17 days ago
Sydney, AustraliaStaff+
Responsibilities
- Own AI solution delivery from problem framing and feasibility assessment through architecture, implementation, production release, and continuous improvement.
- Design enterprise architectures connecting AI capabilities with applications, APIs, data platforms, identity, security, and operational controls.
- Build or review critical software components and guide engineering decisions around quality, cost, speed, and maintainability.
- Develop production agentic applications using retrieval-augmented generation, MCP, function and tool calling, structured outputs, and multi-agent workflows.
- Design inference architectures, model routing, caching, semantic retrieval, vector databases, evaluation pipelines, observability, and cost optimization.
- Define evaluation criteria, test sets, feedback loops, and monitoring for accuracy, reliability, safety, latency, cost, and business impact.
- Implement responsible AI guardrails, human oversight, access controls, privacy protections, and auditability with security, privacy, risk, and legal partners.
- Collaborate with product owners, business leaders, architects, data specialists, and delivery teams to create achievable technical roadmaps.
- Mentor engineers, develop reusable patterns and reference implementations, and communicate technical recommendations to senior technical and non-technical stakeholders.
Requirements
- Typically 10–12 years of professional experience in software engineering, solution architecture, platform engineering, or related enterprise technology roles.
- Demonstrated experience designing and delivering production enterprise applications, integrations, or digital platforms in complex, regulated, or security-conscious environments.
- Recent hands-on experience implementing AI-enabled solutions such as agentic applications, retrieval-augmented generation, intelligent workflow automation, or machine-learning services.
- Strong software engineering fundamentals, including API design, distributed systems, automated testing, version control, observability, and secure development practices.
- Proficiency in Python and practical experience with at least one enterprise stack such as Java, .NET, or TypeScript/Node.js.
- Experience delivering on at least one major cloud platform, with depth in AWS, Microsoft Azure, or Google Cloud preferred over broad superficial coverage.
- Working knowledge of enterprise data integration, SQL, search/retrieval, and structured and unstructured information.
- Understanding of model and application evaluation, prompt and context design, privacy, security, responsible AI controls, and production monitoring.
- Experience leading technical work across multidisciplinary teams, mentoring engineers, and influencing architecture or engineering standards without relying solely on formal authority.
- Clear communication, commercial judgment, and ability to translate ambiguous business needs into feasible technical approaches and delivery plans.
- Consulting, professional services, client-facing technology delivery, regulated-industry, risk, compliance, governance, Langraph, PydanticAI, Azure Foundry, AWS Bedrock, Kubernetes, or infrastructure-as-code experience is useful but not essential.
- A degree in computer science, engineering, or a related discipline, or equivalent professional experience.
Benefits
- Hybrid work with remote flexibility and an expectation that colleagues work in their local office or onsite with clients at least three days per week.
- Office-based teams identify at least one weekly anchor day for in-person collaboration.
- Employment requires appropriate approval to work in Australia.
- Successful applicants must complete a Criminal & Bankruptcy check before commencing employment.
Tech Stack
Categories
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.