Senior Forward-Deployed AI Engineer 1

17 days ago

Toronto, CanadaSenior

Responsibilities

Scope business problems and select solutions across rules, automation, classical ML, and GenAI/agents.
Embed in cross-unit squads and lead application builds from initial scoping through production delivery.
Design, build, and ship production-grade AI agents, automation, multi-agent systems, and Model Context Protocol servers.
Integrate AI solutions with enterprise systems and platforms including Google Cloud, Amazon Bedrock, Salesforce, and ServiceNow.
Partner with stakeholders to create scalable, reusable solutions with high adoption and measurable business impact.
Mentor and pair with an early-career engineer.
Own evaluation standards and quality practices for agentic systems depending on experience.

4–7 years of software engineering experience, including 2–3 years of hands-on GenAI or agent experience.
Experience automating on enterprise platforms such as Google Cloud and Amazon Bedrock, with familiarity with Google, Salesforce, and ServiceNow.
Demonstrated experience shipping AI products with measurable financial outcomes such as cost reductions or productivity gains.
Experience setting up evaluation and observability for agentic systems.
Prior client-facing, consulting, or forward-deployed delivery experience.
Exposure to MLOps or LLMOps for production deployment and monitoring.
Open-source contributions or published work in the agent or LLM space.
Preferred experience designing and deploying AI systems on a major cloud platform.
Preferred production experience building agent skills and tools, Model Context Protocol servers, and multi-agent workflows.
Preferred experience building data pipelines over structured and unstructured data using vector databases and retrieval-augmented architectures.
Strong software engineering foundation, including Python, APIs, and integration with production enterprise systems.
Adequate knowledge of French is required for positions in Quebec.

Regular full-time employment with a comprehensive compensation and benefits package.
Medical, dental, vision, and mental health benefits eligible from the start of employment.
35% discount on Bell services and access to exclusive partner offers.
Hybrid work arrangement in Toronto, Canada, requiring successful candidates to be based in Canada and work from a Bell office at least three days per week.
Flexible work hours based on business needs.

Google CloudPython