- 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

Requirements

- 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

Core Competencies

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.

Highest-signal resume keywords

- AI Solution Design
- Data Modeling
- Python Programming
- Customer-Facing Technical Delivery
- Salesforce Platform Experience

ATS Optimization Keywords

Hard Skills

- Software Engineering
- Prompt Engineering
- APIs
- Integration Patterns
- Data Pipeline Development
- LLMs
- Code Quality Evaluation
- Data Engineering
- Platform Architecture
- Headless Deployments

Soft Skills

- Collaboration
- Customer Engagement
- Problem Solving

Certifications & Qualifications

- Salesforce Administrator
- Salesforce Platform Developer I
- Agentforce Specialist

Industry Keywords

- Public Sector
- Higher Education
- Nonprofit
- Technical Delivery
- Professional Services

Tools & Technologies

- Salesforce Data 360
- Snowflake
- Databricks
- BigQuery
- LangChain
- LlamaIndex

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📌 Forward Deployed Engineer – Public Sector, Nonprofit & Education (Sydney)
🏢 Jobtailor
📍 Sydney