Solution Architect
$135,000–$155,000 year
HybridLincoln, England, United Kingdom
Job Summary
Assess a client's existing technology landscape and rationalize the pros, cons, and risks of current versus proposed solutions. Design end-to-end solution architectures spanning application, data, AI/ML, and DevOps, then present and defend these recommendations to client stakeholders, including technical leads and executive sponsors. Create and maintain architecture decision records that capture trade-offs and reasoning, while guiding engineering teams through implementation, prototyping, and unblocking hard technical problems. Evaluate emerging tools and AI capabilities to improve client delivery speed, partnering with DevOps and engineering leads to align architecture with CI/CD and cloud infrastructure realities. Support planning, estimation, and risk management across the project lifecycle, flagging architectural risks early.
Required Qualifications
- 9+ years of hands-on software or systems engineering experience
- Experience designing and owning architecture for complex, client-facing solutions
- Understanding and ability to solve complex client problems that will impact client business
- Proven ability to evaluate an existing technology landscape and make a clear, defensible recommendation, including build-vs-buy and platform trade-offs
- Strong grounding across at least two of the following: application architecture, systems/infrastructure design, data architecture, AI/ML solutioning, and DevOps
- Comfort learning a new domain or stack quickly (just-in-time), with enough hands-on ability to validate an approach yourself rather than only directing others
- Experience presenting technical recommendations directly to clients, including non-technical and executive stakeholders
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and modern CI/CD practices
- Solid understanding of databases and data platforms (SQL, NoSQL, and analytics platforms such as BigQuery)
- Clear, confident communication skills, and the judgment to know when to hold a position and when to adapt it
- The drive to learn, adapt, and apply to the ever changing technology landscape
Desired Qualifications
- Experience in a consulting or professional services environment, including supporting pre-sales, proposals, or client discovery
- Experience architecting solutions that incorporate AI/ML capabilities into existing products or platforms
- Experience leading architecture review boards or similar governance processes
- A track record of guiding teams through complex technical challenges and ambiguous requirements to a shipped outcome
- Certifications in a cloud platform or AI such as AWS Solution Architect or Claude Certified Architect
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