Solutions Architect
AI summary of the role
Oscilar is hiring a Solutions Architect to lead customer integrations of its AI-native risk decisioning platform.
What you’ll do
- Collaborate with GTM, Product, and Engineering to define and deliver technical solutions aligned with business goals.
- Serve as the primary technical point of contact for customers — from onboarding to production deployment.
- Design, test, and implement integrations leveraging tools like Elasticsearch, Snowflake, AWS S3, AWS Lambda, and PostgreSQL.
- Build and maintain API and data workflows using REST, webhooks, and custom scripts in Python.
What you’ll bring
- 4+ years in technical consulting, solutions engineering, or customer-facing architecture roles.
- Deep experience with AWS (Lambda, CloudWatch, Cognito) and data infrastructure tools.
- Strong proficiency in Python and PostgreSQL.
- Expertise integrating REST APIs and third-party data providers.
Technologies
Elasticsearch · Snowflake · AWS S3 · AWS Lambda · AWS CloudWatch · AWS Cognito · PostgreSQL · Python · REST APIs · Redis · Redshift · Clickhouse
About Oscilar
AI-native risk decisioning platform for fraud detection, credit underwriting, AML, and compliance across onboarding, monitoring, and decisioning workflows for banks and fintechs.
Bootstrapped
Source and classification
Implementation & delivery · Evidence for this classification:
decisioning systems powered by Oscilar’s platform. You’ll serve as the bridge between our product and our customers — guiding integrations, solving technical challenges, and shaping product feedback loops to accelerate adoption. If you enjoy working cross-functionally with engineering, sales, and product teams, and thrive in a fast-moving environment where your work directly impacts customer success and product evolution, this is the opportunity for you. What You’ll Do: Collaborate with GTM, Product, and Engineering to define and deliver technical solutions aligned with business goals. Serve as the primary technical point of contact for customers — from onboarding to production deployment. Design, test, and implement integrations leveraging tools like Elasticsearch, Snowflake, AWS S3, AWS Lambda, and PostgreSQL. Build and maintain API and data workflows using REST, webhooks, and
More from the job description
At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place. Why Join Us? Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk. Role Overview: We’re seeking an experienced Solutions Architect to help our customers design and implement intelligent, scalable risk decisioning systems powered by Oscilar’s platform. You’ll serve as the bridge between our product and our customers — guiding integrations, solving technical challenges, and shaping product feedback loops to accelerate adoption. If you enjoy working cross-functionally with engineering, sales, and product teams, and thrive in a fast-moving environment where your work directly impacts customer success and product evolution, this is the opportunity for you. What You’ll Do: Collaborate with GTM, Pr [... source excerpt omitted ...] hooks, and custom scripts in Python. Act as a trusted advisor, providing prescriptive guidance across risk domains such as Fraud, AML/KYC/KYB, and Credit Underwriting. Translate customer feedback into actionable insights for the Product and Engineering teams. What You’ll Bring: 4+ years in technical consulting, solutions engineering, or customer-facing architecture roles. Deep experience with AWS (Lambda, CloudWatch, Cognito) and data infrastructure tools. Strong proficiency in Python and PostgreSQL. Familiarity with Redis, Redshift, or Clickhouse. Expertise integrating REST APIs and third-party data providers. Strong written and verbal communication skills; able to simp
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