Senior AI Solutions Deployment Manager, Applied AI

Google LLC

Cambridge, MA

JOB DETAILS
SKILLS
Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Best Practices, Business Growth, C Programming Language, Cloud Architecture, Cloud Computing, Computer Science, Consulting, Cross-Functional, Customer Escalations, Customer Experience, Customer Relations, Data Analysis, Debugging Skills, Ecosystems, Embedded Software, English Language, Equal Employment Opportunity (EEO), Federal Government, Field Trials, GCP (Good Clinical Practices), Genetics, Intelligence Analysis, Java, Leadership, Maintenance Services, Mathematics, Mentoring, Model View Controller, Modeling Languages, Operations Research, Performance Tuning/Optimization, Problem Solving Skills, Product Development, Product Planning, Production Systems, Programming Languages, Project/Program Management, Purchasing/Procurement, Python Programming/Scripting Language, Quality Control, Recruiting/Staffing Agency, Regulatory Requirements, SAP, Sales Management, Salesforce.com, Security Monitoring, Software Engineering, Startup, Stress Testing, Team Lead/Manager, Team Player, Technical Consulting, Technical Support, Telecommunications, User Interface/Experience (UI/UX), iOS
LOCATION
Cambridge, MA
POSTED
30+ days ago

Senior AI Solutions Deployment Manager Applied AI - Google CareersCareersCareersSkip navigation linkshomehomeHomeHomework_outlinework_outlineJobsJobsnoogler_hatnoogler_hatStudentsStudentsgooglegoogleHow we workHow we workhandymanhandymanHow we hireHow we hireperson_outlineperson_outlineYour careerYour careerhelp_outlineHelp linkfeedbackSend feedbackmore_vert HelpSend FeedbackSign inCareersCareershomeHomework_outlineJobsexpand_morenoogler_hatStudentsexpand_moregoogleHow we workexpand_morehandymanHow we hireexpand_moreperson_outlineYour careerexpand_morejob detailsarrow_backBack to jobs searchJobs search results3902 jobs matchedCyber Threat Intelligence Analyst Google Threat Intelligence DeliveryHungary | Remote eligibleSoftware Engineer Mobile iOS MapsSan Francisco CA USA Mountain View CA USASenior Software Engineer Performance Optimizations for LLMSunnyvale CA USA Kirkland WA USASolution Architect III Platform Telecommunications Google Cloud FrenchMontreal QC CanadaProduct Manager I Payments Platform Enterprise CreditMountain View CA USAKey Account Executive Google Cloud RetailLondon UKSenior Engineering Lead Organizational Engineering Agent Platform DeepMindLondon UKCustomer Engineer Federal Civilian Agencies Google Public SectorReston VA USA Washington D.C. 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We are committed to building a workforce that is representative of the users we serve creating a culture of belonging and providing an equal employment opportunity regardless of race creed color religion gender sexual orientation gender identityexpression national origin disability age genetic information veteran status marital status pregnancy or related condition including breastfeeding expecting or parents-to-be criminal histories consistent with legal requirements or any other basis protected by law. See also Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.More about usexpand_moreRelated informationexpand_moreEqual opportunityexpand_morePrivacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookieshelpHelpopen_in_newarrow_backBack to jobs searchSenior AI Solutions Deployment Manager Applied AIshare linkCopy linkemailEmail a friendcorporate_fareGoogleplaceWaterloo ON Canada Cambridge MA USA 2 more 1 morebar_chartMidMidExperience driving progress solving problems and mentoring more junior team members deeper expertise and applied knowledge within relevant area.Applyshare linkCopy linkemailEmail a friendinfo_outlineXCanadaThis posting is for an existing vacancy.Note By applying to this position you will have an opportunity to share your preferred working location from the following Waterloo ON Canada Cambridge MA USA New York NY USA.Minimum qualificationsBachelors degree in Science Technology Engineering Mathematics or equivalent practical experience.5 years of experience in customer-facing technical roles e.g. Solutions Architect Forward Deployed Specialist Principal Consultant with a focus on enterprise systems.Experience with Large Language Models LLMs prompt development and conversational AI frameworks.Experience in a programming language e.g. Python Java or Go.Preferred qualificationsMasters 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 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 jobCloud 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 Googles 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.For US applicantsThe US base salary range for this full-time position is 153000-222000 bonus equity benefits. Our salary ranges are determined by role level and location. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus equity or benefits. Learn more about benefits at Google.For Canada applicantsThe Canada base salary range for this full-time position is CAD 166000-170000 bonus equity benefits. Our salary ranges are determined by role level and location. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. Please note that the compensation details listed in Canada role postings reflect the base salary only and do not include bonus equity or benefits. Learn more about benefits at Google. ResponsibilitiesContribute to technical engagements from 0-to-1 defining the agents 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.Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve creating a culture of belonging and providing an equal employment opportunity regardless of race creed color religion gender sexual orientation gender identityexpression national origin disability age genetic information veteran status marital status pregnancy or related condition including breastfeeding expecting or parents-to-be criminal histories consistent with legal requirements or any other basis protected by law. See also Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.If you have a need that requires accommodation please let us know by completing our Accommodations for Applicants form.Google is a global company and in order to facilitate efficient collaboration and communication globally English proficiency is a requirement for all roles unless stated otherwise in the job posting.To all recruitment agencies Google does not accept agency resumes. Please do not forward resumes to our jobs alias Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.Follow Life at Google on More about usAbout usopen_in_newContact usopen_in_newPressopen_in_newRelated InformationInvestor relationsopen_in_newBlogopen_in_newEqual OpportunityGoogle is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve creating a culture of belonging and providing an equal employment opportunity regardless of race creed color religion gender sexual orientation gender identityexpression national origin disability age genetic information veteran status marital status pregnancy or related condition including breastfeeding expecting or parents-to-be criminal histories consistent with legal requirements or any other basis protected by law. See also Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.More about usexpand_moreRelated informationexpand_moreEqual opportunityexpand_morePrivacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookieshelpHelpopen_in_newFollow Life at Google on More about usAbout usopen_in_newContact usopen_in_newPressopen_in_newRelated InformationInvestor relationsopen_in_newBlogopen_in_newEqual OpportunityGoogle is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve creating a culture of belonging and providing an equal employment opportunity regardless of race creed color religion gender sexual orientation gender identityexpression national origin disability age genetic information veteran status marital status pregnancy or related condition including breastfeeding expecting or parents-to-be criminal histories consistent with legal requirements or any other basis protected by law. See also Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.More about usexpand_moreRelated informationexpand_moreEqual opportunityexpand_morePrivacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookieshelpHelpopen_in_newGoogle appsMain menu

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