Hypatos

Solutions Engineer

• Define the project blueprint, including phases, scope, budget and timeline.
• Collaborate with Solution Consultants to validate feasibility.
• Assume technical responsibility during delivery.
• Understand customer needs and propose solutions.
• Drive adoption of new technologies.

Solution Architect

Artificial Intelligence

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AI Tech Delivery Specialist – CoE

Consultant

• Responsible for the solution discovery → value creation → technical win cycle for enterprise accounts and strategic partners (Big 4 & GSIs).
• Lead deep-dive workshops with CFOs, GBS and IT stakeholders.
• Develop ROI models, business cases and executive briefs that support six- to seven-figure proposals.
• Translate requirements into AI agent architectures, data flows and integration maps.

Solution Consultant

• Own the solution discovery → value engineering → technical win cycle for enterprise prospects and strategic partners
• Lead deep-dive workshops with CFO, GBS, and IT stakeholders
• Build ROI models, business cases, and executive briefs that underpin 6‑ to 7‑figure deals
• Translate requirements into Hypatos AI Agent architectures, data flows, and integration maps
• Deliver tailored demos and PoCs — hands‑on configuration in Studio/prompt chains
• Own all functional/technical responses, security questionnaires, and architecture diagrams
• Act as solution lead on joint pursuits with EY, PwC, KPMG, Deloitte and global SIs
• Present at webinars, industry panels, and partner events on AI Agents, IDP, and back‑office transformation

Solution Consultant – US

Account Executive

• Monitoring a selected portfolio of strategic accounts in the EMEA/DACH region
• Engaging with clients across multiple business functions, including C-level executives
• Achieving individual revenue targets by securing significant deals within these accounts
• Working closely with partners, particularly the Big Four firms

Strategic Account Executive / Strategic Client Advisor

• Conduct comprehensive quality reviews of AI solution deliveries
• Establish and maintain quality gates throughout delivery phases
• Ensure all deliverables pass quality criteria and meet business requirements
• Drive continuous improvement in quality processes and standards
• Master prompt engineering techniques and optimization strategies
• Optimize AI model performance and accuracy for customer use cases
• Drive application performance improvements and optimization initiatives
• Measure and report on business value delivery and ROI achievement
• Act as quality liaison during customer acceptance processes
• Support customer success through performance monitoring and improvements

AI Context Expert

QA Engineer

• Own, maintain, and scale an end-to-end (E2E) framework
• Design strategies for non-deterministic LLM outputs
• Evaluate agents' behavior reports
• Integrate tests into CI/CD pipelines
• Collaborate with AI researchers and product managers