Sr. Applied AI Scientist – Generative AI & Agentic Systems

Description

This role sits in the Model Risk Management group in a highly regulated setting and reports to the Director, Generative and Agentic AI Model Validation.

You will lead the building, evaluation and validation of enterprise AI solutions and help set practices for governing generative and agentic AI.

The position falls under the Data Analytics & Reporting job family and suits a senior AI professional who can take complex initiatives from concept through implementation and validation, combining deep technical skill with sound judgment.

The company's purpose is to help customers, communities and employees grow, and it supports staff with training, coaching, manager support and networking.

Responsibilities

• Lead validation of generative AI models and agentic AI systems, covering conceptual soundness, output quality, agent workflows, robustness, and conformity with governance and audit requirements.
• Architect, design and build enterprise AI applications using large language models, retrieval-augmented generation, AI agents and workflow automation to improve business processes.
• Develop scalable software, AI tools and automation using modern AI frameworks and cloud technologies.
• Lead research into new methods, testing approaches and standards for validating emerging generative AI technologies.
• Work with business, technology, risk and governance teams to frame complex problems and turn them into practical, scalable AI solutions.
• Design, run, review and document quantitative testing of AI models and applications, and advise project teams on technical matters.
• Keep project documentation, technical specifications, test evidence and validation artifacts organized and ready for governance and audit.
• Track emerging AI technology and find ways to improve existing solutions and validation approaches.

Requirements

• Master's degree in computer science, artificial intelligence, machine learning, software engineering, data science or another relevant STEM field.
• At least five years of industry experience in AI and machine learning, including hands-on delivery of generative AI solutions in production or enterprise settings.
• Hands-on industry experience with large language models, generative AI, retrieval-augmented generation, AI agents or related technologies.
• Strong programming skills and the ability to build scalable, well-structured applications.
• Familiarity with modern development practices such as Git, version control, testing and code review.
• Grasp of machine learning fundamentals and experience applying quantitative analysis.
• Ability to pick up new technologies quickly and keep pace with a fast-changing AI landscape.
• Strong analytical thinking, curiosity and problem-solving skills.
• Self-motivated, with a sense of ownership, attention to detail and a risk and control mindset.
• Inquisitive, willing to question assumptions, ask sharp questions and keep improving processes.
• A PhD in a relevant discipline is an asset.
• Hands-on experience with cloud AI platforms, modern AI development frameworks or enterprise AI tools is strongly preferred.
• You apply research and critical thinking to unfamiliar problems, weigh alternatives and build well-reasoned solutions.
• You look past the obvious to spot hidden issues, assumptions, dependencies and risks, and focus effort where it counts most.
• You balance analytical depth with practical judgment.
• You quickly turn research and technical ideas into working solutions and concrete deliverables.
• You show advanced coding and problem-solving skills in production or enterprise environments.
• You keep a strong, current command of AI, including emerging technologies, industry developments and evolving terminology.

Conditions

Work location: 100 King Street West.

Application deadline: 11/29/2026.

Salaried role with a pay range of $80,000.00 to $175,000.00, which is the company's pay range and type.

Pay varies by location, skills, experience, education and qualifications, and may include a commission structure.

Part-time pay is pro-rated to the hours regularly worked.

For commission roles, the listed salary is the company's expected first-year target.

Accommodations are available on request for all parts of the selection process.

The company is committed to an inclusive, equitable and accessible workplace.

Benefits

• Health insurance, accident and life insurance, and retirement savings plans.
• Tuition reimbursement.
• Total compensation may include performance-based incentives, discretionary bonuses and other perks and rewards, depending on the pay type of the role.
• Training, coaching, manager support and networking opportunities.