The Role

Please note this is an expression of interest only, not a confirmed vacancy. We are currently shortlisting great candidates, so we can move quickly when roles open. Applications are reviewed on a rolling basis, and we will contact you if a suitable opportunity is approved and available.

We're looking for an AI Engineer to join The Foundry and work at the intersection of client delivery and internal capability building. This is a hands-on engineering role where you'll design, build, and ship production-grade AI systems for Bilue's clients across financial services, government, insurance, and retail - while simultaneously contributing to the reference architectures, tooling, and engineering standards that define how AI Labs operates.

This isn't a research role. It's not a prompt-engineering role. You'll be building agentic systems that survive contact with real users, integrating AI into enterprise environments, and setting the quality bar for what "production-grade" means at Bilue.

What You’ll Do

Client Delivery (The Foundry)

- Design and build production-grade AI solutions including agentic systems, memory systems, LLM-powered features, and intelligent automation for enterprise clients.
- Architect cloud-native AI systems on AWS, Azure, or GCP with robust DevOps/LLMOps pipelines for scalability and reliability.
- Integrate AI capabilities into existing enterprise platforms (CRM, ERP, lending systems, claims platforms) through well-designed APIs and data pipelines (leveraging AI of course).
- Lead AI technical delivery within cross-functional squads alongside designers, strategists, and client stakeholders - translating complex AI concepts into high-impact outcomes.
- Implement responsible AI practices including red-teaming, bias testing, evaluation harnesses, and human-in-the-loop design before anything ships.





Internal Capability (The AI Foundry)

- Contribute to Bilue's reference architectures for common delivery patterns: knowledge/context pipelines, agentic systems, LLM integrations, and evaluation frameworks.
- Help define and evolve engineering standards for AI Labs work - code quality, testing approaches, prompt evaluation frameworks, and what "production-grade" means in practice.
- Build reusable tooling, accelerators, and "skills" that make the next project faster and more reliable.
- Participate in model evaluation, cost optimisation, and architecture reviews that sharpen Bilue's technical edge.
- Share knowledge across the engineering team through documentation, tech talks, and hands-on mentoring.

Experience & Mindset

- Demonstrable experience delivering AI or GenAI solutions in a production environment - not just prototypes or demos.
- Strong problem-solving ability and the analytical mindset to work with ambiguous, evolving requirements.
- The ability to communicate technical concepts clearly to non-technical stakeholders and client executives.
- Genuine systems thought leadership - you understand why the system matters, not just how it works.
- A collaborative, low-ego approach, working across teams, clients, and contexts with adaptability.
- Comfort operating in a fast moving environment where you'll work across multiple clients and industries.
- Strong opinions,



weakly held - curious mind with the ability to rapidly evolve when faced with contradictory evidence.

Technical Skills

- Strong programming skills in Python; familiarity with TypeScript or Java is a plus.
- Hands-on experience with AI and agentic frameworks - LangChain, AgentCore , LlamaIndex, LangGraph, CrewAI, vector databases, or similar.
- Working expertise with cloud platforms (AWS, Azure, or GCP)
- Solid understanding of data engineering fundamentals - SQL, ETL/ELT, distributed systems, handling large and unstructured datasets.
- Experience designing and deploying production AI systems with proper observability, monitoring, and evaluation.
- Familiarity with LLMOps practices - prompt versioning, model drift detection, cost monitoring, A/B evaluation.
- Understanding of RESTful APIs, microservices, and enterprise integration patterns.

Bonus Points

- Experience with the AWS AI/ML stack (Bedrock, AgentCore, Strands, SageMaker, Lambda, Step Functions).
- Familiarity with responsible AI frameworks, bias testing tools, or AI governance practices.
- Prior consulting or hyper-scaler experience where you've delivered for external clients under real constraints.
- Contributions to open-source AI projects, AI research, or published technical writing.

Life at Bilue

people-first focus: We're committed to delivering exceptional outcomes for our clients, but we know it starts with our people. You’ll join a values-led team that's collaborative, curious, and genuinely cares about doing outstanding work, together.

Connection that counts: From monthly anchor days and team lunches to our annual offsite, we create intentional moments to connect, collaborate, and celebrate. These aren't just fun perks - they're part of how we work and grow together.

Flexibility that works: We

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📌 Senior AI Engineer — Enterprise AI & Delivery (Australia)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Australia