Forward Deployed Engineer

Role:
Forward Deployed Engineer - Agentic AI Financial Services and Fintech

Mode of Hire:
Full Time

We are seeking a Forward Deployed Engineer (FDE) to work directly with business, operations, product and engineering teams to design and deploy AI-powered solutions across financial-services workflows. The FDE will combine software engineering, AI expertise and domain knowledge to take solutions from discovery and prototyping through production deployment, adoption and continuous improvement.

• Understand business workflows, operational challenges and system constraints.
• Identify high-value opportunities for AI agents, copilots and workflow automation.
• Translate business needs into solution designs, agent workflows and measurable outcomes.
• Build agents for customer and advisor support, payment operations, merchant onboarding, ticket routing, knowledge search, incident diagnosis, reconciliation, exception handling, testing and release support.
• Develop solutions using LLMs, retrieval-augmented generation (RAG), tool calling, APIs and human-in-the-loop workflows.
• Integrate agents with financial applications, databases, Service Now, Jira, CRM and monitoring platforms.
• Convert successful prototypes into secure, scalable production solutions.
• Define evaluations for accuracy, reliability, latency, security and business value.
• Implement monitoring, audit logging, access controls, fallback and rollback mechanisms.
• Partner with architecture, cybersecurity, risk and compliance teams.
• Support production deployments and continuously improve solutions based on user feedback.

• 5+ years of experience in software engineering, AI engineering, platform engineering, Dev Ops or enterprise application development.
• Experience with LLMs, RAG, prompt engineering, agent frameworks and tool calling.
• Experience integrating applications using APIs, databases and event-driven systems.
• Understanding of cloud platforms, CI/CD, observability and production support.
• Strong problem-solving, stakeholder-management and communication skills.
• Ability to take solutions from ambiguous requirements through production deployment.

• Experience in payments, banking, wealth management, brokerage, lending or merchant services.
• Knowledge of financial-services security, privacy, compliance and audit requirements.
• Experience with Service Now, Jira, Datadog, Splunk, AWS, Azure or Google Cloud.
• Experience with Lang Graph, Semantic Kernel, Auto Gen, CrewAI, vector databases, Docker or Kubernetes.
• Previous consulting, solutions-engineering or customer-facing technical experience.
• Success Measures
• Production agents deployed and adopted.
• Reduction in manual effort and processing time.
• Improved operational and engineering productivity.
• Reduced incident-resolution time and recurring issues.
• Agent accuracy, reliability and successful-execution rates.
• Compliance with security, risk and audit requirements.