About The Role
As an AI Solutions Architect at FinThrive, you will spearhead the development and optimization of artificial intelligence across our organization. This role involves collaborating with product managers and engineers to develop and integrate generative AI solutions into our applications and platform. You will oversee our AI Trust and Quality Framework and leverage AI to enhance our internal processes.
Key Responsibilities
- Design, Develop, and Implement AI Solutions: You will design, develop, and implement RAG pipelines using Databricks AI and Azure AI tools. Integrate LlamaIndex and LangChain to enhance data retrieval and processing capabilities.
- Collaboration: Work closely with data scientists and engineers to optimize AI models and workflows. Collaborate with cross-functional teams, including data engineers, data scientists, business analysts, and product analysts, to gather requirements and translate business needs into technical specifications.
- Ensure Scalability and Performance: Ensure the scalability, reliability, and performance of AI solutions. Continuously monitor and apply the latest AI advancements to enhance existing systems.
- Continuous Improvement: Collaborate on the continuous improvement of the platform, including tech stack upgrades, cost optimization, and compliance requirements.
- Communication and Roadmaps: Choose and communicate common approaches by selecting appropriate frameworks and crafting roadmaps.
Qualifications
- Educational Background: Bachelor’s degree in computer science, AI, Data Engineering, or Applied Science.
- Technical Expertise: Deep expertise in enterprise systems architecture, solution design, new product, and technology assessments. Proven experience with Databricks AI and Azure AI tools, ML models, and NLP.
- Programming Skills: Solid programming skills in Python and experience with machine learning frameworks.
- Problem Solving: Strong problem-solving skills and the ability to work collaboratively.
- Experience: Demonstrable experience architecting both Brownfield and Greenfield environments, on-premises, and cloud. Adept with agile software development lifecycle, DevOps principles, git, and Kubernetes.
Preferred Skills
- Open-Source Models: Proficiency with open-source models, LlamaIndex, LangChain, and Hugging Face.
- Infrastructure as Code: Expertise in infrastructure as code and automating production data and ML pipelines.
- Healthcare Data: Exposure to healthcare data is a plus.
FinThrive’s Core Values
- Demonstrate integrity and ethics in day-to-day tasks and decision-making.
- Adhere to FinThrive’s core values of being Customer-Centric, Agile, Reliable, and Engaged.
- Support FinThrive’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA, and other laws applicable to FinThrive’s business practices.
Physical Demands
The physical demands and work environment characteristics described here are representative of those that a colleague must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Equal Employment Opportunity
FinThrive values diversity and belonging and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We're committed to providing reasonable accommodation for qualified applicants with disabilities in our job application and recruitment process.
Benefits Extracted with AI
- Remote work
- Equal Employment Opportunity
- Diversity and Inclusion
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