AI Solutions Engineer building agentic automations for CSC Generation, an AI - native holding company transforming omnichannel retail brands. Connecting APIs, marketing platforms, and data workflows to reduce manual work across its multi - brand portfolio.
About the role
- 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.
- Experience with cloud migration strategies, hybrid environments, and/or application modernization approaches.
- Solid grasp of networking concepts in cloud environments (VPC, firewalls, load balancing, DNS).
- Proficiency in at least one programming language (e.g., Python, Go, Java, or JavaScript).
- Passion for staying current with technology trends and a commitment to continuous learning across the evolving tech landscape.
- Outstanding written and verbal communication skills.
- Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts.
Benefits
- We do not offer visa sponsorship or assistance
- Resumes and communication must be submitted in English
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