Lead Database AI Platform Engineer

Reposted Yesterday
Be an Early Applicant
Hiring Remotely in México
Remote
Senior level
Software
The Role
Lead platform engineering for FICO Assistant's AI/ML infrastructure: design and operate model serving, training pipelines, vector search, cloud databases, IaC, CI/CD, monitoring, and 24x7 operational support.
Summary Generated by Built In

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, LlamaIndex).
  • Database security: IAM auth, TLS, encryption, fine-grained access controls.
  • 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.

Our Offer to You

  • 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.

#LI-FS1

#LI-REMOTE

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

Skills Required

  • 8+ years infrastructure/platform engineering experience
  • 3+ years focused on AI/ML infrastructure
  • Hands-on ML model serving experience (SageMaker, Bedrock, vLLM, or TGI)
  • Vector search / embedding index management (OpenSearch k-NN, dimension tuning, index optimization for RAG)
  • Kubernetes (EKS) for ML workloads, including GPU node pools, autoscaling, and service mesh
  • Experience with LLM application patterns and agent frameworks (conversation memory, guardrails, LangChain, LlamaIndex)
  • Experience owning and tuning cloud DBs: Amazon OpenSearch, Amazon DocumentDB, Aurora PostgreSQL, Amazon ElastiCache Redis
  • Database security expertise: IAM authentication, TLS, encryption, fine-grained access controls
  • Build Infrastructure as Code for AI/ML and database resources (Terraform, Crossplane, CloudFormation)
  • Implement CI/CD pipelines for ML systems with automated testing and model validation gates
  • Monitoring and alerting experience using CloudWatch and Grafana across database and AI/ML services
  • Work hours 11 AM - 8 PM Mexico Time Zone (weekdays) and rotating alternate weekend on-call

FICO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about FICO and has not been reviewed or approved by FICO.

  • Leave & Time Off Breadth Time off offerings include paid holidays, paid sick days, and PTO, with typical vacation time described in the mid‑teens to ~20 days per year. Paid maternity and paternity leave are also included, which strengthens overall leave coverage.
  • Equity Value & Accessibility Equity-related rewards include an Employee Stock Purchase Plan with a discounted purchase feature, and broader participation in performance-based equity grants is described. These ownership programs can materially increase total rewards beyond base pay.
  • Parental & Family Support Parental leave is described as available up to 12 weeks, alongside a Family Building Benefits Program that supports fertility, adoption, surrogacy, and related services. This adds targeted support for employees navigating parenthood and family planning.

FICO Insights

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The Company
HQ: San Jose, CA
3,751 Employees
Year Founded: 1956

What We Do

Headquartered in Silicon Valley USA, FICO® (NYSE:FICO) is a leading analytics software company, helping businesses in over 80 countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company’s groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries.

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