Solutions Architect designing scalable cloud solutions for Toptal's clients and engaging in opportunity scoping. Collaborates with cross-functional teams to drive successful outcomes and enhance client value.
Responsibilities
Participate in client conversations from the second call forward — when opportunity scoping begins — to conduct deeper technical and business discovery alongside account management.
Lead the design of scalable, secure, and cost-effective architectures across cloud, AI/ML, data, security, and application modernization domains, leveraging industry best practices.
Work closely with clients to understand their business challenges, technical needs, and strategic goals, surfacing adjacent use cases and expansion opportunities that increase deal depth and pipeline value.
Guide cross-functional teams in shaping and validating proposed solutions, ensuring best practices in architecture, security, and delivery feasibility.
Partner with account management and sales leadership to shape pursuit strategies, define solution approaches, and contribute to proposals and technical presentations.
Assess existing client environments, identify areas for improvement, and recommend strategies that strengthen the business case and expand the engagement scope.
Ensure proposed solutions account for relevant security, compliance, and governance standards such as ISO 27001, NIST, and SOC 2.
Work closely with the Director of Cloud Services, delivery teams, talent operations, and strategic partners to drive successful outcomes across the full engagement lifecycle.
Stay current with technology trends, emerging platforms, and industry best practices to inform Toptal’s Technology Services strategy and strengthen client-facing credibility.
Requirements
Bachelor’s degree is required
5+ years of experience in solutions architecture, pre-sales engineering, technical consulting, or a related technical field.
Broad technical fluency across multiple domains — cloud infrastructure (AWS, Azure, GCP), data and analytics, AI/ML, application modernization, and/or security. Deep specialization in one or more areas is valued, but versatility across domains is essential.
Familiarity with cloud-native technologies such as containerization, serverless computing, and microservices architecture.
Working knowledge of Infrastructure-as-Code (IaC) tools, CI/CD pipelines, and DevOps practices.
Understanding of security best practices, including identity and access management, encryption, and compliance frameworks.
Experience with or strong awareness of AI/ML solutions, including generative AI, agentic AI patterns, and how these capabilities are being applied in enterprise environments. Ability to speak credibly to AI use cases in client conversations and incorporate AI-driven approaches into solution designs.
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