About V2 AI

V2 AI is a leading AI-Native consultancy backed by $30m in VC funding, allowing us to meet our customers' needs. We harness the power of AI to accelerate business outcomes for some of the world's largest brands. We bring decades of experience and a unique delivery model to partner with our customers on the most complex problems for immense, measurable impact.

Our Services

• AI Strategy & Governance
• AI Enablement
• Applied AI
• Data & AI Security

About the Role

As a Principal Forward Deployed Engineer of Applied AI, you are responsible for translating customer objectives into deployed, production-ready AI and software solutions that deliver measurable business outcomes.

We are looking for a Principal Java Engineer with deep enterprise engineering expertise who can embed directly within customer environments, working closely with Product Owners, business stakeholders, engineering teams, and technical leaders to design, build, and operationalise modern AI-enabled software platforms.

This is a hands-on technical leadership role where you'll combine deep software engineering expertise with AI engineering, delivery ownership, architecture, product thinking, and industry awareness. You will operate across the full lifecycle of an engagement—from shaping and technically qualifying opportunities through to hands-on delivery and successful adoption in production.

You'll thrive in environments where problems are not fully defined, balancing speed, technical excellence, and commercial awareness to ensure solutions create lasting enterprise value. This role is ideal for engineers who want end-to-end ownership from problem definition through to deployed intelligence operating inside customer organisations.

Key Responsibilities

Customer Outcomes & Engagement

• Own delivery of AI and software outcomes within customer engagements.
• Partner closely with customer Product Owners and stakeholders to translate business goals into technical solutions.
• Embed within customer teams to accelerate delivery, adoption, and value realisation.
• Ensure solutions deliver measurable operational and business impact.
• Act as a trusted technical advisor guiding customers through AI adoption.
• Build trusted relationships with senior technical stakeholders and engineering leadership.

Pre-Sales & Solution Shaping

• Technically qualify opportunities during discovery and pre-sales engagements.
• Shape solution approaches aligned to customer objectives and constraints.
• Define architecture direction, delivery approach, and implementation scope.
• Contribute to proposals, technical solution narratives, and Statements of Work.

Engineering & Platform Delivery

• Design and build enterprise-grade Java microservices and cloud-native applications.
• Lead solution architecture across AWS and GCP environments.
• Deliver production-grade solutions integrating enterprise data, platforms, and AI models.
• Apply modern software engineering, DevOps, platform engineering, and AI-native SDLC practices, including Claude Code.
• Establish scalable deployment patterns supporting long-term enterprise adoption.
• Drive engineering excellence across software development, testing, quality assurance, and platform delivery.

Solution & Product Thinking

• Apply product and industry thinking to ensure solutions solve meaningful business problems.
• Navigate ambiguity to define clear delivery paths.
• Balance rapid experimentation with production robustness.
• Continuously iterate solutions based on usage and feedback

Delivery Leadership

• Lead technical execution within cross-functional delivery teams.
• Roll up your sleeves and get the job done when required to move customers from where they are today to the next level.
• Support planning, estimation, and prioritisation alongside customer product leadership.
• Identify risks early and drive pragmatic resolution.
• Mentor engineers and contribute to V2 AI's AI engineering capability uplift.
• Provide technical leadership across engineering and QA teams while establishing enterprise engineering standards.

Role Requirements

• Proven experience delivering enterprise software solutions within regulated environments (Financial Services, Banking, Insurance, or similar).
• Extensive experience with Java engineering and microservice architecture.
• Strong experience building enterprise applications using Java, Spring Boot, and RESTful APIs.
• Experience working with PostgreSQL (Amazon Aurora preferred).
• Strong front-end experience with React.js (Angular experience preferred).
• Strong AWS and GCP cloud expertise.
• Experience applying AI-native software development practices, including Claude Code or similar AI-assisted development tooling.
• Strong software engineering background, particularly in distributed or cloud-native systems.
• Experience deploying solutions from concept through to production.
• Demonstrated experience in technical pre-sales or solution qualification.
• Strong solution design and architectural capability.
• Experience working closely with Product Owners or business-led delivery models.
• Comfortable operating in ambiguous and evolving problem spaces.
• Experience with modern cloud, DevOps, and platform engineering practices.
• Ability to confidently lead engineering teams and QA functions while uplifting engineering maturity.
• Strong stakeholder communication skills across technical and business audiences, with the ability to engage senior client technical stakeholders.
• Ownership mindset focused on delivery outcomes and customer success.

What You Will Get:

• Competitive salary package
• Pick your equipment
• Gifted Day Off ("VersionUp Day")
• Generous parental leave
• Well-funded startup environment
• Annual training budget
• Mentorship program
• Clear promotion pathways
• Flexible working arrangements
• Meet-ups & socials
• 97% rating on corporate social responsibility
  

Apply Now:
If you’re passionate about leading AI-powered full stack projects, building scalable applications, and shaping the future of AI consulting, APPLY NOW and join V2 AI!