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Solution Architect / Implementation Lead(m/w/x)
Leading discovery workshops to define AI testing and evaluation roadmaps for GenAI and Computer Vision in AI assurance. Experience as Architect or senior engineer with strong software engineering foundation required. Shaping emerging AI testing and evaluation standards.
Anforderungen
- 5+ years of experience as a Solution/Software/Cloud Architect or senior engineer designing customer-facing digital products or platforms, or a similar role
- Strong foundation in Software Engineering
- Ability to read code (e.g., Python)
- Understanding of API structures
- Ability to validate technical feasibility
- Familiarity with common AI use cases (chatbots, RAG applications, agents, perception, surveillance, autonomous systems)
- Strong requirements gathering skills
- Strong stakeholder communication skills
- Strong solution scoping skills
- Ontology modeling expertise for Resaro's ASQI framework
- Demonstrated success in leading cross-functional teams
- Understanding of AI/ML lifecycle
- Knowledge of state-of-the-art approaches and limitations for testing/validating complex models
- Prior exposure/experience engaging senior stakeholders (Director to C-suite)
- Technical background in ML, AI engineering, or data science
- Hands-on experience with AI tooling
- Familiarity with AI evaluation frameworks
- Prior experience navigating government procurement processes (RFIs, RFPs, SBIRs)
- Prior experience in high-security, low-visibility agencies (defence, national security, public safety)
- Knowledge of deployment constraints in high-security/classified environments
- Prior security clearance (Government CONFIDENTIAL and above)
Aufgaben
- Interface with customer mission and internal technical teams.
- Shape custom AI testing solution design and delivery.
- Define solutions for complex, high-security settings.
- Guide engineering efforts in high-security environments.
- Ensure smooth delivery in complex, high-security settings.
- Lead discovery sessions and solution workshops with agencies.
- Map client workflows and environments (data, processes, tools).
- Identify customer pain points.
- Translate pain points into actionable solution concepts.
- Define AI TEVV roadmaps for GenAI or Computer Vision.
- Adapt TEVV strategies for various modalities.
- Prioritize features and tasks based on mission value.
- Build, run, and scale the Approved Intelligence Platform.
- Build, run, and scale the AI Solution Quality Index.
- Contribute to the ASQI engineer OSS project for AI applications.
- Collaborate with engineers, scientists, and designers on solution quality.
- Build reusable project plans and proposals for client engagement.
- Manage cross-functional teams.
- Oversee project delivery, timelines, and deliverables.
- Act as the primary stakeholder interface.
- Communicate project progress and risks effectively.
- Understand customer AI development/deployment priorities.
- Understand customer AI concerns and pain points.
- Pre-empt customer solution needs.
- Understand technical deployment constraints in high-security settings.
- Navigate procurement processes.
- Support proposal development and tender responses.
- Guide the hardening of AI systems.
- Identify AI system risks (e.g., hallucinations, prompt sensitivity).
- Identify potential solutions for defense and law enforcement.
- Provide insights on testing Gen AI systems for national security.
- Evaluate and recommend AI testing tools, platforms, and methods.
- Understand trade-offs of AI testing tools and methods.
- Translate product vision into end-to-end solution architectures.
- Translate customer problems into end-to-end solution architectures.
- Translate market opportunities into end-to-end solution architectures.
- Translate product vision into technical roadmaps.
- Translate customer problems into technical roadmaps.
- Translate market opportunities into technical roadmaps.
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Resaro's ASQI framework
- LangChain
- LlamaIndex
- YOLO
- Detectron2
- Hugging Face
- FiftyOne
- Nvidia
- LangSmith
- PromptBench
- OpenEval
- VBench
- MEVA
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Senior Expert/VP Reinforcement Learning(m/w/x)
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Solution Architect / Implementation Lead(m/w/x)
Leading discovery workshops to define AI testing and evaluation roadmaps for GenAI and Computer Vision in AI assurance. Experience as Architect or senior engineer with strong software engineering foundation required. Shaping emerging AI testing and evaluation standards.
