Technical Consultant

Introduction SymphonyAI Financial Services is on a mission to make the financial system safer. We combine more than 25 years of financial crime expertise with advanced AI to help financial institutions detect risk, fight financial crime, and navigate an increasingly complex regulatory environment. We are reimagining financial crime compliance around connected risk intelligence, agent led workflows, and embedded governance, helping institutions strengthen controls, reduce manual effort, and adapt as risks evolve.

Job Description Job title: Technical Consultant Department: Professional Services Location: Poznań, Poland – hybrid, 3 times per week from the office We are looking for a technically curious, client-focused Technical Consultant to join our team and support the implementation, configuration, and optimization of AI-powered compliance and financial crime solutions.

This is a growth role in which you will build hands-on experience on a leading Fin. Tech platform, and develop towards owning client workstreams. You will work with colleagues across compliance, risk, technology, and business teams to help translate regulatory and business requirements into technical solutions supporting areas such as AML, KYC, fraud monitoring, sanctions screening, and payment screening.

Responsibilities

Client & Solution Delivery Support client onboarding onto the Fin. Tech platform by contributing to requirements gathering and configuration tasks. Provide effort estimates for your own assigned tasks and keep your TPM and team lead informed of progress and blockers. Participate in client and internal workshops, capture notes and actions, and help follow through on implementation activities.

Turn functional and regulatory requirements into configuration specifications, working from detailed specifications and reviewed designs. Work with Solution Architects, senior consultants, and Engineering to implement solutions; escalate design decisions to senior colleagues. Join client-facing technical discussions on integrations, APIs, SAML/SSO, networking, and deployment under supervision.

Complete assigned configuration, testing, and documentation tasks to quality standards and agreed deadlines. Support client acceptance phases (SIT, UAT, and OAT) by logging, categorising, and analysing defects, and by retesting fixes. Platform Configuration & Deployment Configure, deploy, and troubleshoot platform components using GitHub, YAML, JSON, and XML, following established runbooks and reviewed configurations.

Use SQL and shell scripting to support configuration, troubleshooting, and simple automation tasks. Follow best practices for source control, CI/CD, deployment, and environment management. Assist with platform upgrades, integrations, and production deployments. Deepen your hands-on skills in Helm and Kubernetes as you take on more deployment work.

AI/ML & Automation Use AI and LLM tools to support documentation, troubleshooting, and analysis, and always validate AI responses before use. Assist with data preparation and validation for AI applications. Support colleagues with the deployment and integration of AI/ML model endpoints within compliance solutions. Learn how AI/ML concepts such as model drift and degradation apply in practice, working with Data Science.

Support & Continuous Improvement Provide technical support and troubleshooting for deployed solutions, using knowledge bases, logs, and technical documentation. Help monitor solution performance against SLA commitments and flag issues early to senior team members. Keep clear internal technical documentation and configuration records.

Share learnings with the team and contribute ideas for improving delivery practices and automation. Support knowledge transfer sessions to client, operational, and support teams. You may be a good fit if you have Professional experience 1–3 years of professional experience with up to 2 years in a comparable role and scope.

Technical Working knowledge of SQL and database concepts. Familiarity with Linux/Unix environments and Bash scripting. Experience with Git/GitHub and version control. Hands-on experience with YAML and JSON configuration. Understanding of REST APIs and foundational knowledge of Helm and Kubernetes concepts (hands-on experience is not required).

Understanding of SAML/SSO and basic networking concepts. Ability to read and follow simple code in Python, Java, or similar languages. AI Experience using AI and LLM tools for documentation and troubleshooting, with the discipline to check outputs before relying on them. Consulting & communication Clear written and verbal communication, including with non-technical colleagues.

Ability to work with clients and stakeholders under supervision and to manage your own tasks within a team. Structured troubleshooting using logs, documentation, and knowledge bases. Proactive in raising risks and blockers early. Strong candidates may also have Exposure to financial crime, AML, KYC, fraud, sanctions, or compliance tools.

