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Publié il y a 2 mois

Staff AI Solutions Deployment Developer, Applied AI

@ Urban Ridge Supplies

Toutes ses offres Site Web

Waterloo, Ontario

Temps plein8+ ans d’expérience
Postuler
SIGNAUX

En bref

Google is hiring an AI Solutions Deployment Manager in its Cloud Applied AI team to deliver agentic AI solutions for strategic global customers. The role is a full-time technical consulting position covering customer deployments, debugging and architecture guidance. The posting lists a Canadian salary range of CAD 204,000 to 209,000 plus a 20% bonus target, equity and benefits, and notes that in-person interviews are usually required.

Responsabilités :

  • Contribute to technical engagements from 0-to-1 for customers
  • Mitigate high-stakes customer escalations with architectural guidance
  • Deploy pre-GA features in real-world environments
  • Bridge LLM outputs with deterministic enterprise systems

Résumé des exigences :

  • Bachelor's degree or equivalent practical experience
  • 8 years of customer-facing technical role experience
  • 3 years of coding experience in Python or Java
  • Experience with LLMs, prompt development and conversational AI

Outils et compétences

Google Cloud PlatformSalesforceSAP
Source et dates

Site carrière / système de candidatures · teamtailor

Date publiée par l’employeur
2026-09-24
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-30

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience8 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau, Chez les clients
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré)
Domaines d’étudesScience, Technology, Engineering, Mathematics, Computer Science
Avantages mentionnésPrime de rendement, Actions ou participation

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

Postuler

Urban Ridge Supplies

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.

Supplying high-quality pipes for residential, commercial, and industrial needs.

Description complète de l’entreprise

Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.

Abonnés LinkedIn
14 005
Bureaux déclarés
  • Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
Autres noms enregistrés
  • Urban Ridge Supplies
Le profil indique une agence de recrutement
Non
Toutes ses offres Site Web

Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.

ChampValeur
SecteurWholesale Building Materials
Taille2-10 employees
Siège socialZabeel, Dubai
Type d’organisationPrivately Held
Offres sur Jobsy124
LinkedInVoir la page
Description

This posting is for an existing vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; New York, NY, USA . Minimum qualifications:

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.
  • 3 years of experience writing code in one or more programming languages (e.g., Python, Java).
  • Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks.

Preferred qualifications:

  • Master's degree in Engineering, Computer Science, or related technical fields.
  • Experience building and scaling complex production systems and working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture.
  • Experience with telecom customer deployments, and other similar industries.
  • Experience in technical consulting, navigating the governance, security, and procurement complexities.
  • Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP).
  • Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations.

About The Job

Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience, along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed.

As an AI Solutions Deployment Manager, you will be technical solutions consultant across multiple customer deployments, and a high-visibility team multiplier responsible for turning the promise of Agentic AI into production reality for Google’s most strategic global customers. You will sit at the connection of product, development, and the customer, translating complex business friction into elegant, reasoning-based AI solutions.

In this role, you will contribute to the end-to-end delivery of agentic solutions, working with a group of deployment specialists to implement best practices for delivering at scale and velocity. You will be a builder, a strategic systems thinker, and a master of navigating complex technical and business challenges. You will be working with a group of deployment specialists, incubating new products and defining the best practices that will enable the entire Google Cloud ecosystem.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits

Canada: $204000 - $209000 (CAD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

  • Contribute to technical engagements from 0-to-1, defining the agent’s brain (reasoning paths), hands (API tools), and guardrails to ensure resilient, autonomous infrastructure.
  • Mitigate high-stakes customer escalations, providing direct debugging and architectural guidance to customer developers and C-suite teams.
  • Deploy pre-general availability features in real-world environments to stress-test capabilities, synthesizing field intelligence to directly influence the Google Cloud Product and Developer roadmaps.
  • Advocate for foundational architectural frameworks such as Agent-MVC and pioneer advanced techniques like cyclic reasoning loops to accelerate time-to-value.
  • Bridge the gap between non-deterministic LLM outputs and deterministic enterprise systems (e.g., SAP, Salesforce) to ensure safe, reliable agentic operations within guardrails.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .


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