Lead AI Architect

Jobtailor; Deutschland; Remote; EUR 140.000 - 190.000; Vollzeit

Zusammenfassung

FinThrive is seeking a seasoned AI Architect to define and evolve the architectural vision across AI platforms and products. You will drive the integration of intelligent automation, RAG, and ML, building scalable, secure reference architectures and governance frameworks.

You will guide platform investments and lead cross-functional reviews with product, security, and executive teams. You will mentor senior engineers and deliver hands-on leadership through prototypes, POCs, and architectural

Qualifikationen

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, or related field.
• 15+ years of experience in software engineering, platform engineering, machine learning, data engineering, solution architecture, enterprise architecture, or related technical leadership roles.
• 8+ years of experience designing enterprise AI, machine learning, analytics, or intelligent automation solutions.
• Deep understanding of generative AI, agentic AI, retrieval-augmented generation (RAG), NLP, ML, information retrieval, intelligent automation platforms, prompt engineering, fine-tuning, PEFT, and retrieval-based approaches.
• Experience evaluating and selecting model customization strategies, including prompting, RAG, fine-tuning, continued pre-training, and domain-specific model adaptation.
• Experience designing enterprise-scale architectures across cloud, application, integration, data, security, and AI domains.
• Experience architecting AI solutions using Azure AI, Azure OpenAI, Azure AI Search, Databricks, AWS Bedrock, SageMaker, or equivalent technologies.
• Strong understanding of modern AI frameworks, orchestration platforms, open-weight models, evaluation frameworks, observability tooling, and AI governance practices.
• Experience establishing architecture standards, technology roadmaps, governance processes, and enterprise engineering practices.
• Demonstrated experience designing architectures spanning multiple applications, platforms, business domains, and technology stacks.
• Proven ability to influence technical direction across multiple teams, products, and organizational boundaries.
• Excellent communication, presentation, and stakeholder-management skills.
• Strong understanding of SDLC practices, DevSecOps, MLOps, platform engineering, security principles, and cloud-native architectures.
• Preferred: Master's degree in related field
• Preferred experience as an Enterprise Architect, AI Architect, Principal Architect, Solution Architect, or similar strategic role
• Preferred experience in regulated industries such as Healthcare, Financial Services, Insurance, or Consumer Credit
• Preferred experience with healthcare standards, claims data, clinical data, FHIR, HL7, medical coding systems, and knowledge graphs
• Preferred experience defining responsible AI frameworks, governance programs, model risk management, and enterprise AI policies
• Preferred experience evaluating and deploying open-weight foundation models in cloud-hosted and self-hosted environments
• Preferred experience with SFT, LoRA/PEFT, reinforcement learning methods, and synthetic data generation
• Preferred experience developing enterprise technology roadmaps and leading platform modernization initiatives
• Preferred experience leading enterprise-scale multi-agent platforms, intelligent automation programs, or large-scale AI transformation initiatives
• Preferred contributions to open-source projects, patents, publications, conference presentations, industry forums, or thought leadership activities

Aufgaben

• Define and maintain the architectural vision, principles, standards, and reference architectures for FinThrive's AI platform and AI-enabled products
• Lead the long-term evolution of agentic AI, RAG, knowledge systems, intelligent automation, ML, and emerging AI technologies
• Define integration of AI capabilities with FinThrive products and platforms
• Establish enterprise integration patterns, AI architecture standards, governance frameworks, and operational processes
• Guide strategic technology decisions involving AI platforms, cloud providers, model hosting, vector databases, orchestration frameworks, AI infrastructure, and platform investments
• Collaborate with product, engineering, architecture, security, compliance, and executive leadership teams
• Lead architecture reviews for major AI initiatives, including system design, scalability, resiliency, interoperability, security, compliance, and cost optimization
• Develop multi-year technology roadmaps for AI enablement across FinThrive's product portfolio and business operations
• Create reusable architecture patterns and technical guidance for scalable, secure AI solutions
• Research emerging technologies and industry trends for healthcare revenue cycle management and AI strategies
• Mentor Lead AI Engineers, Senior II AI Engineers, and other technical leaders
• Provide hands-on technical leadership through prototypes, POCs, design reviews, and problem resolution

