Symphony Solutions is a Cloud- and AI-driven technology company headquartered in the Netherlands, delivering both world-class services and innovative products. With a remote-first mindset, we’ve built a global presence spanning over 20 countries. We specialize in full-cycle software development, cloud engineering, AI services, and digital marketing orchestration.
The Solution Architect drives technical credibility across the pre-sales cycle and translates client needs into winnable, deliverable architectures. The role spans pre-sales leadership, enterprise architecture design, and active contribution to our AI service line across iGaming, Aviation, and Healthcare verticals.
Requirements
Experience:
- 5+ years of software development experience with at least one of: Python, Java, Node.js
- 3+ years in a solution architecture function within a service or product company
- Experience leading and mentoring one or more software development teams
- Working experience with Lean / Agile / Scrum and team scaling frameworks (SAFe, LeSS, or equivalent)
- Demonstrable experience in pre-sales activities (RFP/RFI, discovery workshops, technical proposals)
- English proficiency at minimum **B2 level (CEFR)**, spoken and written
Computer Science Foundations:
- Databases (RDBMS and NoSQL)
- Architectural styles and design patterns
- Security patterns, computer security, and networking vulnerabilities
Practical Technical Experience:
- High-load systems design
- Cloud providers: AWS, Azure, or GCP
- Microservices architecture (modular, scalable system design)
- Event-driven architecture (Kafka, RabbitMQ, or cloud-native messaging services)
- CI/CD principles and tools (Bitbucket Pipelines, GitLab CI, Argo, etc.) and deployment strategies
- Containerisation and orchestration; Kubernetes; hybrid cloud
- Security posture, data privacy, and data protection in software development
AI & Data Systems Foundations:
- Cloud AI services: working knowledge of AWS (SageMaker, Bedrock), Azure (Cognitive / AI Services), or GCP (Vertex AI)
- Generative AI and LLM landscape, including SaaS vs. self-managed trade-offs and model selection criteria
- Security in AI solutions: secure model handling, data anonymisation, compliance considerations
Soft Skills:
- Building trusted relationships with clients and internal customers
- Influencing senior decision-makers
- Analysis of business, product, and technology requirements; reasoning about architectural trade-offs
- Strong communication and presentation skills
- Critical thinking and analytical reasoning
- Teamwork and collaboration
Nice-to-Have:
- Industry experience in iGaming, Aviation, or Healthcare, including familiarity with relevant regulatory contexts (e.g., gambling licensing, aviation safety standards, HIPAA/GDPR)
- Agentic AI architecture: design patterns, frameworks, and orchestration tools (LangGraph, MCP, A2A)
- Cloud provider Architect or Engineer certifications
- AI Platform Architect badges or equivalent vendor credentials
Responsibilities:
- Lead technical pre-sales activities, including discovery sessions, client workshops, and RFP/RFI responses.
- Manage stakeholders, advise customers, gather requirements, articulate solution trade-offs, and communicate effectively across business and technical audiences.
- Kick off customer projects for custom development services, ensuring a smooth transition into delivery.
- Design architectures for enterprise systems and digital products across iGaming, Aviation, and Healthcare.
- Contribute to company-wide AI adoption, including the rollout of AI tools and definition of optimisation guidelines.
- Conduct technical interviews for Solution Architect and Tech Lead roles on request.
Expected Outcomes
- Improved win rate and quality of pre-sales engagements: high-level architectures, assumptions and risk statements, estimation sessions, and client-ready proposals delivered on time
- Strengthened AI service line through new technical solutions, capabilities, and reusable assets that support sales and marketing
- Accurate estimations with measurable variance against actuals on kicked-off projects
- Trusted-advisor relationships established with key clients and internal stakeholders
- Maintained hiring quality bar for Solution Architect and Tech Lead roles via technical interviews
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