Lead AI Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and uphold the architectural vision, principles, standards, and reference architectures for FinThrive's AI platform and AI-driven products.

• Spearhead the long-term advancement of agentic AI, RAG, knowledge systems, intelligent automation, machine learning, and cutting-edge AI technologies.

• Outline the 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 related to 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.

• Conduct architecture reviews for significant AI initiatives, addressing 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 provide technical guidance for consistent, scalable, secure, and maintainable AI solutions.

• Investigate emerging technologies and industry trends related to healthcare revenue cycle management and AI strategies.

• Mentor Lead AI Engineers, Senior II AI Engineers, and other technical leaders.

• Offer 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 field.

• Over 15 years of experience in software engineering, platform engineering, machine learning, data engineering, solution architecture, enterprise architecture, or related technical leadership roles.

• More than 8 years of experience in designing enterprise AI, machine learning, analytics, or intelligent automation solutions.

• Profound 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 in evaluating and selecting model customization strategies, including prompting, RAG, fine-tuning, continued pretraining, and domain-specific model adaptation.

• Experience in designing enterprise-scale architectures across cloud, application, integration, data, security, and AI domains.

• Expertise in architecting AI solutions using Azure AI, Azure OpenAI, Azure AI Search, Databricks, AWS Bedrock, SageMaker, or equivalent technologies.

• Strong grasp of modern AI frameworks, orchestration platforms, open-weight models, evaluation frameworks, observability tooling, and AI governance practices.

• Experience in establishing architecture standards, technology roadmaps, governance processes, and enterprise engineering practices.

• Proven track record of designing architectures that span multiple applications, platforms, business domains, and technology stacks.

• Demonstrated ability to influence technical direction across various teams, products, and organizational boundaries.

• Excellent communication, presentation, and stakeholder management skills.

• In-depth 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 position.

• 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 in defining responsible AI frameworks, AI governance programs, model risk management practices, and enterprise AI policies.

• Preferred experience in evaluating and deploying open-weight foundation models in both cloud-hosted and self-hosted environments.

• Preferred experience with SFT, LoRA/PEFT, reinforcement learning methods, and synthetic data generation.

• Preferred experience in developing enterprise technology roadmaps and leading platform modernization initiatives.

• Preferred experience in 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.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance plans.

• Flexible work hours and remote work opportunities.

• Generous paid time off and holiday leave.

• Professional development and continuous learning opportunities.

• Collaborative and inclusive company culture.