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FICO

FICO is an analytics company helping businesses make better decisions that drive higher levels of growth and success.

Server Systems-Lead Engineer

Systems EngineerSystems EngineerFull TimeRemoteLeadTeam 1,001-5,000Since 1956H1B No SponsorCompany SiteLinkedIn

Location

CST (UTC-6)

Posted

5 days ago

Salary

0

Seniority

Lead

Job Description

Server Systems-Lead Engineer

FICO

Role Description 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. - 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. Qualifications - 8+ years in 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, LlamaIndex). - Database security: IAM auth, TLS, encryption, fine-grained access controls. Requirements - Hours: 11 AM – 8 PM Mexico Time Zone (weekdays). - On-Call: Rotating alternate weekends. - Support Model: 24x7 follow-the-sun for client-facing AI product. Benefits - An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. - The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. - Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. - An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

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