Skip to content
OscilarOscilar

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.

About the job

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 APIs, SQL, JSON, LLMs, Claude, Gpt, Snowflake, ETL, Webhooks, Agentic AI, Llm Prompts, Data Pipelines

Nash

Nash

San Francisco, CA

Forward Deployed Engineer
No salary listedRemote4+ YOESolutions Architecture

Build, deploy, and operate production logistics software directly with enterprise customers. The role requires 4+ years shipping software, strong API or backend experience, and the ability to combine coding, architecture, and customer-facing problem solving.

Greenhouse

Greenhouse

United States

Strategic Consultant
$106k+/yrOn-site3+ YOESolutions Architecture

Own complex strategic enablement engagements for major customers, advising on Greenhouse workflows, configurations, recruiting strategies, audits, and change management. Requires extensive Greenhouse knowledge, project management experience, and at least three years advising on talent-related functions.

Scale AI

Scale AI

India

Forward Deployed Engineer, Gen AI
No salary listedOn-site4+ YOESolutions Architecture

Build and deploy end-to-end data infrastructure and customer-facing solutions for leading AI organizations and government agencies. The role requires strong coding, customer collaboration, scalable product delivery, and familiarity with distributed systems, cloud infrastructure, and AI concepts.

Infisical

Infisical

United States

Enterprise Solutions Engineer
No salary listedRemoteSolutions Architecture

Customer-facing Solutions Engineer responsible for proofs of concept, onboarding, technical demos, and enterprise customer success. The role requires development, systems engineering, or DevOps experience and strong communication skills, with familiarity with security infrastructure and developer workflows preferred.

MongoDB

MongoDB

Bengaluru, India

Solutions Architect
No salary listedHybridSolutions Architecture

Leads technical strategy and execution for complex, high-value GSI-led bids, developing scalable architectures, proposals, and partner delivery models. Requires customer-facing solutions architecture experience, enterprise pursuit expertise, cloud and modern application knowledge, and strong executive communication skills.