AI Consultant -AI Integration consultant

DLL

DLL
€120 p/uNoord-Brabant38-40 uur p/wStart 05-11-2026Tot 15-01-2027

Opdrachtomschrijving


We are looking for a Senior AI Integration Consultant to establish a practical blueprint for integrating Databricks-hosted AI services, primarily using OpenAI models, into legacy credit underwriting workflows.

The consultant must combine solution architecture expertise with hands-on experience in AI service integration and be able to deliver an actionable target architecture, integration patterns, roadmap, and pilot recommendation within three months.

Core requirements

  • Proven experience designing integration blueprints for embedding AI services into existing enterprise workflows and legacy applications.
  • Strong solution architecture skills, including API-based integration, event-driven patterns, orchestration, authentication, data flows, and system dependencies.
  • Hands-on experience with Databricks, including its use as a platform for deploying and operationalizing AI or data services.
  • Practical experience integrating LLM-based services, such as Azure OpenAI models, into production business processes.
  • Experience translating standalone AI solutions into reusable enterprise services, with clear interfaces, service boundaries, and integration patterns.
  • Ability to assess current-state architecture and define a pragmatic target-state blueprint, including transition steps, dependencies, constraints, and implementation priorities.
  • Experience working with complex workflow or case-management applications, preferably within credit underwriting, financial services, banking, or vendor finance.
  • Strong understanding of enterprise non-functional requirements, including security, privacy, access management, auditability, monitoring, resilience, and scalability.
  • Ability to work across AI development, business, architecture, security, data, and application teams, converting business journeys into implementable technical designs.
  • Delivery-oriented consulting approach, with the ability to produce actionable outputs within three months, including architecture diagrams, integration patterns, implementation roadmap, and recommendations for a first integration pilot.
  • Experience defining and documenting reusable integration patterns and service interfaces that can be leveraged across multiple business processes and applications.
  • Ability to identify and assess technical dependencies, legacy system constraints, and integration challenges impacting AI adoption.
  • Experience developing transition roadmaps from current-state to target-state architecture, including implementation priorities and sequencing.
  • Proven ability to recommend and design an initial AI integration pilot that delivers measurable business value and supports broader enterprise adoption.

De eisen

  1. 1Proven experience designing integration blueprints for embedding AI services into existing enterprise workflows and legacy applications.
  2. 2Strong solution architecture skills, including API-based integration, event-driven patterns, orchestration, authentication, data flows, and system dependencies.
  3. 3Hands-on experience with Databricks, including its use as a platform for deploying and operationalizing AI or data services.
  4. 4Practical experience integrating LLM-based services, such as Azure OpenAI models, into production business processes.
  5. 5Experience translating standalone AI solutions into reusable enterprise services, with clear interfaces, service boundaries, and integration patterns.
  6. 6Ability to assess current-state architecture and define a pragmatic target-state blueprint, including transition steps, dependencies, constraints, and implementation priorities.
  7. 7Experience working with complex workflow or case-management applications, preferably within credit underwriting, financial services, banking, or vendor finance.
  8. 8Strong understanding of enterprise non-functional requirements, including security, privacy, access management, auditability, monitoring, resilience, and scalability.
  9. 9Ability to work across AI development, business, architecture, security, data, and application teams, converting business journeys into implementable technical designs.
  10. 10Delivery-oriented consulting approach, with the ability to produce actionable outputs within three months, including architecture diagrams, integration patterns, implementation roadmap, and recommendations for a first integration pilot.
  11. 11Experience defining and documenting reusable integration patterns and service interfaces that can be leveraged across multiple business processes and applications.
  12. 12Ability to identify and assess technical dependencies, legacy system constraints, and integration challenges impacting AI adoption.

De wensen

  1. 1Experience developing transition roadmaps from current-state to target-state architecture, including implementation priorities and sequencing.
  2. 2Proven ability to recommend and design an initial AI integration pilot that delivers measurable business value and supports broader enterprise adoption.

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