Technical Solutions Architect Job Description

A Technical Solutions Architect turns a business problem into a buildable technical design. Given a goal such as moving a claims system to the cloud, connecting a new ERP to a warehouse platform, or putting a customer-facing AI assistant into production, the architect decides which components the system needs, how they connect, where data lives, and how the whole thing behaves when a piece fails. The title also appears as IT Solutions Architect, and both names describe the same job.

The work sits between the people who want an outcome and the engineers who will build it. On one side are product owners, finance, security and compliance staff, each with requirements that pull in different directions. On the other are developers, platform engineers and database administrators who need a design specific enough to implement without guessing. The architect writes down functional requirements (what the system must do) and the non-functional ones that shape the design: latency targets, recovery time and recovery point objectives, data residency, peak load, and the monthly cloud bill the sponsor will accept.

O*NET's profile of Computer Systems Engineers/Architects, the occupation that lists solutions architect among its titles, describes tasks this job runs into every week: identifying the data, hardware and software components a system needs, verifying the stability, interoperability, portability, security or scalability of an architecture, and advising on project costs, design concepts and design changes.

The deliverables are concrete. Expect context and sequence diagrams, data-flow maps, integration specifications for APIs and event streams, a bill of materials for cloud services or hardware, and architecture decision records that explain why the team picked managed Kafka over a queue service, or a single-tenant database over a pooled one. Trade-offs get argued in design reviews, where the architect defends a choice or changes it when someone finds a better answer.

Where the job sits changes its flavor. In-house architects at banks, insurers, health systems or government agencies own designs over years and live with their consequences. Architects at cloud providers, hardware vendors, resellers and consulting firms often work pre-sales: they run discovery workshops with a prospective customer, sketch a reference design, build a proof of concept, and hand a scoped design to a delivery team after the contract is signed. Both versions demand the same core skill, which is explaining one design to an engineer, a security reviewer and an executive in terms each can act on.

After sign-off, the architect stays close to implementation. That means reviewing pull requests that touch shared infrastructure, answering questions from engineers mid-sprint, and catching shortcuts that quietly break the design's security or recovery assumptions before they reach production.

As a rough guide, the path into a Technical Solutions Architect role runs through a bachelor's degree in computer science, information systems or engineering, followed by several years of hands-on work as a software developer, systems or network engineer, cloud engineer or database specialist. For a related occupation, Computer Network Architects, the Occupational Outlook Handbook lists a bachelor's degree as the typical entry-level education and 5 years or more of work experience in a related occupation. Treat that as a benchmark for an adjacent job, not a rule for this one.

Aim for breadth backed by depth in at least one area. A well-prepared candidate can design a VPC or virtual network layout, choose between relational, document and analytical data stores, explain identity federation and least-privilege access, write infrastructure as code in Terraform, OpenTofu, CloudFormation or Bicep, and reason about container platforms such as Kubernetes. Equally important is the habit of quantifying non-functional requirements and writing decisions down so the next team can follow the reasoning.

Communication is half the job. Architects present to audiences with very different questions, so practice drawing a design at three levels: a one-slide context view for executives, a component view for engineering leads, and a detailed deployment view for the people who will build it. Pre-sales architects also need to scope work honestly, since an underpriced design becomes someone else's emergency.

Certifications worth considering, depending on the platforms you design for:

• AWS Certified Solutions Architect - Professional (Amazon Web Services). AWS set Nov. 16, 2026 as the last day to take the SAP-C02 version, with general delivery of SAP-C03 beginning Nov. 17, 2026. The new version adds 7 cloud-native pattern skills and 6 DevSecOps and observability skills, alongside generative AI, agentic AI and resilience topics. AWS recommends 2 or more years of experience using AWS services to design and implement cloud solutions.
• Microsoft Certified: Azure Solutions Architect Expert (Microsoft). Microsoft updated the English version of the certification on April 17, 2026, and candidates must also hold Microsoft Certified: Azure Administrator Associate.
• Professional Cloud Architect (Google Cloud).
• TOGAF Enterprise Architecture Practitioner (The Open Group), useful where a solutions design must fit an enterprise architecture program.

No single credential is a license to practice. Build a portfolio of designs you can walk through in an interview, including one that went wrong and what you changed afterward.

Start with what the data can and cannot say. BLS does not publish a separate count or wage for technical solutions architects. The O*NET profile for Computer Systems Engineers/Architects reports 471,200 employees in 2025 and projects growth of 5% to 6% from 2025 to 2035, a rate it calls faster than average, with about 27,000 openings a year on average. A neighboring occupation offers a second reference point: the Occupational Outlook Handbook projects employment of computer network architects to grow 8 percent from 2025 to 2035, with about 9,600 openings each year, on average, over the decade.

The more useful signal for someone planning a career is what the design work now includes. AWS and Google both publish architecture guidance written for AI workloads. AWS published its Well-Architected Generative AI Lens on Nov. 19, 2025, covering applications that use foundation models on Amazon Bedrock or customer-managed models on Amazon SageMaker AI. Google's Architecture Center added information about Google Cloud MCP servers to its guide for choosing agentic AI architecture components on April 21, 2026. For an architect, these documents read as a checklist of new decisions: which model endpoints a system calls, how retrieval data is chunked and secured, how token spend is capped, and how a tool-calling agent is tested before it touches production data.

Security guidance from CISA and its partners addresses the same designs. On May 1, 2026, CISA and U.S. and international partners published Careful Adoption of Agentic Artificial Intelligence (AI) Services, a joint guide that names risks such as an expanded attack surface, privilege creep, behavioral misalignment and obscure event records. Its recommendations include avoiding broad or unrestricted access, especially to sensitive data or critical systems, and beginning with agentic AI use cases that are low-risk and non-sensitive. Those are architecture decisions, and they land on whoever draws the identity and network boundaries.

None of this replaces the established work. Application modernization, data platform consolidation, hybrid networking, disaster recovery and cost control remain core architecture work, and a design that adds an AI component still needs the same identity model, logging and failover plan as any other system. Be ready to show both: a sound conventional design and a defensible plan for the AI pieces inside it.

Growth paths branch in a few directions. Some architects move toward principal or chief architect roles that set standards across many projects. Others move into engineering management, product management or technical sales leadership, and some go independent as consultants. Whichever path you pick, keep building things yourself, because a design is only as good as your sense of what it costs the people who operate it.

Dear Hiring Manager,

I am applying for the Technical Solutions Architect position on your cloud platforms team. For the past four years I have been the lead architect on a regional insurer's move off two aging data centers, and before that I spent six years as a backend developer and then a platform engineer. I know what it feels like to implement a design someone else drew, which shapes how I draw mine.

The migration I led moved our policy administration and claims systems to a hybrid design: customer-facing services in the cloud, a mainframe batch process kept on site behind a private interconnect, and an event stream between them so neither side waits on the other. I wrote the decision records for every major choice, including why we kept the batch process where it was for another two years instead of rewriting it under deadline. When a regional outage hit during our first quarter in production, the failover plan we had rehearsed held, and our claims adjusters kept working.

This year I designed our first internal AI assistant for claims notes. The interesting work was not the model. It was deciding what the assistant could read, keeping its service identity separate from any human account, logging every tool call, and requiring a person to approve anything that changed a record. Our security team signed off on the first review.

I would bring the same habits to your customers: ask about recovery targets and budget before drawing anything, show trade-offs plainly, and stay involved after handoff. I would welcome the chance to walk you through one of my designs.

Sincerely, Jordan Alvarez