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Java Ai Developer Jobs in Quebec (NOW HIRING)

University degree in Computer Science, Engineering, AI, or related field (or equivalent experience). * Experience developing production-grade Python applications * Demonstrated experience delivering ...

Experience with Java development * Experience with machine learning, vector databases * Cloud-based ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

About the Role We are seeking Senior Java Engineer for a major project in the banking industry in ... Hands-on experience with AI developer productivity tooling (e.g., GitHub Copilot, Amp, or similar)

Leveraging AI coding agents to improve productivity, accelerate development, generate tests, and ... Strong experience in Java application development in enterprise environments * Hands-on experience ...

The Role As a Senior Research and Development Developer at Flexspring, you will design and build ... Experience contributing to AI-powered or data-driven solutions What You Get * Work from home with ...

... AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model ... We are seeking Java Developers with 3-15 years of professional experience to join our high ...

About Behavox Behavox is a cloud-native AI company providing an integrated controls platform for ... product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical ...

About Behavox Behavox is a cloud-native AI company providing an integrated controls platform for ... product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical ...

Expertise approfondie en Python et en Java, avec experience dans la creation d'applications ... TranSenior AI Developer - Capital Markets Technology Location: Montreal (Hybrid) | Practice Area:

Role Overview We are seeking a Senior Full Stack Java Developerand strong cloud experience to ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

... or Java). * Proven experience building and operating productiongrade GenAI / LLM platforms ... Experience designing reusable internal platforms or shared developer tooling. * Frontend experience ...

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Java Ai Developer information

What are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
What are popular job titles related to Java Ai Developer jobs in Quebec? For Java Ai Developer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Java Ai Developer jobs in Quebec look for? The top searched job categories for Java Ai Developer jobs in Quebec are:
Infographic showing various Java Ai Developer job openings in Quebec as of July 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 74% In-person, and 26% Hybrid job distribution.

Full-time

Posted 29 days ago


Job description

At Fiera Capital

We invest in creating a culture of purpose that makes our people feel valued, cared for, seen, and heard. Our approach to employee experience is tailored to your needs and ambitions:

  • Your Inclusive Experience: We are committed to cultivating an inclusive, safe, and trusting work environment.
  • Your Growth & Empowerment: We have ambitious growth goals for our firm, which makes us a great place to advance your career.
  • Your Rewards & Recognition: We deeply value our people and their contributions and that's reflected in our competitive compensation and benefits packages and our collaborative culture.
  • Your Wellness Your Way: We strive to create a healthy work environment and we offer programs designed to support our employees' wellbeing.

What we are looking for:


We are looking for a Senior AI Specialist who combines deep hands-on technical capability with strong stakeholder influence to accelerate AI-driven transformation across Fiera Capital. This is a senior individual-contributor role with broad scope and high autonomy: you will own the end-to-end design, delivery, and operationalization of production-grade agentic and generative AI solutions, while shaping standards, patterns, and guardrails that enable the firm to adopt AI safely and at scale.

You will serve as a trusted advisor to business and technology leaders-translating business priorities into an AI delivery roadmap, guiding teams from experimentation to scalable deployment, and helping establish repeatable practices for evaluation, monitoring, and responsible use. The ideal candidate is comfortable architecting solutions in the morning and leading a cross-functional working session (or coaching analysts and developers) in the afternoon.


Your Responsibilities:

Build and Deploy

  • Lead the architecture, design, and delivery of Generative AI solutions-including multi-step intelligent workflows, autonomous copilots, and task-specific agents-integrated into Fiera's investment and operational processes
  • Select, configure, and integrate Claude, Microsoft Copilot, and other LLM solutions into durable, supportable, production-grade use cases (including versioning, access controls, and operating procedures)
  • Design and manage MCP (Model Context Protocol) Servers, connectors, and retrieval patterns to securely link AI systems with internal data sources, defining reusable integration standards and controls
  • Own and evolve the AI delivery platform stack leveraging Azure AI Foundry and other Microsoft Azure AI services for model orchestration, deployment, observability, and governance
  • Develop high-quality libraries, services, and automations in Python (and related tooling) with an emphasis on testing, reliability, reusability, and secure-by-design delivery
  • Define evaluation frameworks (quality, safety, latency, cost) and success metrics; implement prompt and model testing, red-teaming approaches, and ongoing performance monitoring
  • Serve as a technical lead with cybersecurity, IT, legal, and compliance to ensure AI solutions meet security, privacy, and regulatory expectations; proactively identify risks and drive mitigations to closure
  • Establish and maintain technical documentation, reference architectures, and runbooks that enable long-term maintainability and operational handoff across teams

