Job Description
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Company Overview
The company develops AI-native solutions that help regulated financial institutions streamline back-office operations. Its platform supports compliance, risk management, fraud prevention, and operational workflows using organization-specific data and policies. The technology emphasizes traceability, cited outputs, and audit-ready processes to meet the requirements of highly regulated environments.
About the Role
The Forward Deployed Engineer will work directly with customers to deploy and integrate AI technology in complex enterprise environments. The role combines software engineering, customer implementation, and product discovery, helping organizations integrate AI systems into their existing infrastructure while identifying opportunities to improve and scale the platform.
Responsibilities
- Deploy AI agents: Implement AI solutions for financial institutions and related organizations while navigating security, connectivity, and compliance requirements.
- Manage customer integrations: Work on-site with customers to resolve integration challenges, connect core systems, and address issues that arise in live production environments.
- Translate business workflows: Collaborate with compliance, anti-money laundering, risk, and operations teams to translate business processes and regulatory requirements into effective AI agent behavior.
- Build reusable capabilities: Develop connectors, configuration tools, and internal frameworks that turn customer-specific implementations into repeatable platform features.
- Guide customer deployments: Support customers from initial demonstrations through production launch, acting as a trusted technical advisor and helping them maximize the value of the platform.
- Collaborate cross-functionally: Work with engineering, product, and go-to-market teams to remove implementation blockers and ensure successful customer outcomes.
- Troubleshoot production issues: Reproduce, diagnose, and resolve technical problems in live deployments in collaboration with engineering teams.
- Identify product opportunities: Communicate customer feedback and usage patterns to product and engineering teams, identifying recurring needs that can be addressed through new platform features.
Technical Qualifications
- At least 2 years of experience as a software engineer or in a similar technical role.
- Strong background in backend software engineering or data engineering.
- Experience with Python, APIs, data pipelines, and cloud infrastructure.
- Active hands-on experience building with large language models (LLMs) and modern AI systems.
- Previous experience in a customer-facing technical role, such as solutions engineering, forward deployed engineering, or technical implementation, is an advantage.
Soft Skills
- Excellent written and verbal communication skills.
- Ability to explain AI systems and technical concepts to non-technical stakeholders.
- Strong debugging, analytical, and problem-solving skills.
- Confidence working directly with enterprise customers in complex technical environments.
Disclaimer
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- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
