Data/ AI Solutions Architect
About The Position
As a Data/AI Solution Architect, you will be at the cutting edge of innovation, shaping the development and deployment of next-generation Generative AI (GenAI) tools. Your role will center on designing, architecting, and prototyping AI-driven solutions that are scalable, secure, and deployable across diverse platforms. You’ll bring deep technical expertise in Python, system architecture, and microservices, and use your skills to construct robust AI solutions grounded in real-world mission needs. Your proficiency in SQL and LLMs (Large Language Models) will support both the data science and engineering aspects of the role. You’ll work within a high-performing, mission-driven team to develop GenAI agents capable of synthesizing and verifying information from large, complex data sources. Ensuring traceability, building searchable metadata catalogs, and implementing processes to reduce AI hallucinations are key elements of your mission. Experience with AWS cloud architecture is essential, as most systems will be cloud-based. While not required, Java proficiency and familiarity with agent-based AI systems and financial data are strong bonuses. Clearance Requirement: TS / SCI with Polygraph
Requirements
- Strong proficiency in Python
- Expertise in system design and architecture
- Experience with microservice development
- Strong knowledge of SQL and database integration
- Hands-on experience with GenAI and LLM models
- Solid foundation in data science concepts and implementation
- Familiarity with AWS cloud services and architecture
Nice To Haves
- Experience with Java
- Background in agentic AI systems
- Familiarity with financial datasets (institutions, transactions, analytics)
- Certifications or formal training in AI/ML model development and deployment
Responsibilities
- Design, architect, and prototype GenAI solutions for multi-platform deployment
- Develop and manage scalable microservice-based architectures
- Build and validate AI agents capable of synthesizing and tracing information to its source
- Create and maintain searchable metadata catalogs for structured data access
- Implement safeguards to verify AI-generated content and prevent hallucinations
- Collaborate across engineering, data science, and DevOps teams to meet mission objectives
- Support rapid prototyping and deployment in AWS cloud environments
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
