Solutions Architect

What is the project, and why should you care?

Symphony Solutions is a Cloud and AI-driven IT company headquartered in the Netherlands. We are a premier software provider of custom iGaming, Healthcare, and Airline solutions. Devoted to delivering the highest quality of service, we offer our expertise in full-cycle software development, cloud engineering, data and analytics, AI services, digital marketing orchestration, and more. Since our founding in 2008, Symphony Solutions has been serving many international clients primarily in Western Europe and North America.  

A solutions architect is a key technical player in the process of presales, starting new project delivery, and development of the service and engineering practice across all Symphony Solutions projects. Solutions Architects report directly to the VP of Delivery. They work closely with other SA and with Service Delivery Managers and Product Owners.

You will be an excellent fit for this position if you have:

• Excellent communication and presentation skills 
• Ability to effectively present information to top management and public groups
• 7+ years of experience  in software development with any of the following: Java, C#, Python, JavaScript
• Broad knowledge of cutting-edge software technologies  
• Experience in leading and mentoring one or more software development teams
• Experience with Lean / Agile / Scrum and team scaling practices and frameworks (SAFe, Less, or other)
• At least one year of experience in solution architecture functions in service or product companies:
  • Building trusted relationships with clients / internal customers
  • Influencing senior decision-makers
  • Leading medium to large-sized solution delivery projects
  • Analysis of business, product, and technology requirements
    

Excellent knowledge in Computer Science / Programming Theory:

• Databases
• Code testing practices
• Algorithms
• Architectural & Enterprise Patterns
• Design patterns
• Deployment patterns
• Security patterns, computer security, and networking vulnerability
  

Practical experience with:

• High load systems
• Cloud technologies (AWS, Azure, GCP)
• Microservices and Serverless architecture
• RDBMS / NoSQL
• Messaging / Service Bus systems
• Version control systems (GIT)
• CI/CD tools (e.g., Gitlab Pipeline, Jenkins, TeamCity, Bamboo)
• Networking protocols, conventions
• Containerization and Orchestration

Core AI & ML Knowledge

• Machine Learning Fundamentals: Supervised/unsupervised learning, model evaluation, overfitting/underfitting.
• Deep Learning Basics: Neural networks, CNNs, RNNs, Transformers (at least at a conceptual level).
• Model Lifecycle Understanding: Training, validation, deployment, and monitoring of AI models.
  

 AI/ML Systems Design & Architecture

• AI Model Integration: How to incorporate models into larger software systems via APIs or services (e.g., REST, gRPC).
• MLOps & Deployment Pipelines:
  • CI/CD for ML: Automating model retraining and redeployment.
  • Familiarity with tools like Kubeflow, MLflow, SageMaker, TensorFlow Serving, or TorchServe.

• Data Engineering & Pipelines: Designing robust data ingestion, ETL/ELT pipelines (e.g., Apache Airflow, Spark, Kafka).
• Cloud AI Services: Knowledge of AI offerings in AWS (SageMaker, Bedrock), Azure (Cognitive Services), or GCP (Vertex AI).
  

Solution Architecture & Design Patterns

• Microservices Architecture: Designing modular, scalable systems.
• Event-Driven Architecture: Kafka, RabbitMQ for real-time AI-driven decisions.
• Security & Privacy in AI: Understanding of secure model handling, data anonymization, and compliance (e.g., GDPR).

Desirable

• Experience in Pre-Sales
• Gambling domain experience
• Experience working with US/European clients
• Project and resource management skills
• Certifications on: Architecture frameworks, Cloud providers, Scrum, or scaling frameworks

Would be a plus:

• Prompt Engineering (for LLMs): Knowing how to craft and tune prompts for models like GPT or Claude.
• Vector Databases: Experience with tools like Pinecone, FAISS, or Weaviate for semantic search.
• LLM System Design: Retrieval-augmented generation (RAG), agents, fine-tuning vs. in-context learning.
• Familiarity with industry-standard frameworks such as COBIT, COSO, and TOGAF

Here are some of the things you’ll be working on:

Pre-sales area

• Engagement with client key stakeholders, presenting the company strategy, and services. Build a trusted relationship with the client
• Find the best among all possible tech solutions based on the Client’s needs and expectations
• Participate in the proposal preparation process from the architecture and engineering process perspective
• Work together with the Service Delivery Manager and the Product Owner on scoping, delivery planning of the projects. Ensure the right estimation process

Delivery area

• Provide customer consulting, participate in discovery phases, and requirements analysis
• Participate in project set-up, gather the team, ensure all required engineering processes are in place and built properly, including scoping, planning, designing, delivery, testing, and deployment of  end-to-end solutions
• Based on functional and non-functional requirements, develop an architecture for custom solutions
• Select tools and technologies (platforms, HW, SW, security network, and other components) for the project.
• Create a solution PoC, prototypes
• Act as the most Senior technical expert on the project; provide inputs to Developers and QA teams;

Competence management

• Conduct technical and cultural interviews for key technical roles in the company
• Contribute to the Community of Practice for the related tech stack. Ensure the training and knowledge sharing activities are aligned with the company’s strategy
• Define the competence engineering standards and adjust the recruitment and grading process
• Take part in interviews for key technical roles