Application Engineering Technical Lead - II

We are building chat and voice experiences that our clients will love, leveraging GenAI and deterministic dialogs.

Success in this role will involve leaning into ambiguity and cutting‑edge architectures, providing hands‑on technical leadership for the design and delivery of modern applications, including GenAI‑powered solutions.

This role will lead the development of conversational AI experiences using technologies such as:
Lang Graph and related frameworks for voice and chat, while partnering closely with engineers, product, and stakeholders to deliver secure, scalable, and high‑quality solutions.

The Tech Lead will set engineering standards, guide solution architecture in partnership with a fantastic team of architects, mentor developers, and remain actively involved in building and evolving applications that leverage emerging AI capabilities.

• Serve as a technical lead on the team, setting engineering standards and mentoring junior developers.
• Design, build, and maintain full stack applications, translating complex technical requirements into high‑quality, scalable solutions.
• Ensure smooth integration of multiple data sources, APIs, and services to improve system efficiency and user experience.
• Create and maintain detailed documentation to help cross‑functional teams understand system architecture, logic flows, and design decisions.
• Deploy code to development, test, and production environments on schedule; provide follow‑up support and complete change control documentation.
• Ensure proper observability and monitoring practices are implemented; contribute to maintaining the production support playbook.
• Apply a thorough understanding of software development methodologies, architectural standards, and best practices.
• Train and mentor experienced developers; assist with resolving escalated technical issues.
• Communicate effectively across technical and non‑technical audiences, tailoring the level of detail to the audience’s needs.
• Advocate and implement best practices for application security, data protection, performance, and resilience across the full stack.
• Participate in special projects and perform other duties as needed.
• Apply modern AI capabilities—including LLMs, prompt engineering, agentic systems, and AWS AI services (e.g., Sage Maker, Bedrock, Arize)—to enhance automation, intelligence, and system performance.
• Demonstrate a passion for problem‑solving and the ability to navigate ambiguity while driving clarity and direction.
• Leverage a broad understanding of business functions, user needs, and enterprise technologies to guide solution design.

• Minimum 5 years of experience in full stack development.
• Strong experience designing and developing applications across both client side and server side components, using technologies such as Type Script, JavaScript, Node.js, Python, APIs, and related services.
• Experience with Lang Graph and related frameworks for voice and chat.
• Hands‑on experience with cloud services (ideally AWS) and distributed application architecture.
• Experience with modern AI/ML technologies including LLMs, prompt engineering, agentic patterns, and AWS AI services.
• Proficiency in debugging, performance tuning, and end‑to‑end solution troubleshooting.
• Strong understanding of application security, observability, and best practice.

Vanguard is not offering visa sponsorship for this position.

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long‑term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in‑person learning, collaboration, and connection. We believe our mission‑driven and highly collaborative culture is a critical enabler to support long‑term client outcomes and enrich the employee experience.