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Charm Security-Forward Deployed AI Engineer

Team8 — Venture group & company builder

Remote, OR, US Remote Mid Posted Aug 6, 2026
BackendAI/LLM

About the role

Description
Charm Security is looking for a Forward Deployed AI Engineer to help the world's leading financial institutions deploy the next generation of AI agents for fraud, scams, and cybercrime prevention and resolution.
As a Forward Deployed AI Engineer, you will work directly alongside customers to understand how fraud teams operate, configure and tailor AI agents to their environment, solve complex operational challenges, and continuously improve deployments based on real-world usage.
You'll operate at the intersection of engineering, AI, customer success, and fraud operations. Every customer is different, and you'll be responsible for turning Charm’s Agentic AI Workforce into a solution that feels purpose-built for each institution.
This role is ideal for someone who loves solving problems, enjoys working directly with customers, and wants to help shape how AI transforms fraud and scam prevention in financial institutions. You'll spend time on customer sites, becoming a trusted technological partner throughout their fraud AI transformation journey.

Key Responsibilities
Work directly with fraud investigators, analysts, contact center teams, and executives to understand workflows and operational challenges
Configure, customize, and optimize Charm's AI agents to match each customer's fraud operations, policies, and processes
Build integrations with customer systems, data sources, and enterprise applications
Rapidly prototype creative solutions for customer-specific requirements
Analyze production usage, identify opportunities for improvement, and continuously evolve customer deployments
Partner closely with Product and Engineering to translate customer needs into new capabilities
Act as a trusted technical advisor throughout the customer's AI fraud transformation journey
Travel regularly to customer sites across the United States for workshops, deployments, training, and executive sessions
Who You Are
You enjoy solving real-world problems where there isn't an obvious answer
You love working directly with customers and becoming deeply embedded in their business
You're highly technical but equally comfortable collaborating with frontline teams
You thrive in ambiguous environments where creativity matters as much as technical execution
You naturally think outside the box and enjoy building elegant solutions for unique customer challenges
You take ownership and are motivated by delivering measurable customer outcomes
Strong communicator who can work across technical and non-technical stakeholders
Thrive in fast-paced startup environments where speed and learning matter

Requirements
+4 years of experience in forward-deployed engineering, solution engineering, implementation engineering, or software engineering
Strong software engineering skills with experience building integrations, APIs, automation, or backend systems
Experience working with AI systems, LLMs, AI agents, or agentic workflows
Experience working directly with enterprise customers on technical deployments or complex implementations
Excellent communication skills with the ability to explain technical concepts to both technical and business audiences
Ability to travel throughout the United States and Canada (approximately 25-50%)
Advantages
Experience in fraud, financial crime, cybersecurity, fintech, banking, or financial services
Familiarity with the fraud and communication platforms' technology stack
Startup experience or experience in fast-moving, customer-facing technical roles
Degree in Computer Science, Engineering, or equivalent practical experience

What the index says about this role

  • First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
  • No pay range in our index for this listing. Across 193 indexed Machine Learning Engineer roles in US that do publish one, the middle half sits between $213k and $300k, median $250k — JobLarper's read of the market, not a figure from Team8.
  • What Machine Learning Engineer roles ask for — across 1,108 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names AI/LLM, Backend.
  • Team8 is hiring actively — 38 open roles indexed.

Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.

⚡ JobLarper watched this role appear on Team8's official board on Aug 6, 2026. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.

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