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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in delivering AI and software solutions within enterprise environments, with a strong focus on solution design, architecture, and stakeholder communication. Capable of navigating ambiguity and driving customer success through effective technical execution and collaboration.
Highest-signal resume keywords
AI And Software Solutions DeliveryFoundation Models ExpertiseCloud-Native Systems EngineeringTechnical Pre-Sales ExperienceSolution Design And Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Integration PatternsDistributed Systems DesignDevOps PracticesProduction DeploymentSolution QualificationAgile MethodologiesArchitectural DirectionEnterprise Data IntegrationModel Context ProtocolsRetrieval-Augmented Generation
Soft Skills
Stakeholder CommunicationOwnership MindsetMentoringProblem-SolvingAdaptability
Tools & Technologies
Cloud PlatformsAI ModelsEnterprise Software SystemsCollaboration ToolsData Platforms
Industry Keywords
Enterprise EnvironmentsCustomer EngagementsBusiness Goals TranslationTechnical AdvisorCross-Functional Teams
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Own delivery of AI and software outcomes within customer engagements.
- Partner 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.
- Execute hands-on work to move customers from their current state 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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