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Ai Executive Jobs in Quebec (NOW HIRING)

[\]formal is an AI transformation partner dedicated to turning technology promises into real ... About the Role We are seeking a high-performing, consultative Account Executive (AE) to drive new ...

About Devs.ai, an AppDirect Subsidiary Devs.ai is an AI-native incubation inside AppDirect and the ... About You This is a rare opportunity to join Devs.ai as our founding Senior Account Executive ...

About Nakisa Nakisa is a global leader in AI-powered enterprise software for Human Resources ... We are looking for an experienced Enterprise Account Executive who can own the room, drive ...

Data & Digital Structure: Assist the team in structuring HR data sets and files to support administrative efficiencies and future AI model training. * Executive Compensation Support: Partner with the ...

The Executive Assistant will play a key role in helping manage the CEO's day-to-day operations ... Basic familiarity with automation or scripting tools (e.g., Python, APIs, AI tools) is considered ...

$181 - $265/hr

In this role, the Account Executive will operate as a Strategic AI Client Director, partnering with enterprise customers, research institutions, and cloud organizations to deliver high-performance ...

We believe AI should amplify human potential, not replace it, and we build with that conviction in ... You're a CEO without the title - yet. We hand you a venture, the AI infrastructure to build it ...

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Ai Executive information

What is the difference between Ai Executive vs Data Scientist?

AspectAi ExecutiveData Scientist
Required CredentialsBachelor's or master's in AI, Computer Science, or related fields; certifications in AI/MLBachelor's or master's in Data Science, Statistics, Computer Science; certifications in data analysis or ML
Work EnvironmentCorporate or tech companies focusing on AI product developmentResearch labs, tech firms, or industries analyzing data for insights
Employer & Industry UsageOrganizations developing AI solutions, tech startups, large enterprisesBusinesses across sectors using data analysis for decision-making

While both roles require knowledge of AI and data analysis, an Ai Executive typically focuses on strategic AI implementation and leadership, whereas a Data Scientist concentrates on analyzing data to generate insights. The Ai Executive oversees AI projects and aligns them with business goals, while Data Scientists develop models and algorithms to solve specific problems.

What are the most commonly searched types of Ai jobs in Quebec?

The most popular types of Ai jobs in Quebec are:

Infographic showing various Ai Executive job openings in Quebec as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution.

Executive Director, Senior Semantic and AI Lead

Jewish Family Service of Colorado

Montreal, QC

Full-time

Re-posted 16 days ago


Job description

We're seeking someone to join our team as Executive Director, Semantic AI in NFR Data & Analytics to drive the design and delivery of next-generation Data and AI solutions.
You will shape our data-centric and semantic architecture, champion applied AI, and partner closely with SMEs, Ontologists, Data Scientists, and Technology teams to deliver high-impact capabilities.


In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is an Executive Director level position within NFR Data & Analytics, a function in the Legal and Compliance Division responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like graph analytics. Surveillance solutions and other tools help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
> Lead the Montreal Data & Analytics team, fostering excellence, collaboration, and high-impact delivery.
> Own semantic and AI components, translating business needs into scalable, data-centric and AI-centric solutions.
> Integrate Knowledge Graph models with LLM powered and agentic AI systems.
> Lead development of high-performance NLP/ML systems including LLMs, RAG workflows, agentic architectures, and knowledge graph based designs.
> Oversee semantic design activities, including ontology/taxonomy evolution, RDF/OWL modeling, linked-data applications, and core categorical/functional data models.
> Design and implement semantic capabilities such as search, knowledge panels, entity resolution, automated reasoning, and recommendation engines.
> Drive adoption of semantic and AI technologies across Compliance, Legal, and Financial Crimes functions.
> Strengthen measurement and benchmarking of AI effectiveness, including use of LLM-as-a-Judge techniques.
> Support remediation, monitoring, and BAU AI initiatives.
What you'll bring to the role:
> Masters' degree
> 10+ years of experience in data, AI, semantic technologies, or related fields.
> Ability to think critically about appropriate solutions to business problems
> Hands-on experience with NLP/ML, LLMs, RAG, vector stores, agentic workflows, semantic data modeling, taxonomies/ontologies, RDF/OWL, SPARQL, and graph databases.
> Ability to apply data-centric design methodologies.
> Skilled in product ownership, cross-functional leadership, and delivering enterprise-scale semantic/AI capabilities.
> Comfortable working across multiple domains including Risk, Compliance, Financial Crimes, and Operational Risk.
> Passionate about cultivating high-performing teams, shaping strategy, and delivering meaningful impact through Data & AI.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.