Enable and Educate:

  • Act as Fiera's internal AI enablement lead-partnering with business and technology leaders to identify high-value opportunities, size impact, and translate them into a prioritized AI adoption roadmap
  • Design and deliver scalable enablement (curriculum, workshops, office hours, and playbooks) for technical and non-technical teams, measuring adoption and effectiveness for tools like Microsoft Copilot, Claude, and emerging agentic workflows
  • Build and govern a centralized knowledge base of AI patterns, prompt libraries, agent templates, evaluation methods, and responsible AI guidelines that teams across the firm can adopt consistently
  • Lead cross-functional delivery with stakeholders in investments, operations, and client services-driving requirements, solution design, change management, and production rollout from pilot through steady-state operations
  • Continuously evaluate the AI landscape (tools, frameworks, protocols, vendors) and provide clear, risk-informed recommendations on what Fiera should adopt, pilot, standardize, or avoid

Must have requirements to be successful in this role:

  • University degree in Computer Science, Engineering, AI, or related field (or equivalent experience).
  • Experience developing production-grade Python applications
  • Demonstrated experience delivering Generative AI / LLM solutions end-to-end (use-case framing, architecture, build, evaluation, deployment, and monitoring) in an enterprise environment.
  • Experience selecting, integrating, and operationalizing modern AI platforms and tools such as:Claude, Microsoft Copilot, Azure AI Foundry, MCP Server / MCP tools
  • Strong experience integrating AI solutions with APIs, enterprise applications, and data sources (including authentication/authorization, secrets management, and secure data access patterns).
  • Strong business acumen: able to prioritize use cases, articulate ROI, and make pragmatic trade-offs between value, risk, cost, and delivery timelines.
  • Proven ability to influence and communicate complex AI concepts clearly to both technical and non-technical audiences-including facilitating workshops, leading stakeholder sessions, and mentoring others.

Nice-to-have (Assets)

  • Strong experience within the Microsoft Azure ecosystem (Azure OpenAI, Azure AI Foundry, Functions, Logic Apps, etc.) and designing cloud-native services.
  • Experience with LLMOps / MLOps / DevOps practices (CI/CD, environment management, observability, incident response) for AI deployments.
  • Experience with data pipelines, SQL, and information management (e.g., document stores/search, RAG patterns, and data quality/governance considerations).
  • Familiarity with responsible AI and governance frameworks (privacy, security, model risk management, and regulatory considerations) and applying them pragmatically in delivery.
  • Experience in investment management, financial services, or other regulated industries with strong security/compliance expectations.

Additional Information:

  • Fiera Capital adheres to a hybrid working environment with 4 days in-office per week.

#LI-Hybrid

For all positions in Quebec (Montreal and Laval), proficiency in French, both spoken and written, is mandatory. Working English proficiency is also required in order to serve our offices and clients around the world.

Fiera Capital subscribes to the principle of employment equity. Our staff is our most valuable asset, and our goal is to create an inclusive and equitable environment where everyone can achieve their true potential.


We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, colour, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or on the basis of disability, genetic information or any other federal, state, or local protected class. Fiera Capital will not tolerate any form of discrimination or harassment.


All staffing decisions, including hiring and promotion decisions, will be based on merit, skills, performance, and business needs. We are pleased to receive applications from qualified individuals from a variety of backgrounds. Job applicants who are individually selected for an interview will be notified that accommodations are available upon request. If a selected participant requests accommodation, Fiera Capital shall consult with the applicant and provide, or arrange for the provision of, suitable accommodation in a manner that considers the applicant's accessibility needs due to disability.


Please stay vigilant and never share personal or confidential information during this hiring process, unless it is through Mintz Global Screening, the secure platform we use to exchange such information. If in doubt, or if you think you have been a victim of fraudulent manoeuvres during your hiring process, please contact us.

Please note that job titles indicated in job postings may differ from internal job titles. Accordingly, offers of employment may not reflect job titles indicated in job postings.

We thank all applicants for their interest in a career with Fiera Capital. We will only contact those selected for an interview.