Engineer II AI (B3617)

Work Location:

Hours:

Line of Business:

Pay Details:

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidates skills and experience job-related knowledge geographic location and other specific business and organizational needs.

As a candidate you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

The AI Engineer is responsible for designing building and deploying AI/ML solutions that enhance business processes improve decision-making and enable automation. This role combines software engineering data science and machine learning expertise to develop scalable AI systems in production environments.

Key Responsibilities

• Develop end-to-end pipelines including data preprocessing feature engineering validation and deployment.
• Fine-tune LLM-based applications using frameworks like LangChain LangSmith or OpenAI APIs.
• Deploy models into production using CI/CD pipeline.
• Build scalable microservices or APIs to serve ML models in real time.
• Implement monitoring for model drift performance and reliability.
• Collaborate with data engineering teams to define data requirements.
• Work with structured and unstructured datasets using Python SQL Spark Pandas etc.
• Ensure data quality governance and security
• Evaluate new AI frameworks tools and techniques.
• Prototype solutions and run experiments to explore feasibility.
• Stay up to date with advancements in LLMs vector embeddings multimodal AI and model compression/optimization.
• Work with product managers and business teams to translate business problems into AI solutions.
• Partner with cloud engineers and DevOps teams for scalable deployment.
• Communicate complex technical concepts to non-technical stakeholders.

KEY ACCOUNTABILITIES

CUSTOMER

• Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision manage and support various technologies have the necessary tools processes and documentation required to effectively execute on their respective mandates
• Execute on Engineering strategy as it relates to the introduction of tools and the automation of build test release and configure activities across Application Platform and Infrastructure
• Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application Platform or Infrastructure releases
• Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
• Act as the expert or lead innovator and agent of change for the programs and services under management
• Work with other teams to implement best practices for engineering and management
• Work with vendor platform providers and engineering peers to keep abreast of trends products frameworks and applications
• Identify and effectively manage stakeholder engagement and impacts across the enterprise
• Interpret client needs assess engineering related requirements and identify solutions to non-standard requests

SHAREHOLDER

• Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline
• Monitor and control costs within own work
• May interact with governance and control groups (e.g. regulatory / operational risk compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools
• May develop and/or contribute to negotiations of third party contracts/agreements
• Maintain knowledge and understanding of external development engineering and emerging solutions market conditions and their impact
• Proactively identify emerging technologies and innovative solutions for building more robust platform domains

EMPLOYEE / TEAM

• Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends new technologies and best practices in the external market that can contribute to delivering effective client solutions
• Prioritize and manage own workload in order to deliver quality results and meet timelines
• Support a positive work environment that promotes service to the business quality innovation and teamwork and ensure timely communication of issues/ points of interest
• Participate in knowledge transfer with senior management the team other technical areas and business units
• Work effectively as a team supporting other members of the team in achieving business objectives and providing client services
• Identify and recommend opportunities to enhance productivity effectiveness and operational efficiency of the business unit and/or team

BREADTH & DEPTH

• Expert knowledge of specific domain or range of engineering frameworks technology tools processes and procedures as well as organization issues
• Expert knowledge of TD applications systems networks innovation design activities best practices business / organization Bank standards and may fulfill a governance role
• Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities
• Acts as a key contributor in a complex and critical environment
• May provide leadership to teams or projects; shares expertise
• Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations
• Generally reports to a Senior Manager or above

EXPERIENCE & EDUCATION

• University or post-graduate degree
• Strong academic background (e.g. computer science engineering)
• 7 years relevant experience
• Strong programming skills in Python (NumPy Pandas Scikit-learn PyTorch or TensorFlow).
• Experience with LLMs NLP or deep learning.
• Knowledge of MLOps tools: MLflow Kubeflow Airflow Docker Kubernetes.
• Experience with cloud platforms (AWS/GCP/Azure) and model deployment.
• Understanding of data structures algorithms and software engineering best practices.
• Problem-solving and analytical thinking.
• Ability to design scalable maintainable systems.
• Strong communication and documentation skills.
• Collaboration in agile or cross-functional team environments.

Preferred Qualifications (Nice to Have)

• Bachelors or Masters degree in Computer Science Engineering Data Science or related field.
• Experience building large-scale AI systems or enterprise-grade ML applications.
• Experience working in regulated industries.
• Knowledge of vector databases RAG systems or generative AI applications.

Who We Are:

TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day we deliver legendary customer experiences to over 27 million households and businesses in Canada the United States and around the world. More than 95000 TD colleagues bring their skills talent and creativity to the Bank those we serve and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers communities and colleagues.

TD is deeply committed to being a leader in customer experience that is why we believe that all colleagues no matter where they work are customer facing. As we build our business and deliver on our strategy we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether youve got years of banking experience or are just starting your career in financial services we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs were here to support you towards your goals. As an organization we keep growing and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial physical and mental well-being goals. Total Rewards at TD includes a base salary variable compensation and several other key plans such as health and well-being benefits savings and retirement programs paid time off banking benefits and discounts career development and reward and recognition programs. Learn more

Additional Information:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.

Colleague Development
If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll have regular career development and performance conversations with your manager as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience or you want to coach and inspire your colleagues there are many different career paths within our organization at TD and were committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms captioning for virtual interviews etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):