FICO
Technology
LeadDatabaseAIPlatformEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Database AI Platform Engineer at FICO. Skills: Large-scale data platforms, AI/ML platforms. Develop and maintain AI/ML platforms. Develop and maintain large-scale data platforms”
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
8+ years of experience in database engineering, Experience with AI/ML platforms, Experience with large-scale data platforms, Experience with cloud platforms, Experience with security best practices
Nice to Have
Experience with data governance, Experience with data cataloging, Experience with data lineage, Experience with data quality, Experience with data security, Experience with data privacy, Experience with data modeling, Experience with data warehousing, Experience with data lakes, Experience with data virtualization, Experience with data integration, Experience with data governance tools, Experience with data cataloging tools, Experience with data lineage tools, Experience with data quality tools, Experience with data security tools, Experience with data privacy tools, Experience with data modeling tools, Experience with data warehousing tools, Experience with data lakes tools, Experience with data virtualization tools, Experience with data integration tools
What You'll Do.
Develop and maintain AI/ML platforms
Develop and maintain large-scale data platforms
Develop and maintain database platforms
Implement security best practices
Ensure data governance
Ensure data cataloging
Build data warehouses
Integrate data sources
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams
Full Job Description
**FICO (NYSE: FICO)** is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential! **The Opportunity** Join FICO’s platform engineering team to architect and operate the AI/ML infrastructure powering FICO Assistant — our client-facing AI product serving financial institutions across APAC, EMEA, and North America. You’ll own production AI/ML systems end-to-end: model serving, training pipelines, vector search, cloud databases, and 24x7 operational support. **What You’ll Contribute** * Design and operate production AI/ML infrastructure — model serving (SageMaker, Bedrock, self-hosted LLMs on EKS), training pipelines, and inference optimization. * Own the FICO Assistant database layer — provisioning, scaling, performance tuning, and DR across: * Amazon OpenSearch — embeddings and vector search (k-NN indexes for RAG). * Amazon DocumentDB — conversation/session storage (MongoDB-compatible schema design, compound/TTL indexing, change streams). * Aurora PostgreSQL — Langfuse observability backend. * Amazon ElastiCache Redis — Langfuse caching layer (shard management, eviction policies, Multi-AZ failover). * Build Infrastructure as Code (Terraform, Crossplane, CloudFormation) for all AI/ML and database resources. * Implement CI/CD pipelines for ML systems with automated testing and model validation gates. * Implement monitoring and alerting using CloudWatch and Grafana across all database and AI/ML services. **What We’re Seeking** * 8+ years infrastructure/platform engineering; 3+ years focused on AI/ML infrastructure. * Hands-on ML model serving — SageMaker, Bedrock, vLLM, or TGI. * Vector search / embedding index management — OpenSearch k-NN, dimension tuning, index optimization for RAG. * Kubernetes (EKS) for ML workloads — GPU node pools, autoscaling, service mesh * LLM application patterns: conversation memory, guardrails, agent frameworks (LangChain, Llama
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