AI Engineering Manager

Responsibilities

• Lead, mentor, and manage AI engineering teams, fostering a culture of collaboration, innovation, and continuous learning.
• Provide technical leadership and guidance throughout the AI software development lifecycle.
• Collaborate with Product Managers, Architects, and Engineering teams to translate requirements into scalable AI solutions.
• Guide the design, implementation, testing, and deployment of AI applications and machine learning solutions.
• Review solution designs, architecture, and code to ensure quality, scalability, security, and maintainability.
• Support engineering teams in solving complex technical challenges and making sound technical decisions.
• Ensure adherence to engineering standards, coding best practices, and AI development guidelines.
• Oversee the delivery of AI projects, ensuring quality, timelines, and technical excellence.
• Drive continuous improvement in software engineering processes, development practices, and AI solution quality.
• Guide the development, optimization, and deployment of machine learning models and Generative AI applications.
• Conduct technical reviews, mentor engineers, and support their professional growth.
• Identify technical risks and proactively drive mitigation plans.

Qualifications

• Strong understanding of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI concepts.
• Experience with Large Language Models (LLMs) and modern AI application architectures.
• Knowledge of Agentic AI concepts, AI orchestration, and intelligent automation.
• Experience with Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Experience with model fine-tuning, optimization, and inference strategies.
• Experience with REST APIs, microservices, and distributed systems.
• Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (Azure, AWS, or GCP).
• Knowledge of MLOps, LLMOps, model monitoring, and AI observability.
• Understanding of AI security, governance, and responsible AI principles.

• Strong leadership and people management skills.
• Excellent communication and stakeholder management abilities.
• Strategic thinking with strong analytical and problem-solving capabilities.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong mentoring, coaching, and team development skills.
• Excellent decision-making and organizational skills.
• Ability to influence technical direction across multiple teams.

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field. A Master's degree is a plus.
• Minimum 8 years of experience in software engineering, AI, or machine learning.
• At least 3 years of experience leading AI or software engineering teams.
• Proven experience delivering AI solutions from concept through production deployment.
• Experience managing cross-functional engineering teams and collaborating with product and business stakeholders.
• Hands-on experience with modern AI technologies, machine learning frameworks, and Generative AI solutions.