Senior Forward Deployed Engineer

V2 Digital; Melbourne; In loco; AUD 150.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Equipment provided

VersionUp Day

Parental leave

Well-funded startup environment

Annual training budget

Mentorship program

Promotion pathways

Flexible working arrangements

Meet-ups

Descrizione del lavoro

V2 AI is a leading AI-native consultancy delivering AI and software outcomes for enterprise customers in Melbourne. The role spans pre-sales through delivery leadership, embedding within customer teams to accelerate value and ensure measurable business impact.

You will work with foundations models, RAG architectures, and cloud-native platforms, guiding customers from concept to production while mentoring engineers and shaping architectural direction.

Competenze

• Proven experience delivering AI & Software solutions within enterprise environments.
• Deep expertise 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.

Mansioni

• 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.
• 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 prioritisation alongside customer product leadership.
• Identify risks early and drive pragmatic resolution.
• Mentor engineers and contribute to V2 AI’s AI engineering capability uplift.

Conoscenze

AI solutions delivery

Foundation models

Cloud-native systems

DevOps practices

Solution architecture

Pre-sales experience

Stakeholder communication

Descrizione del lavoro

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

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.

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 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.

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 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 prioritisation alongside customer product leadership.
• Identify risks early and drive pragmatic resolution.
• Mentor engineers and contribute to V2 AI’s AI engineering capability uplift.

Role Requirement

• 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.

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