AI Engineer

As an AI Engineer, you will lead the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will report to the Director of Enterprise Architecture and work in a hybrid capacity from our Pune, India office. In this role, you will collaborate with cross-functional teams including data scientists, engineers, and business leaders to ensure AI systems are scalable, secure, and ethically aligned with organizational goals.

Your Responsibilities:

• Architect and implement end-to-end AI solutions that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability.
• Collaborate with data scientists, engineers, and business stakeholders to deliver AI-driven solutions from concept to production.
• Develop and implement advanced AI algorithms and machine learning models tailored to business needs.
• Define solution objectives and establish best practices for model development, testing, deployment, and lifecycle management.
• Ensure compliance with ethical AI standards, data privacy regulations, and industry best practices.
• Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
• Stay current with emerging trends in AI, ML, and data science, and proactively incorporate relevant innovations.
• Communicate architectural vision and promote adoption of AI solutions across the organization.

The Essentials - You Will Have:

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5+ years of experience designing and implementing AI architectures in production environments.
• Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services.
• Strong programming skills in Python, R, Java, or similar languages.
• Deep understanding of data structures, algorithms, and software engineering best practices.
• Proven track record of delivering AI solutions that drive business outcomes.
• Experience leading cross-functional teams and managing complex projects.
• Strong communication and stakeholder management skills.
• Experience with ethical AI practices and data protection compliance.

The Preferred - You Might Also Have:

• Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments.
• Familiarity with MLOps tools and practices for continuous integration, deployment, and monitoring of AI models.
• Strong problem-solving skills and the ability to translate business requirements into scalable technical solutions.
• Experience mentoring and developing talent within AI or data science teams.