Forward Deployed Agent Engineer, Early Career
At a glance
Mid-level Solutions & Sales Engineering role at Cogent Security. New York · full-time · $100,000–$160,000 base.
Growth Roles summary, based on the employer's posting.
What you'll do
- Build security AI agents that work across large datasets, security tools, and complicated operational workflows
- Lead customer implementations from data onboarding and transformation through configuration, workflows, and production rollout
- Test, assess, and deploy text, voice, and multimodal models in live customer environments
- Work with security teams to connect agents to their tools, processes, and data sources
- Turn recurring customer needs into platform upgrades, while debugging edge cases for reliable performance
What you bring
- You graduate in December 2026 or spring 2027 with a degree in computer science, software engineering, mathematics, physics, or a related field
- You can program in Python, Go, TypeScript, Java, or a comparable language
- You have built and shipped real projects and can diagnose failures with or without AI tools
- You communicate clearly across technical and non-technical groups and take ownership through ambiguity
Who this fits
This role suits an early-career engineer who wants direct customer work, end-to-end ownership, and field-tested results. You’ll work in New York on a hybrid basis and interact with customer security teams. The role centers on independent execution across implementation, production deployment, debugging, and platform feedback.
From the employer
About Cogent Security
Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Our AI Taskforce assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab - providing the research needed to make agentic security workflows a reality.
Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
We're backed by Greylock and our team includes people from:
Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and Waterloo
High-growth companies like Scale AI, Databricks, Stripe, Tesla, and Coinbase
Cybersecurity leaders from Wiz, Abnormal AI, and Zscaler
Research labs like DeepMind and SAIL
About the Role
We're hiring a Forward Deployed Agent Engineer, New Grad to deploy AI agents in complex customer environments and drive measurable security outcomes. This is a highly cross-functional, forward-deployed role - you'll work directly with customers to understand their needs, adapt our platform to their environment, and continuously iterate on solutions that scale to millions of real-world events.
You'll have real ownership from day one. You'll own projects end-to-end: from initial implementation and data onboarding, to deploying in production, to integrating feedback into our core agent platform. Your work will directly shape how our agents detect threats, triage incidents, and automate security workflows for enterprise organizations.
This role is built for engineers who thrive in high-impact environments, want to see the tangible results of their work in the field, and are ready to operate with autonomy from the start.
What You'll Do
Design & Deploy AI Agents - build security-focused AI agents that reason over large datasets, interact with security systems, and handle complex real-world workflows
Own Implementations End-to-End - lead technical delivery for customers, from data ingestion and transformation pipelines to configuration, workflow design, and feature extension
Integrate the Latest Models at Scale - experiment with, evaluate, and ship text, voice, and multi-modal models into production environments
Adapt to Diverse Environments - work directly with customer security teams to integrate our agents with their tools, processes, and data sources
Drive Platform Evolution - identify cross-customer trends and translate field insights into platform improvements and new capabilities
Solve Complex Technical Problems - debug deep in the stack, investigate edge cases, and ensure our agents meet enterprise-grade reliability and performance standards
What We're Looking For
Graduating December 2026 or Spring 2027 with a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field
Proficiency in one or more programming languages (Python, Go, TypeScript, Java, or similar)
Strong software fundamentals - you've built and shipped real projects (coursework, internships, or personal) and can debug what breaks, with or without AI tooling
Strong communication skills, with the ability to translate between technical and non-technical contexts
Thrive in ambiguity, take ownership end-to-end, and prioritize customer outcomes over output
Bonus Points
Internship or project experience in customer-facing, forward-deployed, or consulting engineering roles
Exposure to early-stage startups where scope was ambiguous and you operated across functions
Familiarity with multi-modal AI models, enterprise SaaS, security operations, or large-scale data pipelines
For California Based Applicants
The standard base salary range for this position is $100,000 - $160,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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