Oliver Wyman - Senior Lead AI Engineer - Melbourne
Marsh & McLennan Companies3 months ago
Melbourne, AustraliaStaff+
Responsibilities
- Lead AI solution delivery from problem framing and feasibility assessment through architecture, implementation, production release, and continuous improvement.
- Design enterprise architectures integrating AI capabilities with applications, APIs, data platforms, identity, security, and operational controls.
- Develop or review critical software components and guide engineering teams on quality, cost, speed, and maintainability trade-offs.
- Build production AI systems using agentic applications, retrieval-augmented generation, MCP, function and tool calling, structured outputs, and multi-agent workflows.
- Engineer production AI platforms covering inference architecture, model routing, caching, semantic retrieval, vector databases, evaluation pipelines, observability, and cost optimization.
- Define evaluation criteria, test sets, observability, and feedback loops for accuracy, reliability, safety, latency, cost, and business impact.
- Implement responsible AI guardrails, human oversight, access controls, privacy, security, risk, legal, and auditability practices.
- Partner with product owners, business leaders, architects, data specialists, and delivery teams to create achievable roadmaps.
- Mentor engineers, develop reusable patterns and reference implementations, and improve AI engineering practices.
- Communicate technical options, risks, and recommendations to technical and non-technical stakeholders, including senior clients and business leaders.
Requirements
- Typically 10–12 years of professional experience in software engineering, solution architecture, platform engineering, or related enterprise technology roles.
- Strong record of delivering production enterprise applications, integrations, or digital platforms in complex, regulated, or security-conscious environments.
- 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 application stack such as Java, .NET, or TypeScript/Node.js.
- Experience delivering on at least one major cloud platform, with depth in one environment preferred over superficial coverage of AWS, Microsoft Azure, and Google Cloud.
- 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.
- Preferred experience includes consulting or professional services, client-facing technology delivery, regulated industries, enterprise risk, compliance, governance, AI application frameworks, model platforms, Kubernetes, and infrastructure as code.
- A degree in computer science, engineering, or a related discipline, or equivalent professional experience.
- Candidates must have appropriate approval to work in Australia and must complete a Criminal & Bankruptcy check before employment.
Benefits
- Hybrid work with remote flexibility and collaboration, connection, and professional development benefits from working in the office.
- Colleagues are expected to work from their local office or onsite with clients at least three days per week.
- Office-based teams will designate at least one weekly anchor day for the full team to work together in person.
- Inclusive and flexible work environment with a commitment to diversity.
Tech Stack
Categories
About Marsh & McLennan Companies
Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.