Responsibilities
- Architect, integrate, and oversee the deployment of large language models and machine learning systems in client environments with emphasis on scalability and production stability.
- Act as the main technical point of contact for clients, providing pre-sales support, leading workshops, delivering presentations, and maintaining long-term engagement.
- Bridge communication between client teams, business development, engineering, research, and compliance units to ensure technical solutions meet business and regulatory requirements.
- Establish and uphold standards for data privacy, governance, and ethical use of AI, ensuring adherence to regulations including GDPR and CCPA.
- Convey complex technical concepts clearly to both technical and non-technical audiences.
- Provide mentorship to researchers and engineers while actively contributing to technical deliverables as an individual contributor.
- Lead multiple concurrent projects, ensuring high quality, scalability, and client satisfaction.
- Travel as needed to support client engagements and project implementation.
- Participate in client discussions to collect requirements, offer technical guidance, and confirm alignment with project objectives.
- Deliver technical workshops, product demonstrations, and executive briefings for diverse audiences.
- Convert client needs into detailed technical specifications, project deliverables, and comprehensive documentation.
- Monitor and manage production AI systems, identifying and resolving issues such as model drift, bias, and fairness concerns.
- Evaluate client data practices and conduct privacy and security reviews to ensure compliance with data protection laws and ethical AI principles.
- Collaborate with project managers to monitor timelines, milestones, and project outcomes.
- Assist sales and business development with technical evaluations, feasibility analysis, and pre-sales discussions.
Other
Travel as required for customer meetings and project delivery.