Jobbeschreibung

• Define and maintain the architectural vision, principles, standards, and reference architectures for FinThrive's AI platform and AI-enabled products
• Lead the long-term evolution of agentic AI, RAG, knowledge systems, intelligent automation, machine learning, and emerging AI technologies
• Define integration of AI capabilities, intelligent agents, automation services, knowledge systems, and machine learning solutions with FinThrive products and platforms
• Establish enterprise integration patterns, AI architecture standards, governance frameworks, and operational processes
• Guide strategic technology decisions involving AI platforms, cloud providers, model hosting, vector databases, orchestration frameworks, AI infrastructure, build-versus-buy evaluations, and platform investments
• Collaborate with product, engineering, architecture, security, compliance, and executive leadership teams
• Lead architecture reviews for major AI initiatives, covering system design, scalability, resiliency, interoperability, security, compliance, and cost optimization
• Develop multi-year technology roadmaps for AI enablement across FinThrive's product portfolio and business operations
• Create reusable architecture patterns and technical guidance for consistent, scalable, secure, and maintainable AI solutions
• Research emerging technologies and industry trends for healthcare revenue cycle management and AI strategies
• Mentor Lead AI Engineers, Senior II AI Engineers, and other technical leaders
• Provide hands‑on technical leadership through prototypes, proof‑of‑concepts, design reviews, and critical problem resolution

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, or a related technical discipline
• 15+ years of experience in software engineering, platform engineering, machine learning, data engineering, solution architecture, enterprise architecture, or related technical leadership roles
• 8+ years of experience designing enterprise AI, machine learning, analytics, or intelligent automation solutions
• Deep understanding of generative AI, agentic AI, retrieval‑augmented generation (RAG), natural language processing, machine learning, information retrieval, intelligent automation platforms, prompt engineering, fine‑tuning, parameter‑efficient fine‑tuning (PEFT), and retrieval‑based approaches
• Experience evaluating and selecting model customization strategies, including prompting, RAG, fine‑tuning, continued pre‑training, and domain‑specific model adaptation
• Experience designing enterprise‑scale architectures across cloud, application, integration, data, security, and AI domains
• Experience architecting AI solutions using Azure AI, Azure OpenAI, Azure AI Search, Databricks, AWS Bedrock, SageMaker, or equivalent technologies
• Strong understanding of modern AI frameworks, orchestration platforms, open‑weight models, evaluation frameworks, observability tooling, and AI governance practices
• Experience establishing architecture standards, technology roadmaps, governance processes, and enterprise engineering practices
• Demonstrated experience designing architectures spanning multiple applications, platforms, business domains, and technology stacks
• Proven ability to influence technical direction across multiple teams, products, and organizational boundaries
• Excellent communication, presentation, and stakeholder‑management skills
• Strong understanding of software development lifecycle practices, DevSecOps, MLOps, platform engineering, security principles, and cloud‑native architectures
• Preferred: Master's degree in a related technical discipline
• Preferred experience as an Enterprise Architect, AI Architect, Principal Architect, Solution Architect, or similar strategic architecture role
• Preferred experience in regulated industries such as Healthcare, Financial Services, Insurance, or Consumer Credit
• Preferred experience with healthcare standards, claims data, clinical data, FHIR, HL7, medical coding systems, and knowledge graphs
• Preferred experience defining responsible AI frameworks, AI governance programs, model risk management practices, and enterprise AI policies
• Preferred experience evaluating and deploying open‑weight foundation models in cloud‑hosted and self‑hosted environments
• Preferred experience with SFT, LoRA/PEFT, reinforcement learning methods, and synthetic data generation
• Preferred experience developing enterprise technology roadmaps and leading platform modernization initiatives
• Preferred experience leading enterprise‑scale multi‑agent platforms, intelligent automation programs, or large‑scale AI transformation initiatives
• Preferred contributions to open‑source projects, patents, publications, conference presentations, industry forums, or other thought leadership activities

Core Competencies

Demonstrates expertise in defining and maintaining architectural standards for AI platforms, integrating intelligent automation and machine learning solutions, and leading strategic technology decisions. Proven ability to mentor technical leaders and guide enterprise architecture initiatives across regulated industries.

Highest-signal resume keywords

• AI Architecture Standards
• Machine Learning Solutions
• Generative AI Expertise
• Azure AI Technologies
• Enterprise Architecture Leadership

ATS Optimization Keywords

Hard Skills

• Software Engineering
• Platform Engineering
• Data Engineering
• Solution Architecture
• Machine Learning
• Natural Language Processing
• Intelligent Automation
• Architecture Design
• AI Governance Practices
• DevSecOps

Soft Skills

• Excellent Communication
• Stakeholder Management
• Presentation Skills

Industry Keywords

• Healthcare Revenue Cycle Management
• Regulated Industries
• FHIR
• HL7
• Medical Coding Systems
• AI Governance Programs

Tools & Technologies

• Azure AI
• AWS Bedrock
• Databricks
• SageMaker
• Open-Weight Models
• Observability Tooling
• Orchestration Platforms