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OscilarOscilarUnited States

Forward Deployed Engineer

Forward Deployed Engineer owns technical pre-sales, customer implementations, agentic AI deployments, and product feedback for Oscilar's AI risk decisioning platform in fintech. Requires 5+ years in technical customer-facing roles, deep AI/ML expertise, and financial services experience.

Salary not listed
Remote5+ YOESolutions Architecture

About the role

What You’ll Do

Technical Pre-Sales

  • Lead technical discovery with prospective customers, uncovering integration requirements, data architecture constraints, and risk decisioning objectives across onboarding, fraud, credit, and compliance use cases.
  • Architect and deliver proof-of-concept implementations using Oscilar's platform, solving and showing value of customer’s problem through workflows and agentic solution that demonstrates clear time-to-value.
  • Design and present technically rigorous solution architectures tailored to each prospect's environment, including API integration patterns, data pipeline design, and agent workflow configuration.
  • Assist in responses to technical sections of RFPs, security questionnaires, and integration feasibility assessments.
  • Serve as the primary technical voice during the evaluation process, building credibility and trust with engineering, data, and risk teams on the customer side.

Customer Implementation & Deployment

  • Own the end-to-end technical implementation for new customers partnering with the Technical Account Manager, Account Executive and Sales Engineer, from kickoff through go-live: integration design, data mapping, agent workflow configuration, and UAT support.
  • Configure and optimize Oscilar's AI agents and decisioning rules to match each customer's operational context, risk appetite, and regulatory environment.
  • Proficient using AI coding tools (Claude, Codex, Cursor, or similar) to rapidly prototype scripts, build workflow automations, parse logs, and debug integrations.
  • Serve as the primary technical point of contact for assigned accounts throughout the customer lifecycle, maintaining trusted advisor relationships with both technical practitioners and executive stakeholders.
  • Lead technical health reviews, proactively surface performance gaps, and drive resolution of escalations with urgency and clear ownership.
  • Proactively identify upsell and expansion opportunities — recognize when a customer's workflow gaps map to Oscilar capabilities they're not using, and bring a concrete proposal to the AE with enough technical depth to close it.

Agentic AI Deployment

  • Design and deploy multi-step agentic workflows for customers — automating onboarding, fraud investigation, credit decisioning, case management, alert triage, and compliance monitoring end to end.
  • Configure agent parameters directly through Oscilar's UI: field mappings, matching logic thresholds, and disposition policies tailored to each customer's operational context.
  • Evaluate customer data infrastructure, model outputs, and decisioning logic to tune agent performance and reliability in production environments.
  • Craft and refine LLM prompts within agent workflows — structuring prompts effectively to drive accurate, auditable, and compliant agent behavior.
  • Participate in agent backtesting sessions — running configuration changes against historical case data to validate performance before production deployment.
  • Guide customers in defining their agentic AI strategy for risk operations: which decisions to automate, how to structure human-in-the-loop oversight, and how to measure agent effectiveness.
  • Understand and communicate agent evaluation concepts (evals, golden datasets, false positive feedback loops) to customer stakeholders and internal teams.
  • Stay at the forefront of agentic AI patterns, tooling, and emerging best practices — and bring that expertise into every customer strategy conversation.

Product Intelligence

  • Synthesize patterns across customer deployments and deliver structured product feedback, feature requests, and gap analyses to Oscilar's product and engineering teams.
  • Contribute reusable implementation playbooks, agent workflow templates, and integration accelerators that raise the bar across all customer deployments.
  • Participate in roadmap discussions as the voice of the field — your proximity to customers and production deployments makes you uniquely positioned to identify what Oscilar should build next.

What You’ll Bring

  • 5+ years in a technical customer-facing role such as Solutions Engineer, Solutions Architect, Technical Account Manager, or Forward Deployed Engineer in an Agentic AI company, B2B SaaS or fintech environment.
  • Demonstrated track record of owning technical implementations end-to-end, from initial scoping through production go-live.
  • Experience working with financial services customers — ideally across fraud, credit risk, AML/compliance, or payments — is strongly preferred.
  • Prior experience deploying or configuring AI/ML platforms, agentic workflows, or LLM-powered systems in an enterprise context is a significant advantage.
  • Strong command of REST APIs, webhooks, and data integration patterns (ETL, event streaming, Snowflake and other cloud data warehouses).
  • Comfortable reading and writing SQL; able to navigate and interpret data pipelines, model outputs, and feature schemas.
  • Fluency with JSON, data schemas, and enterprise integration architectures.
  • Hands-on experience using LLMs (Claude, GPT, or similar) for practical problem-solving — including analyzing logs, debugging agent behavior, and structuring prompts for workflow automation.
  • Deep hands-on fluency with LLMs — structuring prompts for workflow automation, iteratively refining based on outputs, debugging agent behavior, and translating ambiguous business requirements into precise AI task instructions.
  • Demonstrated ability to craft effective LLM prompts — including prompt structuring, iterative refinement, and translating business requirements into AI task instructions.
  • Design creative configurations using Oscilar's AI capabilities — combining prompt-driven logic with rule-based decisioning, chaining AI outputs across workflow steps, and building novel automations.
  • Familiarity with agentic AI concepts: agent orchestration, tool use, memory, human-in-the-loop design, and evaluation frameworks.
  • Ability to configure and troubleshoot complex software platforms at depth — this role requires engineering-level thinking and platform mastery.

Skills

REST APIsSQLJSONLLMsClaudeGptSnowflakeETLWebhooksAgentic AILlm PromptsData Pipelines
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