AI & Automation Engineer

VFX Financial PLC

AI Automation Engineer at VFX Financial driving AI adoption and automation projects. Collaborating with operations, finance, and technology teams to implement production-grade solutions.

Posted 7/18/2026full-timeRemote • 🇵🇹 PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI adoption, automation engineering, and production controls, with a strong focus on integrating enterprise LLM APIs and building maintainable automated workflows. Proficient in stakeholder communication and documentation to ensure effective implementation and governance of AI solutions.

Highest-signal resume keywords

Python ProgrammingEnterprise LLM API IntegrationPower Automate AutomationProduction Controls & GovernanceStakeholder Communication

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Hard Skills

Automation EngineeringAPI IntegrationWorkflow AutomationScriptingError HandlingVersioningObservabilityDocumentationRunbooksData Minimisation

Soft Skills

Requirements GatheringStakeholder CommunicationProblem Solving

Tools & Technologies

Claude APIOpenAIAzure OpenAIPower AutomateAutomation Platforms

Industry Keywords

AI GovernanceEU AI ActOperational WorkflowsSOP RedesignCompliance

Tech Stack

Tools & technologies

AzurePython

About the role

Key responsibilities & impact

AI Adoption & Use-Case Delivery
Work with business stakeholders across Operations, Finance, and Technology to identify, prioritise, and scope AI and automation use cases
Maintain and manage the AI use-case register, including intake, prioritisation, status tracking, and outcomes measurement
Drive adoption of deployed AI tools (Claude Enterprise and equivalents) — structured rollout, training, and usage measurement by function
Stay current on enterprise LLM and AI tooling developments; advise the Data & AI Lead on relevant capabilities
Automation Engineering
Design and build production-grade automations using Power Automate, Python, and API integrations, targeting operational workflows across payments, FX, treasury, onboarding, and internal operations
Build and maintain automated workflows and AI pipelines with human-in-the-loop controls, escalation paths, and audit trails
Integrate LLM workflows with internal systems and third-party APIs using the Claude API or equivalent enterprise LLM APIs; Document all automations with clear operational runbooks; ensure solutions are maintainable by others
Production Controls & Governance
Apply production engineering standards to all AI deployments: secrets management, prompt and model versioning, evaluation datasets, output quality thresholds, and observability
Implement cost monitoring and usage controls for LLM API consumption
Build and maintain rollback and kill-switch mechanisms for all production AI workflows
Apply personal data minimisation principles — no personal data in prompts unless explicitly reviewed and approved
Produce the technical input for vendor, security, privacy, and data-residency assessments for any new AI tool or integration, working with the relevant control functions
Operate within the AI governance framework; provide technical evidence and control documentation to Compliance, Risk, Security, and the DPO as required
Maintain awareness of AI regulatory developments, including the EU AI Act timetable, and flag implications to the Data & AI Lead and Compliance
SOP & Process Redesign
Work with Operations to review existing SOPs and identify where automation can reduce manual effort, error risk, or processing time
Where automation is not yet appropriate, document improved manual processes that are automation-ready
Measure and report on automation impact — hours saved, error reduction, throughput improvements

Requirements

What you’ll need

3–6 years of hands-on software or automation engineering experience
Proficiency in Python (e.g. scripting, API integration, workflow automation)
Practical experience building with enterprise LLM APIs, such as Claude API, OpenAI, Azure OpenAI, or equivalent
Experience with Power Automate or equivalent low-code/no-code automation platforms in a production context
Ability to gather requirements from non-technical stakeholders and translate into working solutions
Understanding of production controls: secrets management, versioning, observability, error handling, and rollback
Strong written English (e.g. documentation, runbooks, and stakeholder communication)

Benefits

Comp & perks

Generous Profit Share Plan (PSP)
Potential Equity opportunities via the Company Share Option Plan (CSOP)
Competitive salary
Annual all-expenses paid company incentive trip abroad
Flexible learning & development budget