SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and enterprise IT. Since its founding in 2017, SymphonyAI has grown to serve 2,000+ enterprise customers globally with 2,500 talented professionals across over 30 countries.
Job Description
We are seeking an experienced Technical Consultant with specialization in Data and Integration to join our dynamic team. The ideal candidate will possess a deep understanding of data management, integration solutions, and related technologies, providing expert guidance to clients on the design, implementation, and optimization of data and integration architectures. 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.
Key Responsibilities
- Collaborate with clients and project teams to analyze business requirements and translate them into technical specifications focused on data and integration needs.
- 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.
- Perform data mapping, data transformation, and data quality activities to ensure the accuracy, completeness, and consistency of information across systems.
- Provide technical leadership and guidance on best practices for data governance, security, compliance, and integration patterns.
- Troubleshoot integration issues, optimize performance, and ensure high availability and reliability of deployed solutions.
- Develop and review XML / JSON based configurations and data exchange schemas.
- Participate in technical meetings with clients, discussing SAML, SSO, REST APIs, Architecture Design, and basic networking considerations.
- Work with solution architects to translate functional needs into technical, architectural, and data specifications, factoring in AI components where relevant.
- 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.
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, JSON -based configurations and integrations.
- Basic knowledge of SAML, SSO, and similar authentication and security protocols.
- Familiarity with REST APIs and GraphQL API and how they fit into broader integration strategies.
- Familiarity with data governance, master data management (MDM), and data security concepts.
- Strong analytical and problem-solving skills with the ability to think strategically and deliver practical solutions.
- 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.
- Strong Linux/Unix skills (RHEL, CentOS, Solaris) and Python scripting for data and automation tasks.
- Prior exposure to financial services, preferably in financial crime or compliance domains.
- Understanding of AI model governance concepts such as explainability, auditability, and data privacy in production deployments.
What we Offer
- Work with cutting-edge AI and cloud-native technologies.
- Opportunities to innovate within a collaborative and dynamic global team.
- Career development and continuous learning through training, certifications, and mentoring.
- Flexible hybrid working model with exposure to international clients and enterprise projects.
- Be a part of an organisation focused on transforming financial services through responsible AI.
About Us
SymphonyAI Financial Services is a global leader in financial crime and compliance solutions. We are seeking a forward-thinking Technical Consultant with expertise in modern cloud and container technologies to support our growing customer base in APAC. This role is key to delivering successful implementations, integrations, upgrades, and technical support of our advanced AI-driven financial crime platform.