Remote Forward Deployed Engineer II – AI Risk & Deployment

Sayari; United States; Remote; USD 160,000 - 180,000; Full time

Job summary

Sayari’s Forward Deployed Engineering team seeks a highly seasoned engineer to lead end-to-end deployments for our largest customers. You will embed in client environments, build on Sayari’s agentic platform against their data and workflows, and solve high-stakes problems with no textbook answers.

You will bridge field learnings with core engineering, shaping the next product roadmap. You are an engineer, strategist, and operator—owning the technical win from concept to production, while

Qualifications

• 5+ years in a client-facing technical role (forward deployed engineering, sales engineering, or technical consulting).
• 7-8+ total years of experience working in software engineering and/or solutions consulting.
• A record of owning strategic deployments end to end, from technical win to production.
• Production Python, including the data manipulation ecosystem (Pandas). Deep experience having worked with SQL. Hands-on experience integrating and reasoning about REST APIs.
• Building and deploying on cloud platforms (AWS, GCP, or Azure) with containers (Docker, Kubernetes).
• You are a technology polyglot, you have worked across multiple tech stacks and enjoy getting the opportunity to navigate different coding languages, frameworks, and systems.
• AI-assisted coding tools (Cursor, Claude, or similar) as a daily part of how you work.
• Executive communication. You articulate technical concepts with clarity and conviction to engineers, analysts, and senior leaders alike.
• Problem solving in ambiguity, and the drive to parachute into new environments and learn new technologies on the fly.
• Bachelor’s or Master’s degree in a technical field.
• Hands-on experience building agentic or LLM systems: orchestration, tool use, retrieval, evaluation.
• Sovereign, air-gapped, or government cloud deployments.
• Modern data stack (Snowflake, Databricks) and workflow orchestrators (Airflow, Prefect).
• Graph data technologies and their query languages.
• Exposure to ML, NLP, or entity resolution.
• Experience in high-stakes domains: AML and financial crime, supply chain risk, or national security.

Responsibilities

• Win the technical evaluation: design and run demos, proofs of concept, and trials that prove the platform on the customer’s own data.
• Deploy the agentic platform: build agents, tools, and integrations on Sayari’s agentic platform inside the customer’s environment, and take them from trial to production.
• Embed and build: ship production Python, SQL, and integrations into customer persistence layers and analytics stacks.
• Own the relationship: serve as the primary technical authority for the account. Brief executives, analysts, and mission owners on outcomes.
• Triage and feed engineering: decide what is bespoke, what is reusable, and what belongs in the platform. Document capability gaps and drive them into the roadmap.
• Raise the bar: set delivery standards and review work for other engineers on your accounts.

Skills

Executive communication

Problem solving in ambiguity

Technical versatility

AI-assisted coding tools

Education

Bachelor’s or Master’s degree in a technical field

Tools

Python

SQL

REST APIs

AWS/GCP/Azure

Docker/Kubernetes

Snowflake/Databricks

Airflow/Prefect

Job description

Sayari’s Forward Deployed Engineering team seeks a highly seasoned engineer to lead end-to-end deployments for our largest customers. You will embed in client environments, build on Sayari’s agentic platform against their data and workflows, and solve high-stakes problems with no textbook answers.

You will bridge field learnings with core engineering, shaping the next product roadmap. You are an engineer, strategist, and operator—owning the technical win from concept to production, while