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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI applications and automation workflows, integrating systems, and translating business needs into technical solutions. Proficient in prototyping, solution design, and implementing best practices for AI architecture and governance.
Highest-signal resume keywords
AI Application DevelopmentSolution Design and ArchitectureAPI IntegrationPrototyping and IterationStakeholder Communication
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 EngineeringAI PlatformsAutomation WorkflowsAgent DevelopmentWorkflow OrchestrationCI/CDPrompt EngineeringContext EngineeringEvaluation of LLM ApplicationsEnterprise System Integration
Soft Skills
Stakeholder CommunicationConsulting SkillsIndependent Work
Tools & Technologies
AzureAWSGCPWorkflow PlatformsAutomation Platforms
Industry Keywords
AI SecurityGovernanceGuardrailsBusiness Process AnalysisOperational Efficiency
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud Platform
About the role
Key responsibilities & impact- Run discovery sessions with business and technical teams
- Map existing processes, systems, pain points and manual activities
- Identify and prioritise opportunities for AI and automation
- Challenge existing processes and design improved future-state workflows
- Translate business problems into technical requirements and solution designs
- Build prototypes and proofs of concept to validate ideas quickly
- Develop AI applications, agents and automation workflows
- Integrate AI solutions with existing systems, APIs and data sources
- Integrate disparate systems to automate workflows and remove manual effort
- Design human-in-the-loop controls, guardrails and monitoring
- Test solutions and measure effectiveness against defined business outcomes
- Take successful prototypes through to production
- Support teams with adoption and new ways of working
- Help establish reusable AI architecture, engineering patterns and best practices
- Contribute to the organisation's longer-term internal AI and automation roadmap
- Improve operational efficiency by reducing manual processing, automating repetitive tasks, improving turnaround times, reducing errors, improving knowledge access and enabling better-informed decisions
Requirements
What you’ll need- Strong software engineering experience; use of languages is flexible
- Hands-on experience building applications using a variety of AI platforms
- Experience building AI agents, tool-calling workflows or deterministic automation
- Experience integrating applications with APIs, databases and external systems
- Ability to understand and analyse business processes
- Strong solution design and architecture skills
- Experience translating ambiguous business problems into practical technical solutions
- Ability to prototype rapidly and iterate based on user feedback
- Strong stakeholder communication and consulting skills
- Comfortable working independently in a greenfield environment
- Valuable experience with agent and workflow orchestration frameworks
- Valuable experience with RAG, embeddings, vector search and enterprise knowledge retrieval
- Valuable experience with evaluation and monitoring of LLM applications
- Valuable experience with prompt and context engineering
- Valuable experience with Azure, AWS or GCP
- Valuable experience with workflow and automation platforms
- Valuable experience with enterprise system integrations
- Valuable experience with AI security, permissions, governance and guardrails
- Valuable experience with CI/CD and production deployment of AI applications
Benefits
Comp & perks- Hybrid working arrangement: WFH/London 1 day per week
- Opportunity to work on a greenfield AI and automation environment
- Opportunity to establish reusable AI architecture, engineering patterns and best practices
- Opportunity to contribute to the organisation's longer-term internal AI and automation roadmap