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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 while driving customer success through effective technical execution and mentoring.
Highest-signal resume keywords
AI And Software Solutions DeliveryFoundation Models ExpertiseCloud-Native Systems DesignTechnical Pre-Sales ExperienceStakeholder Communication Skills
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 System ArchitecturesDistributed Systems EngineeringSolution DesignImplementation Scope DefinitionDevOps PracticesEnterprise AI IntegrationProduction-Grade Solutions DeliveryAgile MethodologiesRisk Identification And ResolutionContinuous Iteration
Soft Skills
Ownership MindsetMentoringStakeholder EngagementProblem-SolvingAdaptability
Tools & Technologies
Cloud PlatformsAI ModelsEnterprise Data IntegrationDeployment PatternsTechnical Solution Narratives
Industry Keywords
AI AdoptionBusiness Goals TranslationCustomer EngagementCross-Functional TeamsProduct Ownership
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 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
- 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