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

Technical Skills

• 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.

Leadership & Soft Skills

• 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.

Experience Requirements

• 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.

AMAN Holding