Oliver Wyman - Senior Lead AI Engineer - Sydney
Marsh & McLennan Companies2 hours 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 integrating AI capabilities with applications, APIs, data platforms, identity, security, and operational controls.
- Develop or review critical components and guide engineering decisions across quality, cost, speed, and maintainability.
- Design and implement agentic applications using retrieval-augmented generation, MCP, function/tool calling, structured outputs, and multi-agent workflows.
- Build production AI platforms covering 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 relevant partners.
- Collaborate with product owners, business leaders, architects, data specialists, and delivery teams to create feasible roadmaps.
- Mentor engineers, contribute reusable patterns and reference implementations, and raise AI engineering capability.
- Communicate technical options, risks, and recommendations to technical and non-technical stakeholders, including senior clients or 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 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 application stack such as Java, .NET, or TypeScript/Node.js.
- Experience delivering solutions on at least one major cloud platform, with depth in AWS, Microsoft Azure, or Google Cloud preferred over superficial multi-cloud 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.
- Clear communication, commercial judgment, and ability to translate ambiguous business needs into feasible technical approaches and delivery plans.
- A degree in computer science, engineering, or a related discipline, or equivalent professional experience.
- Consulting, professional services, client-facing technology delivery, regulated-industry, enterprise risk, compliance, or governance experience is useful but not essential.
- Familiarity with AI application frameworks such as Langraph or PydanticAI, model platforms such as Azure Foundry or AWS Bedrock, and containerized workloads or Kubernetes and infrastructure as code is useful but not essential.
Benefits
- Hybrid work with flexibility to work remotely and collaborate in the office, with at least three days per week in a local office or onsite with clients.
- Inclusive and flexible work environment with stated commitment to diversity and equal opportunity.
- Employment is in Sydney and applicants must have appropriate approval to work in Australia.
- Successful applicants must complete a Criminal & Bankruptcy check before employment begins.
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