Required skills
- Solution Architecture
- Data Architecture
- AI Architecture
- ML Architecture
- IT Architecture
- Complex IT Platforms
- Data Platforms
- Integration
- Governance
- Risk Assessment
- Architecture Design
- Architecture Development
Languages: German
Job description
Seeking a Senior Solution Architect with expertise in AI, ML, and Data Architectures for a project focused on building GenAI competencies within a consulting environment. The role involves developing strategies, target states, and solution options for complex IT and data platforms.
Project overview
Application/Offer Deadline October 13, 2026, 2:00 PM
Contract Type: Service project. Clarify employment type/freelancer admissibility and supply chain before submission.
Bundle Request: 7/7
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Project Framework Conditions
Project details
Frankfurt am Main; possibly other locations in Germany
October 19, 2026 – July 31, 2027; approx. 9.40 months
Scope: 30 PT of which 28 remote, 2 onsite = 93.33% remote
Utilization: Average approx. 0.73 days/week
Language: German native speaker C2
Onshore: Germany
Project Framework Conditions
October 19, 2026 – December 31, 2027; approx. 14.42 months
Utilization: Average approx. 0.48 days/week
Conditions – Mandatory Information for Candidates:
For further processing of your application, this information is mandatory: Please state your desired billing method and your hourly or daily rate, separated for remote and onsite. Also indicate whether travel expenses are included or charged separately. If charged separately, please state the amount or the basis for calculation.
1.1 Project/Process Context
Organization-wide development of GenAI competencies in the consulting environment: secure, compliant AI use, qualification, and practical use-case development. Interdisciplinary groups evaluate potentials and business cases, create implementation roadmaps, and permanently anchor AI competencies.
1.2 Project Structure
Central program management controls planning, goals, and communication. Sub-projects: Qualification/competence building and use-case identification/development. Cross-functional working groups with subject matter leadership; external specialists as needed. Sequential phases according to competence level with milestones; regular communication at management, steering, and operational levels.
3.1. Scope
Independent and self-organized: Analyze end-to-end integration and as-is/to-be architecture; develop strategies, target states, architecture models, and solution options. Document and communicate standard patterns/frameworks. Evaluate technical/business risks and recommend countermeasures. Check implementation against quality standards; support architecture development through reviews. Validate fit/gap analyses, prioritized measures, roadmaps, and principles. Conduct architecture/compliance reviews and technical due diligence under operational standards.
4.1 Must-Have Requirements - 100% mandatory to fulfill
4.2 Should-Have Requirements
- Conditions / Billing Method (Hourly or Daily Rate)
- Hourly Rate Remote (EUR/hour) and Hourly Rate Onsite (EUR/hour)
- Or Daily Rate Remote (EUR/day) and Daily Rate Onsite (EUR/day)
- Travel Expenses
- M1: Experience in the conception and management of solution architectures for complex IT or data platforms — Senior (> 5 years of experience)
- M2: Experience in the development of AI, ML, or Data Architectures including architectural decisions and technical target states — Senior (> 5 years of experience)
- M3: For the following tender with project description, The program for qualification and transformation with generative AI has the following content: As part of an organization-wide qualification and transformation project, the use of generative AI is to be systematically [Incomplete: Text ends in original at "systematically"; professional content needs clarification.] — References: 2
- M4: Experience in integrating solution architectures into existing IT and data landscapes, considering technical dependencies — References: 3
- M5: Experience in implementing governance requirements within solution architectures — References: 3
- S1: Demonstrable architectural responsibility in an AI program within a regulated infrastructure or network industry — References: 1 | 30%
- S2: Experience in considering governance requirements in architectural decisions for AI or GenAI use cases — References: 1 | 20%
- S3: Experience in evaluating the technical feasibility of AI or GenAI use cases from an architectural perspective — References: 1 | 20%
- S4: Experience in architecturally evaluating regulatory, technical, or operational risks of AI solutions — References: 1 | 15%
- S5: Experience with architecture documentation for AI solutions to meet proof and compliance requirements — References: 1 | 15%
- Start: 2026-10
- Duration: 10 Monate
- Remote: hybrid
- Location: Frankfurt am Main, Deutschland, DE
- Languages: German
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