Job Description
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Design, build, and deploy agentic AI solutions in enterprise customer environments
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Work with a Deployment Strategist and delivery team to co-build production solutions
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Develop AI agents and experiences that take actions for organizations
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Design prompts, reasoning, tool calls, and integrations with customer systems
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Own technical components from architecture selection through production deployment, validation, and observability
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Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms
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Model data, deploy pipelines, and validate outputs
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Build and maintain agent performance dashboards and customer KPI reporting
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Contribute to proofs-of-concept and MVPs from concept to deployment
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Co-build with customers and partners and share best practices and enablement
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Surface platform gaps, edge cases, and field insights to senior engineers and product teams
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Translate customer business challenges into deployable agentic solutions
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Experiment with emerging AI tools, models, and frameworks and share learnings
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Requirements
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Degree in Computer Science or a related field
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3+ years of software engineering or technical delivery experience; 6–10 years for Senior levels
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At least one production system to demonstrate
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Prior customer-facing technical delivery experience in consulting, professional services, or forward deployed engineering
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Experience delivering customer-facing projects within Public Sector, Higher Education, or Nonprofit environments
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Fluency in at least one of Python,
JavaScript/TypeScript,
Java, or Apex
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Hands-on experience with LLMs and prompt engineering
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Deep understanding of data modeling, APIs, and integration patterns
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Ability to work with sales teams and customer architects
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Ability to ship quality code and evaluate AI outputs with engineering rigor
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Active experimentation with AI/data tools, models, and frameworks
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Willingness to travel approximately 25% of the time
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Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) nice-to-have
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Familiarity with LangChain, LlamaIndex, and orchestration patterns nice-to-have
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Hands-on experience with Snowflake, Databricks, or BigQuery nice-to-have
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Experience in data engineering, platform architecture, or headless deployments nice-to-have
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Core Competencies
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Demonstrates expertise in designing and deploying agentic AI solutions, with a solid focus on data modeling, integration patterns, and customer collaboration. Proficient in leveraging AI tools and frameworks to deliver impactful solutions in enterprise environments.
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Highest-signal resume keywords
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AI Solution Design
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Data Modeling
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Python Programming
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Customer-Facing Technical Delivery
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Salesforce Platform Experience
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ATS Optimization Keywords
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Hard Skills
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Software Engineering
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Prompt Engineering
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APIs
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Integration Patterns
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Data Pipeline Development
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LLMs
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Code Quality Evaluation
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Data Engineering
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Platform Architecture
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Headless Deployments
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Soft Skills
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Collaboration
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Customer Engagement
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Problem Solving
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Certifications & Qualifications
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Salesforce Administrator
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Salesforce Platform Developer I
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Agentforce Specialist
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Industry Keywords
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Public Sector
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Higher Education
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Nonprofit
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Technical Delivery
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Professional Services
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Tools & Technologies
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Salesforce Data 360
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Snowflake
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Databricks
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BigQuery
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LangChain
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LlamaIndex
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📌 Forward Deployed Engineer - Public Sector, Nonprofit & Education (New South Wales)
🏢 Jobtailor
📍 New South Wales