Lead Forward-Deployed AI Engineer

Urban Ridge Supplies; Mississauga; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

The US Oncology Network is seeking a Lead Forward Deployed Engineer to partner with business and clinical teams, turning complex problems into validated AI-enabled solutions. You will own frontend AI delivery and guide production handoffs with engineering, data, and security teams.

You will work in a hybrid model, embedding with stakeholders to frame problems, build prototypes, and ensure scalable, governed outcomes across enterprise environments.

Qualifications

• 8+ years of experience in building, integrating, troubleshooting, or delivering enterprise software solutions.
• Strong hands-on full-stack engineering across modern web apps, APIs, data, AI services, identity, security, and cloud infrastructure.
• Hands-on experience with React, Node.js, TypeScript, Python and modern web app architecture.
• Proficiency in API diagnostics and browser-based troubleshooting including network requests, authentication, state, errors and performance.
• Hands-on experience with Snowflake and Databricks including data pipelines, lineage, reconciliation, data quality and performance tuning.
• Experience using logs, metrics, traces, dashboards and alerting to perform root-cause analysis and validate end-to-end behavior.
• Demonstrated ability to diagnose issues across applications, integration, data, AI, security and infrastructure layers and determine the path to resolution.
• Experience translating ambiguous business problems into working technical solutions, prototypes or proofs of concept.
• Experience designing or prototyping AI-enabled solutions such as copilots, agents, retrieval-augmented generation, semantic search or workflow automation.

Responsibilities

• Embed with practice and business teams to understand workflows, user needs and outcomes.
• Lead discovery workshops and problem-framing with executives and clinical teams.
• Translate business needs into testable hypotheses and prototype scopes.
• Advise on where AI, automation, data or workflow tech is appropriate and communicate risks clearly.
• Design pragmatic solution approaches using approved enterprise technologies.
• Build working prototypes and proofs of concept for user feedback.
• Apply solid software engineering practices so prototypes are reusable by delivery teams.
• Demonstrate prototypes and decide to stop, refine, or advance the work.
• Identify dependencies early in the engagement and plan a production path.

Skills

Full-stack engineering

React/Node/TypeScript/Python

AI-enabled prototyping

API diagnostics

Security and privacy

Cloud infrastructure

Stakeholder engagement

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

Databricks

Azure AI services

REST APIs

ServiceNow

Salesforce

Python

TypeScript

React

Job description

The US Oncology Network is seeking a Lead Forward Deployed Engineer to partner with business and clinical teams, turning complex problems into validated AI-enabled solutions. You will own frontend AI delivery and guide production handoffs with engineering, data, and security teams.

You will work in a hybrid model, embedding with stakeholders to frame problems, build prototypes, and ensure scalable, governed outcomes across enterprise environments.