensure the successful deployment of scalable and high-performance solutions. You should have deep expertise in AI, machine learning, cloud infrastructure, and software engineering best practices.

Key Responsibilities

• Lead the architecture, design, and development of AI-powered software solutions.

• Guide and mentor engineering teams, fostering a culture of innovation, collaboration, and technical excellence.

• Drive the end-to-end lifecycle of AI and software projects, from concept to deployment and optimization.

• Integrate AI models and machine learning algorithms into production systems.

• Oversee cloud-based architectures, ensuring scalability, security, and performance.

• Collaborate with cross-functional teams, including product management and data science, to align technology with business objectives.

• Stay ahead of emerging AI trends, tools, and best practices, advocating for adoption where applicable.

• Establish and enforce coding standards, architectural guidelines, and development best practices.

• Troubleshoot complex technical challenges and provide strategic solutions.

Qualifications and Skills

Education

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Experience

• 8+ years of experience in software development, with a strong focus on backend and cloud-based architectures.

• 5+ years leading engineering teams and driving technical strategy.

• 3+ years of hands-on experience with AI/ML technologies, including deep learning frameworks (TensorFlow, PyTorch, etc.).

Technical Skills

• Expertise in AI and ML, including model development, deployment, and optimization.

• Strong programming skills in Python, Java, or Node.js.

• Deep knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

• Experience with MLOps, CI/CD, and automation for AI pipelines.

• Strong understanding of big data technologies, databases (SQL & NoSQL), and distributed systems.

• Proficiency in scalable microservices architecture and API development.

• Knowledge of NLP, computer vision, and generative AI is a plus.

Soft Skills

• Proven leadership and the ability to inspire and mentor teams.

• Excellent problem-solving and strategic thinking abilities.

• Strong communication and stakeholder management skills.

• Passion for innovation and staying ahead of emerging technologies.

Preferred Qualifications

• Experience in AI-driven product development and real-world deployment.

• Background in AI ethics, responsible AI, and model interpretability.

• Contributions to open-source AI projects or research publications in AI/ML.

This position is hybrid.