Principal Forward Deployed Engineer - Applied AI at V2 Digital | New South Wales | Rezi

Principal Forward Deployed Engineer - Applied AI at V2 Digital

Principal Forward Deployed Engineer - Applied AI

V2 Digital · New South Wales

Yesterday

Principal Forward Deployed Engineer - Applied AI

V2 Digital · New South Wales

a day ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Principal Forward Deployed Engineer of Applied AI, you will translate customer objectives into deployed, production-ready AI solutions that deliver measurable business outcomes. You will embed directly within customer environments, working closely with Product Owners, business stakeholders, and engineering teams to design, build, and operationalize AI capabilities that solve real-world problems. Principal FDEs combine deep software engineering expertise with AI engineering, delivery ownership, product thinking, and industry awareness, operating across the full lifecycle of an engagement from shaping and technically qualifying opportunities through to hands-on delivery and successful adoption in production. This role is ideal for engineers who want end-to-end ownership from problem definition through to deployed intelligence operating inside customer organizations.

Responsibilities

  • 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 realization.
  • Ensure solutions deliver measurable operational and business impact.
  • Act as a trusted technical advisor guiding customers through AI adoption.
  • 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.
  • Design and build distributed, cloud-native AI and software systems.
  • Deliver production-grade solutions integrating enterprise data, platforms, and AI models.
  • Apply modern software engineering, DevOps, and platform engineering practices.
  • Establish scalable deployment patterns supporting long-term enterprise adoption.
  • 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.
  • Lead technical execution within cross-functional delivery teams in customer teams.
  • Roll up your sleeves and get the job done on your own when constrained to move the customer from where they are today to the next level.
  • Support planning, estimation, and prioritization alongside customer product leadership.
  • Identify risks early and drive pragmatic resolution.
  • Mentor engineers and contribute to V2 AI’s AI engineering capability uplift.

Requirements

  • Proven experience delivering AI & Software solutions within enterprise environments.
  • Deep expertise working with foundation models and modern AI system architectures, including retrieval-augmented generation (RAG), agent-to-agent workflows, model context protocols, and enterprise AI integration patterns.
  • 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 and platform engineering practices.
  • Strong stakeholder communication skills across technical and business audiences.
  • Ownership mindset focused on delivery outcomes and customer success.

Skills

  • AI Strategy & Governance
  • AI Enablement
  • Applied AI
  • Data & AI Security
  • foundation models
  • retrieval-augmented generation (RAG)
  • agent-to-agent workflows
  • model context protocols
  • enterprise AI integration patterns
  • distributed systems
  • cloud-native systems
  • DevOps
  • platform engineering

Work Type

  • Flexible working arrangements

Experience Level

  • Principal

Salary/Compensations

  • Competitive salary package

Benefits

  • Pick your equipment
  • Gifted Day Off ("VersionUp Day")
  • Generous parental leave
  • Well-funded startup environment
  • Annual training budget
  • Mentorship program
  • Clear promotion pathways
  • Meet-ups & socials

About the Company

  • 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.

Equal Opportunity

  • 97% rating on corporate social responsibility