Solution Architect

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Symphony Solutions

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

🤖 Artificial Intelligence

🎮 Gaming

☁️ SaaS

Artificial Intelligence • Gaming • SaaS

Symphony Solutions is a software company that builds AI-powered platforms and services focused on iGaming and enterprise software. Their public site highlights products such as BetSymphony (a turnkey iGaming / sportsbook and online casino platform), BetHarmony (an AI-powered conversational agent and bet recommendation system), Harmony (an AI assistant for customer service), and Symphony Cloud (a cloud development environment and DevOps tooling). They market AI-driven business transformation services and platform solutions for operators and enterprises, and also reference a corporate charity initiative.

📋 Description

• 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.

🎯 Requirements

• 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 • Databases (RDBMS and NoSQL) • Architectural styles and design patterns • Security patterns, computer security, and networking vulnerabilities • 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 • 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 • 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 • 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