Design, build, and deploy agentic AI solutions in enterprise customer environmentsWork with a Deployment Strategist and delivery team to co-build production solutionsDevelop AI agents and experiences that take actions for organizationsDesign prompts, reasoning, tool calls, and integrations with customer systemsOwn technical components from architecture selection through production deployment, validation, and observabilityBuild and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platformsModel data, deploy pipelines, and validate outputsBuild and maintain agent performance dashboards and customer KPI reportingContribute to proofs-of-concept and MVPs from concept to deploymentCo-build with customers and partners and share best practices and enablementSurface platform gaps, edge cases, and field insights to senior engineers and product teamsTranslate customer business challenges into deployable agentic solutionsExperiment with emerging AI tools, models, and frameworks and share learningsRequirementsDegree in Computer Science or a related field3+ years of software engineering or technical delivery experience; 6–10 years for Senior levelsAt least one production system to demonstratePrior customer-facing technical delivery experience in consulting, professional services, or forward deployed engineeringExperience delivering customer-facing projects within Public Sector, Higher Education, or Nonprofit environmentsFluency in at least one of Python, JavaScript/TypeScript, Java, or ApexHands-on experience with LLMs and prompt engineeringDeep understanding of data modeling, APIs,



and integration patternsAbility to work with sales teams and customer architectsAbility to ship quality code and evaluate AI outputs with engineering rigorActive experimentation with AI/data tools, models, and frameworksWillingness to travel approximately 25% of the timeSalesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) nice-to-haveFamiliarity with LangChain, LlamaIndex, and orchestration patterns nice-to-haveHands-on experience with Snowflake, Databricks, or BigQuery nice-to-haveExperience in data engineering, platform architecture, or headless deployments nice-to-haveCore CompetenciesDemonstrates expertise in designing and deploying agentic AI solutions, with a robust focus on data modeling, integration patterns, and customer collaboration.
Proficient in leveraging AI tools and frameworks to deliver impactful solutions in enterprise environments.Highest-signal resume keywordsAI Solution DesignData ModelingPython ProgrammingCustomer-Facing Technical DeliverySalesforce Platform ExperienceATS Optimization KeywordsHard SkillsSoftware EngineeringPrompt EngineeringAPIsIntegration PatternsData Pipeline DevelopmentLLMsCode Quality EvaluationData EngineeringPlatform ArchitectureHeadless DeploymentsSoft SkillsCollaborationCustomer EngagementProblem SolvingCertifications & QualificationsSalesforce AdministratorSalesforce Platform Developer IAgentforce SpecialistIndustry KeywordsPublic SectorHigher EducationNonprofitTechnical DeliveryProfessional ServicesTools & TechnologiesSalesforce Data 360SnowflakeDatabricksBigQueryLangChainLlamaIndex
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📌 Forward Deployed Engineer – Public Sector, Nonprofit & Education (Sydney)
🏢 Jobtailor
📍 Sydney