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 a talented Technical Consultant with expertise in building software agents—such as AI-powered digital assistants, chatbots, autonomous process agents, and RPA bots—to join our innovative consulting team. In this role, you will help clients automate processes, improve user experiences, and enhance business efficiency by designing, developing, and deploying intelligent agent solutions using cutting-edge technologies. This role requires adaptability, strong communication skills, and the ability to balance multiple client engagements
Key Responsibilities
- Collaborate with clients and internal teams to on-board them in our FinTech platform seamlessly and within the agreed schedule.
- Work closely with clients to gather requirements and define use cases for agent-based automation and digital assistance.
- Design and develop intelligent agents, including chatbots, virtual assistants, RPA bots, and autonomous process bots using leading frameworks
- Ensure agents adhere to security and compliance requirements, particularly in handling sensitive data and user interactions.
- Test and optimize agent performance, accuracy, and reliability; conduct troubleshooting and enhancements as needed.
- 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 / 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.
- Proficiency with at least one major agent development or RPA platform
- 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.
- Programming skills in relevant languages (e.g., Python, JavaScript, C#, etc.).
- Excellent problem-solving and analytical skills, with a focus on user experience and business value.
- 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.
- 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
- The opportunity to define the future of AI-powered onboarding in the financial SaaS industry.
- Collaboration with experts in automation, AI, and cloud operations.
- Access to world-class tools, certifications, and innovation programs.
- Hybrid working flexibility with a focus on career development.
- Competitive compensation, benefits, and global exposure.
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.