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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 & Software Solutions DeliveryFoundation Models ExpertiseCloud-Native Systems EngineeringTechnical 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 DesignSolution DesignImplementation Scope DefinitionDevOps PracticesEnterprise AI IntegrationProduction DeploymentAgile MethodologiesRisk Identification and ResolutionTechnical Solution Narratives
Soft Skills
Ownership MindsetMentoringNavigating AmbiguityCross-Functional Team LeadershipStakeholder Engagement
Tools & Technologies
Cloud PlatformsAI ModelsEnterprise Data IntegrationDeployment PatternsProduct Management Tools
Industry Keywords
AI AdoptionBusiness Goals TranslationCustomer EngagementValue RealisationTechnical Advisor
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
- 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