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Solutions Architect

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Symphony Solutions
Full Time position
Listed on 2026-07-07
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, IT Consultant
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

What is the project, and why should you care?

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.

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

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 No

    SQL)
  • Architectural styles and design patterns
  • Security patterns, computer security, and networking vulnerabilities
Practical Technical

Experience:
  • Cloud providers: AWS, Azure, or GCP
  • Event-driven architecture (Kafka, RabbitMQ, or cloud-native messaging services)
  • CI/CD principles and tools (Bitbucket Pipelines, Git Lab 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 (Sage Maker, 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
  • 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 (Lang Graph, MCP, A2A)
  • Cloud provider Architect or Engineer certifications
Here are some of the things you’ll be working on:
  • 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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