2 дня назад
Solution Engineer (AI)
73 789 - 127 901$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solution Engineer (AI) (LLMs/AWS/Bureau Composer): Designing and delivering AI-powered, data-driven decisioning solutions for credit, fraud, and identity use cases with an accent on solution architecture, cloud-native platforms, and production integrations. Focus on translating client requirements into scalable architectures, building real-time decisioning workflows, and integrating LLMs, APIs, and distributed data systems.
Location: United States; hybrid work arrangement with remote and in-office options.
Salary: $73,789–$127,901 per year, plus variable pay and benefits.
Company
is a global data and technology company providing data, analytics, and decisioning solutions across financial services, healthcare, automotive, insurance, and other markets.
What you will do
- Lead AI-driven discovery and requirements sessions focused on intelligent decisioning, automation, and optimization.
- Translate client needs into production-ready AI solutions using LLMs, AI workflows, APIs, microservices, and cloud-native architectures.
- Design and deliver scalable Bureau Composer implementations, including real-time decisioning workflows and custom solutions.
- Conduct technical presentations, demonstrations, and AI solution workshops for executive and technical audiences.
- Guide production deployment, integration, troubleshooting, security, compliance, and data governance activities.
- Partner with Sales and Product to identify expansion opportunities and build reusable AI solution patterns and accelerators.
Requirements
- At least 3 years of experience in Solutions Engineering, AI Solutions, or client-facing Systems Architecture.
- Practical experience applying LLMs or machine learning to production workflows, automation, decisioning, analytics, or enterprise systems.
- Experience designing API-first, microservices-based, real-time, event-driven, and distributed architectures.
- Experience with AWS, including Lambda, API Gateway, Step Functions, and S3; experience with Azure or GCP is also relevant.
- Knowledge of Python or SQL, data pipelines, ETL, data integration, and BI tools such as Tableau, Power BI, or Looker.
- Experience in credit, fraud, identity, or risk analytics, plus knowledge of security, IAM, data protection, and compliance frameworks including FCRA and FACTA.
Nice to have
- Experience with prompt engineering, RAG architectures, or LLM orchestration frameworks.
- Experience with credit attributes, tradelines, scores, underwriting, originations, line management, or model-driven decisioning.
- Experience supporting pre-sales or solution consulting engagements.
Culture & Benefits
- People-first, inclusive, and purpose-driven work environment.
- Medical, dental, and vision coverage with matching 401(k).
- Flexible work environment with remote, hybrid, or in-office options.
- Flexible time off, volunteer time off, sick leave, vacation, and 12 paid holidays.
- Variable pay opportunity and comprehensive benefits package.
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