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AI Solutions Engineer
Sin especificarTiempo completoAI EngineeringCybersecurity
Develop practical, scalable AI solutions that improve business processes, productivity, and decision-making. Work with cross-functional teams to identify opportunities and deliver solutions from initial concepts through production and ongoing improvement.
Responsabilidades
- Identify high-impact opportunities for AI and automation with cross-functional teams.
- Assess AI models, platforms, and tools for suitability, performance, cost, security, and scalability.
- Design and implement solutions using large language models, AI agents, agentic workflows, and deterministic integrations.
- Develop and optimize prompts, workflows, and integrations while accounting for model limitations and trade-offs.
- Build scalable integrations across enterprise systems, including NetSuite, HubSpot, Monday.com, and internal platforms.
- Lead AI initiatives from ideation and prototyping through production rollout and continuous improvement.
- Evaluate emerging AI capabilities and features in existing enterprise platforms.
- Own and communicate internal AI solutions, ensuring they align with business needs, systems, and the broader AI architecture.
Requisitos
- At least 3 years of experience with business applications and integrations.
- At least 1 year of hands-on experience building or implementing AI solutions.
- Practical experience with AI platforms such as OpenAI, Claude, Azure OpenAI, or AWS Bedrock.
- Experience with AI development, automation, and integration tools, such as Workato or similar iPaaS platforms.
- Understanding of prompt engineering and the capabilities and limitations of large language models.
- Ability to take AI solutions from concept and prototype through production.
- Understanding of security best practices, AI safety, responsible AI, and governance.
- Strong problem-solving skills and a focus on practical business outcomes.
- Excellent communication and presentation skills, including the ability to work across teams and translate between business and technical stakeholders.