Responsibilities
- Collaborate with enterprise and strategic clients to assess their operational workflows, data environments, and technical needs.
- Design, develop, and implement tailored AI solutions using generative AI, large language models, machine learning, computer vision, and client-specific data sources.
- Manage end-to-end project execution, from initial scoping and solution design to development, testing, deployment, and ongoing refinement.
- Optimize and integrate AI and machine learning pipelines, covering data preparation, prompt engineering, model selection, and performance evaluation.
- Develop robust, scalable software integrations using APIs, cloud platforms, and containerized architectures.
- Diagnose and resolve complex technical challenges across applications, models, data flows, infrastructure, and third-party integrations.
- Serve as a trusted technical partner to clients, guiding them in adopting new AI capabilities and product features.
- Work closely with internal product and engineering teams to relay customer insights and influence product development priorities.
- Create clear, comprehensive documentation, including system architectures, operational runbooks, and technical guides for client teams.
- Support and mentor less experienced engineers while helping refine field delivery best practices.
Work Arrangement
On-site
Other
- Frequent travel to client locations is a requirement of this role.
- Candidates must be prepared to serve as a trusted technical advisor to clients.
- Applicants must be willing and able to travel on a regular basis.
