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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading enterprise AI solutions, translating business requirements into actionable engineering tasks, and ensuring compliance with security and performance standards. Proven ability to manage multidisciplinary teams and deliver complex technology projects from feasibility to operational handover.
Highest-signal resume keywords
AI Solution DeliveryCloud PlatformsStakeholder ManagementCross-Functional LeadershipMLOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData EngineeringMachine LearningGenerative AISolution ArchitectureCI/CDTestingMonitoringAPIsIdentity and Access Management
Soft Skills
Written CommunicationVerbal CommunicationCoachingProblem SolvingTeam Coordination
Industry Keywords
Enterprise AITechnology DeliveryOperational HandoverDelivery QualityRisk Management
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead enterprise AI solutions from feasibility assessment and prototype through production deployment, stabilization and operational handover
- Translate business requirements into solution architecture, delivery plans, engineering tasks and measurable acceptance criteria
- Guide delivery and integration of AI assistants, knowledge search, retrieval-augmented generation, intelligent agents and workflow automation
- Embed secure development, testing, deployment, monitoring, evaluation, documentation and rollback practices throughout delivery
- Ensure solutions meet security, privacy, responsible AI, performance, reliability, scalability and supportability requirements
- Coordinate multidisciplinary teams and external partners
- Manage technical risks and dependencies
- Review delivery quality
- Coach colleagues on effective AI engineering practices
Requirements
What you’ll need- 10+ years of experience in IT, including software, data or platform engineering, or technology delivery
- 2+ years of hands-on experience delivering AI, machine learning or generative AI solutions in an enterprise environment
- Proven experience leading complex technology delivery from feasibility through production and operational handover
- Strong knowledge of cloud platforms, enterprise data, APIs, business systems, identity and access management, CI/CD, MLOps, testing and monitoring
- Ability to provide practical technical direction, review engineering quality, resolve delivery issues and balance value, risk, cost, speed and quality
- Strong stakeholder management and cross-functional leadership
- Written and verbal English communication skills in global or matrix environments
- Experience with AI solution evaluation, reusable engineering standards, coaching, or complex business domains is preferred
Benefits
Comp & perks- Flexible working hours
- Possibility of remote/mobile working
- Competitive starting salary
- Annual performance related salary increase
- Paid parental leave, including for non-birthing parents
- Training and development programmes
- Diverse career opportunities in national and international teams
- Opportunity to develop transferable skills
- Collaboration with experienced colleagues
- Values-led culture emphasizing honesty, integrity, respect, diversity and inclusion