01.10.2026 aktualisiert


verifiziert
Premiumkunde
100 % verfügbarAI Architect | Enterprise Architect | Salesforce CTA | Agentic AI, LLM, EU AI Act | PhD
Madrid, Spanien
Nur Remote
PhD Computer Science (University of York), MBA (University of Cambridge), BSc Computer ScienceÜber mich
Companies bring me in when an AI initiative has to work inside a real enterprise landscape: existing platforms, integration, security, GDPR. I design the architecture, build the first version and set up evaluation and governance. 25 years in enterprise technology, ex-CTO, PhD. Remote from Madrid.
Skills
APIsKünstliche IntelligenzAmazon Web ServicesMicrosoft AzureCloud ComputingData ArchitectureDue DiligenceIdentitätsmanagementUnternehmensstrukturPythonMachine LearningPost-merger IntegrationsNatural Language ProcessingSoftware ArchitectureSalesforce.Com
AI architecture and agentic AI: LLM solution design, AI agents, multi-agent systems, retrieval-augmented generation (RAG), Model Context Protocol (MCP), tool use, guardrails, prompt engineering, structured outputs, LLM evaluation, LLM-as-judge, evaluation harnesses, LLMOps, conversational AI, chatbots, intelligent document processing. Models and platforms: Claude, OpenAI, Azure OpenAI, AWS Bedrock, open-weight models. Python.
AI strategy and governance: AI opportunity assessment, use-case identification and prioritisation, AI roadmaps, AI governance models, responsible AI, AI usage policies, EU AI Act readiness and risk classification, AI security, executive workshops and training.
Enterprise and solution architecture: enterprise architecture, target architecture, architecture roadmaps, integration architecture, data architecture, architecture governance and review, capability mapping, legacy modernisation, cloud transformation, application portfolio assessment. TOGAF 9 certified.
Salesforce: Salesforce Certified Technical Architect (CTA), 34 certifications. Sales Cloud, Service Cloud, Experience Cloud, Education Cloud, Marketing Cloud, B2B Commerce, B2C Commerce, Field Service, CPQ, Agentforce, Data Cloud, Apex, Lightning Web Components, Flow, Salesforce DevOps and CI/CD, managed packages and ISV architecture, org strategy, multi-cloud integration, sharing and security model.
Cloud, security and compliance: AWS (5x certified), Azure, cloud architecture, cloud data platforms, identity and access management, single sign-on, Microsoft Entra ID, security architecture review, GDPR and data privacy (CIPP/E certified).
Transactions and advisory: technology due diligence, IT due diligence, post-merger integration (PMI), IT strategy, ERP strategy, digital transformation, vendor and tender assessment, programme assurance, presales and solutioning, stakeholder management at board and C-level.
Industries: public sector and government (GovTech, local and central government, higher education), life sciences and pharmaceutical, medical devices, financial services and insurance, manufacturing, retail and eCommerce, telecommunications, transport and rail, private equity.
Background: 25+ years in enterprise technology. Co-founder and CTO of a Salesforce-native GovTech software company grown to 100+ staff, Director at Accenture, Partner at Implement Consulting Group. PhD in computer science (University of York) with peer-reviewed research on LLM reliability, evaluation and AI safety. Author of five Salesforce books. Typical roles: AI architect, enterprise architect, solution architect, technical architect, AI strategy consultant, interim CTO, architecture assurance. Languages: English, Danish, Swedish, Norwegian, German (B2), Spanish. Remote from Madrid, occasional travel across Europe.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2025
Sprachen
DanishMutterspracheGermangutEnglishMutterspracheFrenchGrundkenntnisseItaliangutNorwegianverhandlungssicherSwedishverhandlungssicherSpanishgut
Projekthistorie
Ran the company-wide workshop programme identifying where LLMs and AI agents fit the product platform and the organisation, consolidated the results into an AI opportunity catalogue with a prioritisation model and presented it to senior management. The catalogue is the basis for the company AI framework and phased adoption roadmap.
Technologies and skills: AI strategy, AI governance, use-case prioritisation, AI roadmap, workshop facilitation, executive presentation, product strategy, GovTech.
Introduced AI-assisted development to the product engineering teams of a Salesforce ISV: Claude-based development workflows, Model Context Protocol (MCP) tooling, prompt engineering for coding tasks and coaching on where coding agents help, where they fail and how to review their output. Designed and built an LLM classifier for inbound support cases with an evaluation harness scoring predictions against human-labelled history, and agent-based GIS tooling that exposes geospatial operations to LLM agents through MCP for multi-step spatial tasks.
Technologies and skills: coding agents, Claude Code, MCP, prompt engineering, LLM evaluation, structured outputs, Python, Salesforce Service Cloud, Salesforce DX, GIS, agentic AI.
Designed and built a generative AI conversational tool that elicits wellbeing narratives from primary school pupils in a form teachers and researchers can work with. Evaluated in a design-research study published as an SSRN working paper. The collaboration is being formalised as a joint research programme.
Technologies and skills: generative AI, conversational AI, LLM application design, responsible AI, design research, EdTech.