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 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
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
Skilled 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