Senior Engineer / Senior AI / ML Platform Engineer - Strategy & Delivery (US)

Work Location:

United States of America

Hours:

40

Pay Details:

$113,000 - $214,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate's skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs. As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role.

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.

Line of Business:

Technology Solutions

Job Description:

We are looking for a senior AI / ML Platform Engineer to deliver enterprise data services/capabilities and solutions on Azure and GCP.   The perfect candidate will have previous AI / ML cloud experience delivering enterprise data solutions within financial services including knowledge of the security and regulatory requirements.    The role is focused on AI and ML service enablement along with applying AIOPs best practices to and engineering principals to the platform.

You will work in collaboration with cloud engineering, network, security, AI governance groups, and Model risk management to deliver secured Azure AI and ML solutions that meet security policies and standards within TD.    You will collaborate with developers in our platform engineering team and lines of business to implement and continuously improve the framework and tools to support self-service automation of the AI and ML services. 

• Contribute toward the vision and strategy for Generative AI and Machine Learning
• Passionate about deep learning and natural language models
• AIOps/MLOps mindset enabling services and developing pipelines for managing training models and production models. 
• Collaborate with internal application development teams to leverage AI/ML services to solve business objectives.
• Deliver AI / ML POCs to demonstrate examples of how business can solve issues, help train on specific use cases and generate business value
• Understand security, risks and mitigations to load data and training models securely into Cloud
• Partnering with various control partners to help establish AI Security & Governance standards and processes to support GenAI application and model usage
• Partner with Enterprise architecture to establish GenAI Reference architecture/framework and patterns
• Help formulate platform strategy & approach for expanding AI/ML across the hybrid cloud landscape

Depth & Scope:

• Top technical individual contributor expert role with knowledge of specific domain or broad range of engineering frameworks, technology, tools, processes and procedures, as well as broader organization issues and relevant technology
• Advanced and highly specialized knowledge of TD applications, systems, networks, innovation, design activities, best practices, business/organization, Bank standards, and may fulfill a governance role
• Engineering specialist assigned to work autonomously on high profile, complex and/or high risk technology initiatives with significant impact to the organization
• Provides technical leadership/consulting/direction to a larger team on all aspects of engineering

Education & Experience:

• Bachelor's or Graduate degree
• Strong academic background (e.g., computer science, engineering)
• 10+  years relevant experience

Preferred Qualifications:

• AI and ML engineering experience – Azure AI stack or equivalent
• Working knowledge of Google GCP AI stack (Vertex.AI, BigQuery...) a plus
• Experience developing platform orchestration code in Azure Python SDK, Terraform and GitHub Runners
• Strong Prompt Engineering, Python Development and REST API skills
• Strong expertise with delivering Cloud Infrastructure as Code (IAC) leveraging CI/CD pipelines, Terraform and Github Actions.
• Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery and business continuity strategies, as well as performance measurement and monitoring in the cloud
• Must be a self-starter, demonstrated ability to take independent action to achieve results.
• Highly developed critical thinking, anal