Forward Deployed AI Engineer

Why This Role Exists

J4RVIS is scaling its AI Division as demand for production-grade agentic systems accelerates across our client base. Too many organisations have run an AI pilot that never reached production, because the model was the easy part, and the governance, verification, and change management around it were never built. This role exists to close that gap: a deeply technical, consulting-led engineer who runs discovery, designs the agentic architecture, builds it hands-on, and drives the adoption that makes it stick. You’ll work alongside the AI Director and Principal AI Engineer, turning J4RVIS strategy into a working system in the client’s hands, on one of our core platforms: Salesforce Agentforce, AWS Bedrock, or Google Cloud Platform.

What You’ll Be Doing

• Rn engagements end to end, from the first discovery conversation through to a production system, mapping the client’s workflow and data to find where an agent removes real friction and where it only adds risk.
• Design and build the agentic architecture: orchestration, data hydration, and the semantic layer, then engineer the verification that makes it dependable (pre-flight checks, runtime guardrails, post-hoc audits, evals, and LLM-as-a-judge where it earns its place).
• Embed governance and compliance from day one, using frameworks such as OWASP GenAI and the regulatory standards relevant to the client’s industry, and hold a release that doesn’t meet the verification bar.
• Hold the client relationship across the engagement: manage expectations, demo progress, and tie every technical decision to a commercial outcome the executive can defend.
• Partner with the AI Director and Principal AI Engineer, folding their architectural guidance into the practical solution being built with the client.
• Harvest the playbook, the eval suite, and the reusable harness components at the end of each engagement, so the next one starts further ahead.

What We’re Looking For

Must-have:

• Shipped real agentic systems to production and debugged them under real production pressure. Writes code you’d be happy to inherit.
• Hands-on experience designing, building, and deploying AI agents on enterprise-grade platforms: Salesforce Agentforce, AWS Bedrock, Google Cloud Platform, or comparable.
• Real agentic experience, built with agentic loops and LLMs at a systems level, well beyond prompting. Understands orchestration, evals, and where non-determinism bites.
• Consulting instinct: reads a room, manages a difficult stakeholder, scopes ambiguous work, and ties every technical decision back to business impact.
• Strong production engineering in Python and TypeScript, with a working understanding of the Salesforce surface (Apex, LWC).

Nice-to-have:

• Background in financial services or another regulated sector.
• MLOps and infrastructure fluency: evals tooling, observability, and CI for agentic workflows.
• Experience across more than one of Salesforce Agentforce, AWS, and Google Cloud Platform.
• Relevant platform certifications (for example Salesforce Agentforce or AI, AWS, or Google Cloud).

Why Join J4RVIS

• Do meaningful work: Help shape real transformation for ambitious organisations.
• Accelerate your growth: Work alongside senior operators and ecosystem leaders.
• Own your impact: High-trust environment with real autonomy.
• Be part of something early: Join a Summit Partner still in high-growth mode.
• Work flexibly: Hybrid, remote (Philippines and QLD), and outcome-driven.

Benefits and Perks

• Salesforce, MuleSoft, and Project Management certifications paid for by J4RVIS
• Work From Anywhere for up to 2 weeks a year
• Flexible working arrangements
• 3 months paid parental leave for primary carers
• 2 days of study leave per quarter
• J4You Rewards (Work Anniversary Reward)
• Home office expense allowance
• Work with Salesforce, MuleSoft, AI, and Data experts
• Clear career growth opportunities within a rapidly transforming AI native consultancy

Ready to Apply?

If you’re excited by building something meaningful and want to do the best work of your career, we’d love to hear from you.