Lead Forward Deployed Engineer

Vanguard Australia; Melbourne; Ibrido; AUD 200.000 - 320.000; Tempo pieno

Descrizione del lavoro

Vanguard Australia seeks a Lead Forward Deployed Engineer to embed with global teams and turn complex ideas into production-ready AI-enabled solutions. You will guide architectural decisions, mentor engineers, and drive delivery across regions, balancing value, risk, and operational readiness.

The role requires strong Python/data engineering skills, cloud AI platform experience, and the ability to modernize legacy EUCT solutions while maintaining governance and SDLC standards.

Competenze

• Bachelor's degree in CS/DS/Engineering or equivalent.
• 7+ years in software/data engineering or analytics engineering.
• 2+ years building GenAI/LLM powered solutions preferred.
• 5+ years with cloud-based AI & Data platforms.

Mansioni

• Embed with researchers, portfolio managers and traders to surface opportunities.
• Architect, build and validate AI-enabled applications and workflows.
• Lead complex solutions from MVP to limited production.
• Replace high-risk Excel/Access/Tableau solutions with governed alternatives.
• Mentor engineers and set technical direction across regions.

Conoscenze

GenAI/LLM

Cloud data platforms

Leadership

Python

Data engineering

Formazione

Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field

Strumenti

Excel

VBA

SQL

Tableau

Descrizione del lavoro

50 years ago, John C. Bogle had a vision to start an investment company that did things differently. A company with no external shareholders. Where all the profits were invested back into the business and used to lower costs. Evidently, it was as bold as it was brilliant. To this day, Vanguard Group still has no external shareholders. That means no share prices to protect, and no profits to generate for outside owners.

Today, Vanguard is one of the world’s largest investment management companies, serving more than 50 million investors worldwide. For more than 30 years Vanguard Australia has been supporting individual investors, financial advisers, and superannuation members to achieve their long-term financial goals.

The Global Investment & Finance Systems (GIFS) Lead Forward Deployed Engineer (FDE) is a senior individual contributor who embeds directly with partners in Vanguard’s Investment Management Group (IMG) and Finance division to turn complex ideas and emerging opportunities into governed, production-quality solutions. Lead FDEs work alongside portfolio managers, traders, analysts, and finance professionals to understand their workflows, shape and prioritize high-value opportunities, and personally architect, build, and validate solutions. They exercise senior technical and business judgment across business value, technical feasibility, risk, and operational readiness, guiding successful capabilities from experimentation through the appropriate software development lifecycle process.

This role will align with Vanguard’s international business, supporting quantitative research across asset classes, portfolio management, and trading capabilities across regions. The Lead FDE will remain deeply engaged in hands‑on delivery while setting technical direction, mentoring other engineers, advising international business and GIFS leaders, and translating direct delivery experience into reusable patterns and capabilities for the broader organization.

Core Responsibilities

• Embed directly with researchers, portfolio managers, and traders across Vanguard’s international business to understand complex workflows, surface high-value opportunities from each region, and own their prioritization through a shared global backlog in close consultation with GIFS and Investment Management leaders, aligning FDE capacity to measurable investment and operational outcomes.
• Serve as a senior technical partner to international business and GIFS leaders, applying domain and engineering judgment to determine when AI, machine learning, optimization, deterministic development, or human judgment is the appropriate response to a business problem.
• Personally architect, build, and validate AI-enabled applications, automations, and redesigned workflows, leading complex solutions from early experimentation through MVP and limited production.
• Shape and lead the systematic replacement of high-risk and critical-risk Excel, Access, Tableau, and other EUCT solutions across investment and supporting functions, migrating valuable logic and data into governed, supportable environments via an SDLC process.
• Establish scalable engineering patterns for AI-enabled solutions, including agent workflows, human‑in‑the‑loop controls, reusable components, and evaluation methods addressing quality, safety, latency, cost, and operational readiness.
• Exercise senior technical judgment over solution maturity, partnering with Product, Engineering, Architecture, Platform, Security, and Risk teams to recommend whether capabilities should be refined, elevated, transitioned, reused, or retired.
• Modernize workflows and decision‑support processes across multiple investment domains and functions by reducing manual effort, strengthening data quality and governance, and enabling improved insights, faster decisions, and more efficient execution.
• Lead through hands‑on delivery by setting technical direction, developing critical solution components, mentoring other engineers, and resolving complex technical or delivery barriers across related engagements.
• Translate successful international engagements into reusable code, templates, evaluation methods, reference patterns, and implementation guidance that strengthen future FDE delivery across regions and the broader GIFS organization.
• Partner with international business and GIFS leadership to communicate delivery status and realized value, identify broader deployment opportunities, and shape the continued evolution of Vanguard’s engineering practices and responsible AI adoption.

WHAT YOU BRING TO THE ROLE (COMPETENCIES):

• Deep software and data engineering expertise, with a record of personally building reliable, maintainable, well‑documented production solutions using modern testing, CI/CD, logging, versioning, and source‑control practices.
• Hands‑on expertise architecting and deploying AI‑enabled and agentic solutions, including prompt engineering, RAG, tool‑use patterns, human‑in‑the‑loop controls, and evaluation frameworks.
• Strong technical breadth across AI, machine learning, optimization, data engineering, and deterministic software development, with the judgment to select the appropriate approach for each problem.
• Experience with cloud‑based data and AI platforms and the ability to integrate emerging capabilities into secure, scalable enterprise environments.
• Advanced proficiency in Python and modern application and data tooling, including the ability to understand and modernize logic embedded in Excel, Access, VBA, SQL, Tableau, and other EUCT solutions.
• Strong command of AI and solution evaluation practices, including quality, safety, latency, cost, monitoring, version management, operational readiness, and appropriate human oversight.
• Demonstrated ability to personally architect and build complex solutions while setting technical direction, mentoring engineers, and improving quality through direct design and code review.
• Strong enterprise delivery judgment, balancing rapid experimentation with architecture, security, privacy, risk, auditability, data governance, and SDLC expectations.
• Ability to develop deep domain fluency, challenge ambiguous problem framing, and translate investment and business workflows into actionable technical opportunities.
• Demonstrated ability to influence senior business and technology leaders, clearly communicate technical tradeoffs, and guide decisions on investment, adoption, elevation, reuse, and retirement.
• Experience creating reusable engineering patterns, evaluation methods, and implementation guidance that extend beyond a single engagement or team.
• Ability to lead through hands‑on delivery across distributed teams and global time zones (US, UK, India, Australia), maintaining clear accountability for technical quality and business outcomes and consistent, transparent communication with stakeholders in every region.

QUALIFICATIONS:

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field, or equivalent combination of training and experience.
• Minimum of 7+ years of related work experience in software engineering, data engineering, data science, or analytics engineering.
• Demonstrated experience leading technical workstreams and delivering production‑quality solutions across multiple teams or business areas.
• 2+ years building and deploying GenAI/LLM‑powered solutions in client or production environments preferred.
• 5+ years with cloud‑based AI & Data platforms/products.
• Deep financial services domain knowledge highly preferred

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing."

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard’s core purpose.

Vanguard Australia is proud to hold the Employer of Choice for Gender Equality (EOCGE) citation, awarded by WGEA, recognising our strong commitment to gender equality and our dedication to inclusive policies, gender balanced outcomes and a safe, respectful workplace.

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

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.