Forward Deployment Engineer

Introduction SymphonyAI is a leading provider of financial services software, offering advanced solutions in compliance and fraud detection. We are looking for a dynamic and innovative Forward Deployment Engineer to join our Professional Services team. As a Forward Deployment Engineer in our Professional Services Team, you will be instrumental in guiding new clients through a smooth and successful integration with our SaaS platform and implementations on client premises. You will leverage your knowledge of modern development, deployment, and security practices to manage client-specific configurations, ensure optimal performance within our infrastructure, and help clients understand how to utilize our product suite effectively. This role requires adaptability, strong communication skills, and the ability to balance multiple client engagements. Job Description Key

Responsibilities  Collaborate with clients and internal teams to on-board them in our FinTech platform seamlessly and within the agreed schedule.  Work with automation tools (GitHub, YAML, Helm) to package, deploy, and configure applications in Kubernetes (basic to intermediate knowledge).  Create and maintain shell scripts and SQL queries to support integration, troubleshooting, and reporting.  Develop and review XML-based configurations and data exchange schemas.  Participate in technical meetings with clients, discussing SAML, SSO, REST APIs, Architecture Design, and basic networking considerations.  Advocate and implement best practices for version control, CI/CD pipelines, and deployment patterns.  Research emerging technologies and proactively identify areas for improvement.  Provide ongoing support, troubleshooting, and documentation for deployed solutions.  Deploy AI/ML models as part of compliance solutions, including model endpoints and integration with existing infrastructure.  Assist with data preparation, validation, and feature engineering for AI applications, ensuring high-quality inputs for model performance.  Educate and train clients on how to interpret and leverage AI-powered features and outputs.  Troubleshoot and monitor deployed AI solutions, identifying issues such as data drift, model degradation, or unexpected output, and escalate where necessary. What We’re Looking For: Must-Have Skills & Experience  Hands-on experience using GitHub for version control.  Familiarity with YAML syntax and Helm charts for application configuration and deployment.  Working knowledge of Kubernetes (no deep expertise required, but willingness to learn).  Experience writing shell scripts (e.g., Bash) for automation and troubleshooting.  Proficiency with SQL for data manipulation, reporting, and basic performance tuning.  Solid understanding of XML-based configurations and integrations.  Basic knowledge of SAML, SSO, and similar authentication and security protocols.  Familiarity with REST APIs and how they fit into broader integration strategies.  General understanding of networking fundamentals.  Excellent communication skills for client-facing interactions and the ability to explain complex concepts into clear, actionable guidance.  Demonstrated ability to manage multiple projects and adapt to shifting priorities.  Basic understanding of machine learning concepts and model deployment practices.  Ability to monitor AI solution performance and assist with troubleshooting and optimization. Nice-to-Have Experience ➕ Experience with financial crime, AML, KYC, or fraud detection solutions. ➕ Coding experience in one of the main modern languages: python, java, etc… ➕ Understanding of DevOps, CI/CD, and cloud automation best practices. ➕ Certification with any of the major cloud providers: GCP, AWS, Azure. ➕ Understanding of AI model governance concepts such as explainability, auditability, and data privacy in production deployments.