Lead AI Software Engineer Position Available In Greenville, South Carolina

Address:

 322 Rhett Street, Greenville, South Carolina, United States – 29601 Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer: Competitive Wages
Health/Life Benefits
Health Savings Account plus Employer Seed
401(k) Savings Plan with Company Match
Paid Parental Leave
Company Paid Holidays
Paid Time Off including Volunteer Time
Tuition Reimbursement
Business Casual Environment
Rewards & Recognition Program
Employee Assistance Program
Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks To learn more about Purpose Financial visit Purpose Financial Website. Position Summary We are looking for an innovative and self-motivated Lead AI Software Engineer II to spearhead our new AI Engineering team. This role will lead the development of our AI infrastructure and capabilities built on AWS Bedrock, expanding our existing SecureGPT platform. The ideal candidate will drive the creation of agentic workflow capabilities, integrate external AI services via Model Context Protocol, and build AI workflow and orchestration systems to bring intelligence to all our products. This position requires a visionary leader with a can-do spirit who can transform complex AI concepts into practical, scalable solutions while collaborating closely with Data Science teams to leverage data-driven insights. The role includes ownership of test automation strategy and implementation for all AI systems.
Job Responsibility Lead and manage a team of AI software engineers focused on building AI infrastructure and capabilities
Architect and implement agentic workflow capabilities to integrate external AI services via Model Context Protocol
Design and develop AI workflow and orchestration systems to enhance our product offerings
Expand and improve our existing SecureGPT platform built on AWS Bedrock, Lambda, S3, and Knowledgebases
Own and drive the test automation strategy for all AI systems, ensuring reliability, accuracy, and performance
Design and implement comprehensive test frameworks for evaluating AI model performance and behavior
Create tooling and productivity improvements leveraging AI capabilities across the company
Act as Scrum Master for AI engineering teams
Collaborate with Data Science teams to integrate ML models and data-driven insights into AI solutions Job Responsibilities Cont. Partner with product management, TPMs, Data, and Operations teams to align AI initiatives with business goals
Research emerging AI technologies and methodologies to maintain competitive advantage
Develop technical roadmaps for AI integration across company products
Establish best practices for AI development, testing, and deployment
Provide technical mentorship to team members on AI technologies and implementation strategies
Bridge the gap between AI engineering and data science to create cohesive, intelligent systems Education Required Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Master’s degree preferred.
Experience Required 8+ years of experience in software development with at least 3+ years focused on AI/ML technologies
Demonstrated experience with large language models (LLMs) and generative AI platforms
Proven experience building and deploying AI solutions on AWS, particularly with AWS Bedrock
Strong background in serverless architectures (Lambda, S3) and cloud infrastructure
Experience with AI orchestration, workflow management, and integration patterns
Knowledge of Model Context Protocol and agentic AI systems
Experience leading technical teams and driving innovation
Strong understanding of software development methodologies and DevOps practices
Proven track record as a self-starter and innovator who can drive projects from concept to completion
Experience with prompt engineering, RAG (Retrieval Augmented Generation), and vector databases
Expertise in test automation frameworks and methodologies for AI systems
Experience designing and implementing evaluation metrics for AI model performance
Familiarity with AI ethics, security, and governance frameworks
Experience working with Data Science teams and implementing ML models in production environments
Understanding of data science methodologies, statistical analysis, and machine learning algorithms Knowledge Required Excellent written and verbal communications skills; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to translate complex AI concepts into business value
Strong problem-solving skills and innovative thinkin
Adaptability and flexibility in a rapidly evolving AI landscape
Ability to understand and ensure compliance with policies, procedures, and laws governing AI implementation
Understanding of data science principles, methodologies, and tools
Knowledge of data processing pipelines and feature engineering
Familiarity with data visualization techniques and tools
Experience bridging the gap between data science research and production engineering
Deep knowledge of testing methodologies specific to AI systems, including hallucination detection and evaluation
Understanding of CI/CD pipelines and automated testing integration Physical Requirements Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
Competencies Action-OrientedCustomer CommitmentOKRPurpose-DrivenTechnical Proficiency/LeadershipVision-DrivenTravel 0-10%
Attire Business Casual
Other Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Requisition ID:

45195