Senior AI Delivery Engineer - Flexible, Enterprise Impact

V2 Digital; Melbourne; On-site; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Equipment provided

VersionUp Day

Parental leave

Well-funded startup environment

Annual training budget

Mentorship program

Promotion pathways

Flexible working arrangements

Meet-ups

Job summary

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.

Qualifications

• 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.

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 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.

Skills

AI solutions delivery

Foundation models

Cloud-native systems

DevOps practices

Solution architecture

Pre-sales experience

Stakeholder communication

Job description

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.