Cloud fundamentals in AWS, Azure, or GCP; cloud certification in progress. Exposure to ML model concepts. Hands-on prompt design experience. Hands-on experience with Helm, Kubernetes, or XML.

About Us

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 IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

#Li-hybrid Job title: Technical Consultant Department: Professional Services Location: Poznań, Poland – hybrid, 3 times per week from the office We are looking for a technically curious, client-focused Technical Consultant to join our team and support the implementation, configuration, and optimization of AI-powered compliance and financial crime solutions.

This is a growth role in which you will build hands-on experience on a leading Fin. Tech platform, and develop towards owning client workstreams. You will work with colleagues across compliance, risk, technology, and business teams to help translate regulatory and business requirements into technical solutions supporting areas such as AML, KYC, fraud monitoring, sanctions screening, and payment screening.

Responsibilities

Client & Solution Delivery Support client onboarding onto the Fin. Tech platform by contributing to requirements gathering and configuration tasks. Provide effort estimates for your own assigned tasks and keep your TPM and team lead informed of progress and blockers. Participate in client and internal workshops, capture notes and actions, and help follow through on implementation activities.

Turn functional and regulatory requirements into configuration specifications, working from detailed specifications and reviewed designs. Work with Solution Architects, senior consultants, and Engineering to implement solutions; escalate design decisions to senior colleagues. Join client-facing technical discussions on integrations, APIs, SAML/SSO, networking, and deployment under supervision.

Complete assigned configuration, testing, and documentation tasks to quality standards and agreed deadlines. Support client acceptance phases (SIT, UAT, and OAT) by logging, categorising, and analysing defects, and by retesting fixes. Platform Configuration & Deployment Configure, deploy, and troubleshoot platform components using GitHub, YAML, JSON, and XML, following established runbooks and reviewed configurations.

Use SQL and shell scripting to support configuration, troubleshooting, and simple automation tasks. Follow best practices for source control, CI/CD, deployment, and environment management. Assist with platform upgrades, integrations, and production deployments. Deepen your hands-on skills in Helm and Kubernetes as you take on more deployment work.

AI/ML & Automation Use AI and LLM tools to support documentation, troubleshooting, and analysis, and always validate AI responses before use. Assist with data preparation and validation for AI applications. Support colleagues with the deployment and integration of AI/ML model endpoints within compliance solutions. Learn how AI/ML concepts such as model drift and degradation apply in practice, working with Data Science.

Support & Continuous Improvement Provide technical support and troubleshooting for deployed solutions, using knowledge bases, logs, and technical documentation. Help monitor solution performance against SLA commitments and flag issues early to senior team members. Keep clear internal technical documentation and configuration records.

Share learnings with the team and contribute ideas for improving delivery practices and automation. Support knowledge transfer sessions to client, operational, and support teams. You may be a good fit if you have Professional experience 1–3 years of professional experience with up to 2 years in a comparable role and scope.

Technical Working knowledge of SQL and database concepts. Familiarity with Linux/Unix environments and Bash scripting. Experience with Git/GitHub and version control. Hands-on experience with YAML and JSON configuration. Understanding of REST APIs and foundational knowledge of Helm and Kubernetes concepts (hands-on experience is not required).

Understanding of SAML/SSO and basic networking concepts. Ability to read and follow simple code in Python, Java, or similar languages. AI Experience using AI and LLM tools for documentation and troubleshooting, with the discipline to check outputs before relying on them. Consulting & communication Clear written and verbal communication, including with non-technical colleagues.

Ability to work with clients and stakeholders under supervision and to manage your own tasks within a team. Structured troubleshooting using logs, documentation, and knowledge bases. Proactive in raising risks and blockers early. Strong candidates may also have Exposure to financial crime, AML, KYC, fraud, sanctions, or compliance tools.

Cloud fundamentals in AWS, Azure, or GCP; cloud certification in progress. Exposure to ML model concepts. Hands-on prompt design experience. Hands-on experience with Helm, Kubernetes, or XML. 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 IT service management.

Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. #Li-hybrid