Anforderungen
- 5+ years of experience as a Solution/Software/Cloud Architect or senior engineer designing customer-facing digital products or platforms, or a similar role
- Strong foundation in Software Engineering
- Ability to read code (e.g., Python)
- Understanding of API structures
- Ability to validate technical feasibility
- Familiarity with common AI use cases (chatbots, RAG applications, agents, perception, surveillance, autonomous systems)
- Strong requirements gathering skills
- Strong stakeholder communication skills
- Strong solution scoping skills
- Ontology modeling expertise for Resaro's ASQI framework
- Demonstrated success in leading cross-functional teams
- Understanding of AI/ML lifecycle
- Knowledge of state-of-the-art approaches and limitations for testing/validating complex models
- Prior exposure/experience engaging senior stakeholders (Director to C-suite)
- Technical background in ML, AI engineering, or data science
- Hands-on experience with AI tooling
- Familiarity with AI evaluation frameworks
- Prior experience navigating government procurement processes (RFIs, RFPs, SBIRs)
- Prior experience in high-security, low-visibility agencies (defence, national security, public safety)
- Knowledge of deployment constraints in high-security/classified environments
- Prior security clearance (Government CONFIDENTIAL and above)
Aufgaben
- Interface with customer mission and internal technical teams.
- Shape custom AI testing solution design and delivery.
- Define solutions for complex, high-security settings.
- Guide engineering efforts in high-security environments.
- Ensure smooth delivery in complex, high-security settings.
- Lead discovery sessions and solution workshops with agencies.
- Map client workflows and environments (data, processes, tools).
- Identify customer pain points.
- Translate pain points into actionable solution concepts.
- Define AI TEVV roadmaps for GenAI or Computer Vision.
- Adapt TEVV strategies for various modalities.
- Prioritize features and tasks based on mission value.
- Build, run, and scale the Approved Intelligence Platform.
- Build, run, and scale the AI Solution Quality Index.
- Contribute to the ASQI engineer OSS project for AI applications.
- Collaborate with engineers, scientists, and designers on solution quality.
- Build reusable project plans and proposals for client engagement.
- Manage cross-functional teams.
- Oversee project delivery, timelines, and deliverables.
- Act as the primary stakeholder interface.
- Communicate project progress and risks effectively.
- Understand customer AI development/deployment priorities.
- Understand customer AI concerns and pain points.
- Pre-empt customer solution needs.
- Understand technical deployment constraints in high-security settings.
- Navigate procurement processes.
- Support proposal development and tender responses.
- Guide the hardening of AI systems.
- Identify AI system risks (e.g., hallucinations, prompt sensitivity).
- Identify potential solutions for defense and law enforcement.
- Provide insights on testing Gen AI systems for national security.
- Evaluate and recommend AI testing tools, platforms, and methods.
- Understand trade-offs of AI testing tools and methods.
- Translate product vision into end-to-end solution architectures.
- Translate customer problems into end-to-end solution architectures.
- Translate market opportunities into end-to-end solution architectures.
- Translate product vision into technical roadmaps.
- Translate customer problems into technical roadmaps.
- Translate market opportunities into technical roadmaps.
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Resaro's ASQI framework
- LangChain
- LlamaIndex
- YOLO
- Detectron2
- Hugging Face
- FiftyOne
- Nvidia
- LangSmith
- PromptBench
- OpenEval
- VBench
- MEVA
Über das Unternehmen
Resaro
Branche
IT
Beschreibung
The company is a global AI Assurance company, pioneering the field of AI testing and evaluation.
Noch nicht perfekt?
- Resaro
Solution Architect - Defence and Security(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Resaro
Senior/AI Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenMünchen - Resaro
Senior Expert/VP Reinforcement Learning(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Resaro
Senior Engineer (Fullstack)(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Resaro
Senior AI Scientist, LLM(m/w/x)
Vollzeitnur vor OrtSeniorMünchen