• Provide systems engineering support for Coast Guard digital transformation and automation initiatives • Analyze operational requirements and develop technical recommendations supporting enterprise modernization objectives • Support systems integration, requirements management, architecture development, and solution engineering activities • Develop systems engineering artifacts including CONOPS, requirements documentation, interface definitions, workflows, and technical assessments • Support automation pilot evaluations, feasibility assessments, and implementation planning • Coordinate with cloud, cybersecurity, data, and application development teams to support scalable enterprise solutions • Participate in governance boards, technical reviews, stakeholder meetings, and program status briefings • Support enterprise architecture alignment and integration activities across multiple Coast Guard mission systems and platforms • Assist in identifying opportunities for process automation, workflow optimization, and operational efficiencies • Support development of technical roadmaps, migration plans, and implementation strategies • Monitor project risks, dependencies, technical issues, and integration impacts across initiatives • Contribute to continuous improvement efforts, technical standards development, and operational readiness planning

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.

Role Description Você será responsável por analisar e implementar melhorias nos processos e parametrizações do sistema, desenvolver soluções customizadas em parceria com analistas e usuários, garantir a compatibilidade das customizações com as atualizações do ERP, além de documentar e gerenciar os fontes com boas práticas de versionamento. Também atuará no suporte aos usuários, levantamento de requisitos, mapeamento de processos e apoio em implantações de novos módulos. - Analisar, controlar e executar tarefas de manutenção e customização dos sistemas TOTVS Protheus. - Compreender as necessidades dos usuários, propondo melhorias nos processos e parametrizações sistêmicas. - Desenvolver soluções para demandas estratégicas não contempladas no produto padrão, em parceria com analistas de sistemas e usuários finais. - Assegurar o suporte aos usuários do Protheus nas soluções customizadas e sistemas integrados, por meio de atendimento a chamados. - Garantir que os programas sejam desenvolvidos com as melhores práticas de programação recomendadas pela TOTVS. - Assegurar o funcionamento dos programas customizados nas atualizações periódicas do ERP, aplicando correções quando necessário. - Realizar a gestão dos fontes de programas customizados, com controle de versionamento, auditoria de acessos e mudanças. - Documentar os fontes de programas conforme padrão pré-estabelecido pela área de sistemas. - Apoiar as áreas corporativas na identificação de falhas ou necessidades, mapeando processos e sugerindo melhorias. - Atuar como multiplicador de conhecimento, promovendo qualidade e eficiência nos processos da área. - Realizar atendimento a colaboradores internos e externos, esclarecendo dúvidas e propondo soluções baseadas no Protheus. - Apoiar implantações de novos módulos, parametrizações, aplicação de patches e documentação. - Levantar requisitos, analisar regras de negócio e elaborar especificações funcionais e técnicas. Qualifications - Escolaridade: Ciência da Computação, Sistemas de Informação, Análise e Desenvolvimento de Sistemas ou similares. - Inglês Intermediário. Requirements - Conhecimento em ADVPL e TL++ para customizações e desenvolvimento. - Experiência com integrações via Webservices (SOAP/REST) e APIs no Protheus. - Experiência com os principais módulos do Protheus: Ex: Faturamento, Compras, Fiscal, Estoque Custos, Contabilidade, Financeiro e Gestão Pessoal. - Conhecimento da arquitetura do Protheus. - Experiência com SQLServer (consultas e otimizações). - Capacidade de análise de processos e levantamento de requisitos. Company Description

• Build the intelligence and automation layer on top of marketing and AI visibility data • Transform structured data into decision frameworks, automated insights, and applied AI workflows • Define how search and AI visibility data should be collected, transformed, and operationalized • Partner closely with data engineering and BI teams • Ensure underlying datasets, instrumentation, and reporting outputs support SEO and AI visibility analysis • Shape ingestion and normalization strategies for datasets across APIs, warehouses, and platforms • Ensure data quality, consistency, and governance across reporting systems • Translate business questions into structured technical requirements • Define analytical frameworks and scoring logic for evaluating brand visibility • Develop monitoring and alerting systems for meaningful shifts in search visibility • Build and maintain automation and prioritization models for actionable recommendations • Partner with various teams to embed search intelligence systems into planning and execution workflows • Document system logic and operational processes for long-term scalability