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 skilled and client-focused Technical Consultant to support the implementation, configuration, and optimization of AI-powered compliance and financial crime solutions.

You will work with compliance, risk, technology, and business stakeholders to translate regulatory and business requirements into scalable technical solutions supporting areas such as AML, KYC, fraud monitoring, sanctions screening, and payment screening.

Responsibilities

Client & Solution Delivery

• Work closely with clients, business stakeholders, and compliance teams to gather requirements and onboard them onto the FinTech platform.
• Provide accurate effort estimates for assigned work items and contribute to delivery planning by collaborating with TPMs and internal stakeholders.
• Participate in client and internal workshops to gather requirements, align on solution design, facilitate implementation activities, and drive successful project delivery.
• Translate functional and regulatory requirements into technical and configuration specifications.
• Collaborate with Solution Architects and Engineering teams to design and implement scalable solutions.
• Participate in client-facing technical discussions covering architecture, APIs, SAML/SSO, networking, integrations, and deployment.
• Takes ownership for technical delivery of assigned workstreams, ensuring quality, timely delivery and adherence to architectural standards.
• Supports formal client acceptance phases (SIT, UAT and OAT), working with clients to identify, categorise and analyse defects, helping drive efficient resolution and successful acceptance of delivered solutions.

Platform Configuration & Deployment

• Configure, deploy, integrate, and troubleshoot platform components using technologies such as GitHub, YAML, Helm, Kubernetes, XML, and JSON.
• Use SQL and shell scripting to support configuration, automation, troubleshooting, and basic performance tuning.
• Follow best practices for source control, CI/CD, deployment, and environment management.
• Support platform upgrades, integrations, and production deployments.

AI/ML & Automation  

• Support the deployment and integration of AI/ML models within compliance solutions, including model endpoints and integration with existing infrastructure.
• Assist with data preparation, validation, and feature engineering for AI applications.
• Collaborate with DS to remediate and improve issues such as data drift, model degradation, or unexpected model outputs
• Leverage AI/LLM APIs for technical and analytical workflows, including prompt design, response validation, workflow automation, and integration of AI outputs into business processes.

Support & Continuous Improvement

• Provide technical support and troubleshooting for deployed solutions.  
• Monitor solution and system performance against SLA commitments, proactively identify improvement opportunities, and take corrective actions to optimize reliability, availability, and service quality.
• Research emerging technologies and identify opportunities to improve platform capabilities, automation, and delivery practices.
• Maintain clear internal and client-facing technical documentation , configuration records, and implementation knowledge.
• Provide technical guidance to colleagues, share knowledge and best practices to support team development and delivery excellence.
• Facilitate knowledge transfer to client, operational and support teams, ensuring solutions can be effectively supported and maintained.

You may be a good fit if you have 

Professional Experience

• 3-7 years of professional experience with 2-5 years in a comparable role and scope

Technical

• Strong experience with SQL and database concepts.
• Hands-on experience with Linux/Unix environments and Bash/shell scripting.
• Experience with Git/GitHub, version control, and CI/CD practices.
• Experience configuring and deploying applications using YAML and Helm.
• Working knowledge of Kubernetes.
• Good understanding of XML and JSON configuration and data integration.
• Experience with REST APIs; familiarity with GraphQL is desirable.
• Understanding of SAML/SSO and basic networking concepts.
• Ability to read, understand, and troubleshoot code in Python, Java, or similar programming languages, with the confidence to work effectively with Engineering teams to investigate issues and support customer implementations.
• Experience working in at least one major cloud environment: AWS, Azure, or GCP.

AI

• Experience leveraging AI technologies, including AI agents, Generative AI, LLMs, and RAG, to automate workflows, validate responses, integrate AI outputs into business processes, and deliver practical business solutions.

Consulting & Communication

• Strong client-facing and stakeholder management skills.
• Ability to communicate technical concepts effectively to both technical and non-technical audiences.
• Ability to manage multiple client engagements and priorities in a fast-paced environment.
• Strong troubleshooting skills, including the use of organisational knowledge bases and technical documentation, log analysis, performance diagnostics, root cause analysis as part of problem-solving skills
• Experienced in proactive reporting of project progress, risks, issues and mitigation options to project management and stakeholders. Understands the need to ensure delivery challenges are identified, communicated and addressed early

Strong candidates may also have

• Hands-on experience with financial crime, AML, KYC, fraud, sanctions, or compliance technology platforms.
• Experience with rule engines, transaction monitoring, alert management, or detection platforms.
• Practical experience using AI/LLM APIs, through REST endpoints or SDKs.
• Experience deploying AI/ML models in financial services or regulated environments.
• Experience with cloud-native architectures and containerized applications.
• Familiarity with GraphQL, microservices, event-driven architectures, or API-based integrations.
• Cloud certification in AWS, Azure, or GCP.
• Experience working with global enterprise clients.

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.

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