Senior Forward Deployed AI Engineer (Python, Data & GenAI)
TheOpportunity
WearelookingforaseniorForwardDeployedEngineerwhocombinesproduction-gradesoftwareengineering,dataengineering,AIapplicationdevelopment,andclient-facingconsulting.Youwillworkcloselywithbusinessusers,subjectmatterexperts,productowners,andengineeringteamstounderstandcomplexworkflows,rapidlyvalidatesolutionsusingrealdata,removetechnicalblockers,andowndeliverythroughproductionlaunch,stabilization,adoption,andhandover.
WhatYouWillDo
Workwithsubjectmatterexperts,productowners,businessusers,andengineerstomapworkflows,users,data,constraints,anddecisionpoints.
Agreeonthefirstusefulrelease,measurablesuccesscriteria,andapracticalroadmapfromprototypetoproduction.
ProfileunfamiliardatausingPython,pandas,PySpark,andSQLtoassesscoverage,quality,volumes,distributions,edgecases,andfeasibility.
BuildworkingsolutionsusingrealdataandAPIs,validatethemwithusers,anditerativelyhardenthemforproduction.
Design,develop,anddeployenterpriseAIanddataapplicationsusingPython,PySpark,SQL,RESTAPIs,FastAPI,andclouddataplatforms.
BuildClaude-poweredapplications,copilots,andAIworkflowsusingpromptengineering,RAG,vectordatabases,semanticsearch,andagenticAIpatterns.
Designbatch,real-time,andstreamingdatapipelinesandintegrationsacrossenterprisesystems.
ImplementMLOps/LLMOpscapabilities,includinglifecyclemanagement,CI/CD,MLflow,monitoring,deploymentautomation,rollback,andproductionsupport.
Createevaluationdatasetswithsubjectmatterexperts,measuremodelandLLMquality,performstructurederroranalysis,andprioritizeimprovements.
Resolvedata-access,API,identity,network,security,infrastructure,anddeploymentblockerswithtechnicalteams.
Ownpost-go-livemonitoring,incidentdiagnosis,rollback,stabilization,latency,performance,reliability,andcostoptimization.
MeasureadoptionandbusinessimpactusingagreedKPIs,thencompletestructuredhandoverwithrunbooks,supportownership,andknowledgetransfer.
WhatYouBring
10+yearsofexperienceindataengineering,AIapplicationdevelopment,clouddataplatforms,andproductionsoftwareengineering.
Stronghands-onexpertiseinPython,PySpark,SQL,RESTAPIs,FastAPI,Git,Docker,Kubernetes,Airflow,MLflow,CI/CD,anddistributedprocessing.
ExperiencewithClaude,promptengineering,RAG,vectordatabases,semanticsearch,andagenticAIpatterns.
StrongknowledgeofETL/ELT,batchandstreamingpipelines,dataquality,metadata,lineage,observability,andDataOps.
ExperienceoperationalizingMLOps/LLMOps,includingmodellifecyclemanagement,automateddeployment,monitoring,rollback,andproductionsupport.
Knowledgeofenterprisecloudservicesacrosscompute,storage,integration,orchestration,networking,monitoring,security,andcostoptimization.
UnderstandingofIAM/RBAC,encryption,secretsmanagement,privacycontrols,auditability,compliance,andsecuredataaccess.
Abilitytotranslatebusinessrequirementsintoscalabledesigns,definenon-functionalrequirements,estimateeffort,anddriveimplementation.
Financialservicesexperienceandstrongclient-facingskillsacrossdiscovery,rapidprototyping,solutionshaping,workshops,andtechnicalpresentations.
Bachelor'sdegreeinarelevantdiscipline.Cloud,Kubernetes,AIengineering,MLOps,dataengineering,architecture,orsecuritycertificationsarepreferred.
- Locations
- Toronto, Ontario, Canada
- Education
- bachelor degree
- Experience
- 10+ years