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