Solutions Engineer
C
CrewAIAI agent orchestration
United Kingdom. Spain. United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSPythonGCPAzureRESTful APIsPrompt Engineering
Requirements
- 3+ years in a pre-sales or customer-facing technical role (Solutions Engineer, Sales Engineer, Technical Consultant, or similar).
- Strong proficiency in Python.
- Hands-on experience with APIs, system integrations, and cloud platforms (AWS, Azure, or GCP).
- Familiarity with AI/ML concepts and technologies, including LLMs, AI agent frameworks, RAG patterns, and prompt engineering.
- Exceptional communication and presentation skills.
- Experience building and delivering product demos and proof-of-concept solutions under time pressure.
- Knowledge of workflow orchestration, multi-agent systems, or distributed computing is a strong plus.
- Bachelor's degree in Computer Science, Engineering, or a related technical field preferred.
- Contributions to open-source AI agent projects or experience with GenAI solution design patterns is a significant bonus.
Responsibilities
- Lead technical discovery calls to deeply understand prospects' business objectives, data landscapes, and existing technology stacks.
- Translate prospect requirements into solution architectures that showcase CrewAI's multi-agent capabilities, including agent role design, workflow orchestration, and integration points.
- Develop and present tailored technical proposals, architecture diagrams, and scoping documents that align CrewAI's platform to prospect needs.
- Build and deliver compelling product demonstrations and proof-of-concept implementations that bring CrewAI's value to life for technical and executive audiences.
- Scope, manage, and execute time-boxed POC engagements, defining clear success criteria and working hands-on with prospect engineering teams.
- Develop reusable demo environments, scripts, and reference architectures that accelerate the pre-sales cycle.
- Partner closely with Account Executives throughout the sales cycle—from initial qualification to technical close.
- Respond to RFPs, RFIs, and security questionnaires with accurate, compelling technical content.
- Serve as the trusted technical advisor for prospects, handling objections and competitive differentiation conversations with confidence.
- Provide feedback to Product and Engineering teams based on patterns observed across prospect engagements.
- Conduct technical workshops, webinars, and conference presentations that position CrewAI as an industry leader in AI agent orchestration.
- Create and maintain technical collateral—white papers, integration guides, comparison matrices—that support the sales motion.
- Stay current on competitive offerings, AI/ML trends, and emerging multi-agent design patterns.
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