AI Architect - Internal Business Applications
MeridianLink · Remote · US Remote ·
COMPENSATION
$150k – $200k
Listed on the employer's job board (Ashby)
- Fully remote position
- AI & LLM Architecture
- Python + SQL required
- 8+ years experience
- Enterprise scale focus
As the AI Architect for Internal Business Applications, you will lead the architectural vision for AI and intelligent automation within MeridianLink's internal operations. You will design and implement complex AI systems that optimize business processes, enhance decision intelligence, and drive enterprise-wide transformation.
The role involves creating reference architectures for AI runtimes, security controls, and data access while partnering with stakeholders in Finance, HR, and Customer Success. You will ensure solutions are secure, compliant, and scalable, bridging the gap between technical engineering and business enablement.
What you'll do
- Define architectural vision and governance for AI-first capabilities and LLM orchestration
- Develop reference architectures for AI runtimes, security controls, and identity management
- Translate business requirements from Finance and HR into scalable AI solution strategies
- Design secure intelligent automation solutions for document processing and workflow optimization
- Establish enterprise data integration strategies and governance practices for AI readiness
- Build APIs and reusable services to enable scalable AI adoption across business teams
- Contribute to MLOps and LLMOps capabilities including model observability and lifecycle management
- Lead change management efforts to support stakeholder alignment and AI solution utilization
What you'll need
- 8+ years in software architecture, platform engineering, or AI/ML systems design
- 4+ years designing and deploying production-scale AI systems and agent orchestration
- Deep expertise in LLM serving, RAG, agentic orchestration, and AI workflow design
- Proven success designing enterprise-scale systems with focus on reliability and scalability
- Strong hands-on expertise with Python, SQL, and cloud platforms like AWS or Azure
- Experience with Docker, Kubernetes, API design, and distributed systems architecture
- Proficiency in MLOps/LLMOps tools and modern data platforms like Databricks or Snowflake
- Strong executive communication skills to influence technical and non-technical audiences
Nice to have
- Experience in fintech, financial services, or enterprise SaaS environments
- Hands-on experience with LLM fine-tuning, prompt engineering, and vector databases
- Familiarity with enterprise application ecosystems like ERP, CRM, and HCM systems
- Experience with event-driven architectures and real-time data processing platforms
- Understanding of AI governance, model monitoring, and responsible AI frameworks
- Background in computer science, engineering, or a related technical field
Stack
- Python
- SQL
- AWS
- Azure
- Google Cloud Platform
- Docker
- Kubernetes
- Databricks
- Snowflake
How you'll work
- Fully remote work arrangement