As an AI Engineer, you will contribute to the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will work closely with cross-functional teams including data scientists, software engineers, and partners to build scalable, secure, and ethically responsible AI systems.
You will report to TECHNICAL LEADER - AI
Your Responsibilities:
- Develop AI Solutions: Build and implement AI models and pipelines that integrate with existing IT and data infrastructure, ensuring performance, scalability, and maintainability.
- Collaborate Across Teams: Work with data scientists, engineers, and business teams throughout the AI solution lifecycle from ideation and prototyping to deployment and monitoring.
- Technology Evaluation: Explore and recommend AI/ML frameworks, platforms, and tools (e.g., TensorFlow, PyTorch, cloud AI services) that align with project goals and technical feasibility.
- Follow Best Practices: Apply standards for model development, testing, deployment, and lifecycle management, with a focus on ethical AI and data privacy compliance.
- Support and Learn: Receive mentorship from senior AI leaders while contributing to the organizations AI strategy and adoption.
The Essentials You Will Have:
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 2+ years of experience developing and deploying AI/ML models in production environments.
- Hands-on experience with frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML).
- Strong programming skills in Python, R, Java, or similar languages.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Exposure to cross-functional collaboration and delivering AI solutions that support business outcomes.
The Preferred You Might Also Have:
- Experience deploying AI models on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud setups.
- Familiarity with MLOps practices for continuous integration, deployment, and monitoring.
- Ability to translate business requirements into scalable technical solutions.
- Interest in mentoring and growing within AI or data science teams.
What We Offer:
Our benefits package includes
- Comprehensive mindfulness programs with a premium membership to Calm
- Volunteer Paid Time off available after 6 months of employment for eligible employees
- Company volunteer and donation matching program Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
- Employee Assistance Program
- Personalized wellbeing programs through our OnTrack program
- On-demand digital course library for professional development