About the role

Director of AI at Apply Digital guiding the design of AI-enabled solutions in client engagements. Serving as a senior AI, LLM, and Data Science Subject Matter Expert across engagements.

Responsibilities

Act as the AI, LLM, and Data Science SME on client engagements, supporting discovery, solution design, and delivery activities.
Lead technical discussions with client stakeholders to assess AI readiness, data availability, architectural considerations, and feasibility.
Design and guide AI solution approaches, including: Large language model–based applications (e.g., retrieval-augmented generation, orchestration, evaluation). Applied machine learning and data science workflows. Integration with enterprise data platforms and digital systems.
Collaborate with data engineers, platform engineers, and application teams to ensure AI solutions align with cloud-native architectures and delivery standards.
Support the progression of AI initiatives from early experimentation into implementation phases suitable for broader organizational adoption.
Advise on evaluation, monitoring, and operational considerations for AI and machine learning solutions.
Embed responsible AI, privacy, security, and compliance considerations into solution design and delivery.
Partner with cross foundational teams to support proposals, discovery workshops, and active client engagements.
Contribute to reusable AI patterns, approaches, and documentation that can be leveraged across multiple clients.
Stay current with emerging AI, LLM, and data science techniques, applying new capabilities where they provide clear value.

8+ years of experience working with AI, data science, or machine learning in enterprise or consulting environments.
Demonstrated experience acting as a subject matter expert on complex, client-facing technical initiatives.
Master’s degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a related field is required.
Strong understanding of modern AI approaches, including large language models and applied machine learning.
Experience designing AI solutions that integrate with enterprise data platforms and cloud-native architectures.
Exposure to MLOps or LLMOps practices, including deployment, monitoring, and lifecycle management.
Familiarity with data science workflows, model evaluation, and performance trade-offs.
Solid understanding of data privacy, security, and compliance considerations related to AI systems.
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
Strong analytical and problem-solving skills, with sound judgment in balancing innovation, risk, and practicality.

Great projects: Broaden your skills on a range of engaging projects with international brands that have a global impact.
An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.
Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.
Generous vacation policy: Work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.
Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.
Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.