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 Enablement
Applied AI
Data & AI Security
Key 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 up-to-date software engineering, DevOps, and platform engineering practices
Solution & Product Thinking
Apply product and industry thinking to ensure solutions solve meaningful business problems
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
Clear promotion pathways
Flexible working arrangements
Meet-ups & socials
97% rating on corporate social responsibility