AI Solution Engineer
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141 open solutions engineer jobs at 42 employers, updated twice a day.
As of 23 September, 158 solutions engineer roles are open at 44 employers. 11 new roles have been posted since 21 September. The countries with the most are the United States, India and the United Kingdom. Of the roles that say how they work, 21% are remote or hybrid.
Among the roles listed here, solutions engineers are concentrated most heavily in the United States, which accounts for roughly half of all postings. India is the next largest source, followed by the United Kingdom and Singapore, with Canada and Australia each contributing a small share. The spread of seniority is striking: the large majority of roles that state a level are lead positions, with manager roles making up about a fifth and senior roles a smaller portion still. Mid-level and intern openings are rare. Most postings appeared within the last month, and about a fifth were added in the most recent week. Hiring is notably concentrated, with the majority of roles sitting at a small number of employers. Cloud infrastructure and AI-related capabilities dominate what employers mention in their descriptions.
Figures are measured every Monday.
A solutions engineer sits at the intersection of sales and technical work, helping prospective customers understand how a product or platform can meet their specific needs. The role typically covers product demonstrations, proof-of-concept work, responses to technical proposals and close collaboration with account teams. It differs from a software engineer in that customer-facing communication and commercial outcomes are central, not incidental. It differs from a pure sales role in that hands-on technical depth is expected throughout. In customer-facing contexts the title overlaps with solutions architect; in internal settings the same title can describe someone who designs and documents solutions for an organisation's own problems. People commonly enter from engineering, pre-sales or technical support backgrounds and progress through lead and principal levels or into management.
Cloud platforms feature prominently across descriptions, with AWS mentioned most often, followed by GCP and Azure. AI-related capabilities appear frequently too: agents and large language models each appear in roughly half of descriptions, and retrieval-augmented generation and fine-tuning appear in a substantial minority. APIs and Python are common technical foundations. Prompt engineering appears in a smaller but notable share. Evaluation — assessing model or solution performance — rounds out the picture of a role expected to work fluently across both cloud infrastructure and applied AI.
Share of the open roles' descriptions that mention it, from a sample of 158. A mention is not a requirement.
On-site work is by far the most common arrangement among roles that state a mode, accounting for the large majority. Hybrid working is mentioned by a small minority, and fully remote roles are similarly rare. Candidates expecting flexible or home-based arrangements will find the options limited, though a modest share of postings do offer them.
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