# Forward Deployed Engineer

**Company:** [Oscilar](https://hotfix.jobs/companies/oscilar)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** REST APIs, SQL, JSON, LLMs, Claude, Gpt, Snowflake, ETL, Webhooks, Agentic AI, Llm Prompts, Data Pipelines
**Posted:** 2026-05-12

> 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.

## Job Description

## 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.

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