Postuler

Publié il y a 21 jours

Senior AI Engineer for Observability

@ Bank of Montreal

Toronto, Ontario

7+ ans d’expérience
Postuler
SIGNAUX

En bref

Bank of Montreal is hiring a Senior AI Engineer for Observability to design and run systems that track, evaluate and debug AI models and agent workflows in production. The work covers LLM tracing, automated evaluations, drift monitoring, token cost control and agent governance, with 7-10 years of site reliability engineering experience expected. The role is hybrid, with a salary range of $80,000 to $175,000 and a posted application deadline of November 29, 2026.

Responsabilités :

  • Build observability pipelines to trace LLM and agent calls
  • Design automated evaluations for relevance and hallucination
  • Monitor model drift, latency and error rates in production
  • Define operating boundaries and guardrails for autonomous agents
  • Reduce alert fatigue with anomaly detection and runbooks

Résumé des exigences :

  • Bachelor's degree in computer science or engineering
  • 7-10 years of site reliability engineering experience
  • AI observability engineering experience
  • Proficiency in Python and SQL or LogQL/PromQL
  • Experience with Prometheus, Grafana or Datadog

Outils et compétences

Avantages mentionnés

Assurance maladieAssurance vieRégime de retraiteAide aux études
Source et dates

Site carrière / système de candidatures · phenom

Date publiée par l’employeur
2026-10-20
Première détection par notre source
2026-11-07
Mise à jour du dossier source
2026-11-07

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience7 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer Science, Engineering
Avantages mentionnésRégime de retraite, Aide aux études, Prime de rendement

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Bank of Montreal

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

We’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. ​ You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so you can build a meaningful career and thrive as a part of a winning culture.  ​ Sound like your kind of place? Then we should be co-workers.

Abonnés LinkedIn
529 147
Personnes associées sur LinkedIn
59 168
Bureaux déclarés
  • First Canadian Place, 100 King Street, Toronto, ON M5X 1A1, CA
  • 111 W Monroe St, Chicago, IL 60603, US
Catégories d’activité
  • Wealth Management
  • Finance
  • Banking
  • Financial Services
  • Crowdfunding
Autres noms enregistrés
  • Bank of Montreal
  • BMO
Spécialités
  • Personal Banking
  • Commercial Banking
  • Wealth Management
  • Capital Markets
  • and Asset Management
Le profil indique une agence de recrutement
Non
Investissement total déclaré
8 114 072 573

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

We’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. ​ You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so…

ChampValeur
SecteurFinancial Services
Taille10,001+ employees
Siège socialToronto, ON
Type d’organisationPublic Company
SpécialitésPersonal BankingCommercial BankingWealth ManagementCapital Marketsand Asset Management
Offres sur Jobsy1 089
LinkedInVoir la page
Description

Application Deadline:

11/29/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

Hybrid role

Designs, builds, and maintains systems that track, evaluate, and debug non-deterministic AI models and agent workflows. Trace LLM calls, monitor token usage, detect drift, set up automated evaluations, and govern autonomous agent behaviors in production.

  • Designs and develops machine learning (ML) and deep learning systems.
  • Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
  • Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
  • Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.
  • Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Develops ML algorithms to analyze huge volumes of historical data to make predictions.
  • Runs tests, performs statistical analysis, and interprets test results.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:


  • Bachelor's Degree in Computer Science, Engineering or other relevant domain
  • 7-10 years experience in Site Reliability Engineering
  • Experience in Artificial Intelligence Observability Engineering, facilitating the ability to Automate Detect, Investigate, and Remediate
  • Exposure to Platform Engineering, building AI capabilities
  • Highly proficient in automation, monitoring, observability, buildouts, AI engineering, understand model architectures, evaluation metrics, token usage, and how to spot concept or data drift
  • Experience using Python for custom evaluations and SQL or LogQL/PromQL for querying telemetry, logs, and metrics data.
  • Provision, configure, and standardize observability pipelines, logging sidecars, and centralized dashboards using Prometheus, Grafana, Datadog) to track SLIs/SLOs, handle alert fatigue, and run root cause analysis.
  • Exposure to heavily regulated industry organizations

    • Agent & LLM Tracing: Implement OpenTelemetry-based frameworks to capture step-by-step agent trajectories, spans, prompts, tool calls, and intermediate outputs.
    • Evaluation & Quality Assurance: Design automated evaluation pipelines for relevance, groundedness, hallucination detection, and prompt adherence using LLM-as-a-judge or custom code.
    • Drift & Performance Monitoring: Track model drift, data quality degradation, latency spikes, and error rates across production pipelines.
    • Cost & Token Optimization: Build telemetry and sampling strategies to control high data and inference costs, managing log retention and cardinality.
    • Agent Governance & Guardrails: Define operational boundaries for autonomous AI agents, setting rules for when they can self-remediate.
    • Alert Hygiene & Incident Response: Reduce alert fatigue by replacing static thresholds with dynamic, intelligent anomaly detection and building runbooks for AI failures.

Salary:

$80,000.00 - $175,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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