
Large Language Model Solutions Architect
3 days ago
A leading asset management firm is enhancing its AI-driven innovation strategy by embedding prompt engineering expertise directly within its investment and operations teams.
The role of Senior Prompt Engineer is crucial in bridging the gap between investment professionals and the central AI engineering group, ensuring seamless integration of domain-specific large language model applications.
Key Responsibilities:
- Translate complex investment and operational challenges into clear, effective prompts for LLMs.
- Collaborate with enterprise architects and technical leads to integrate key data sources.
- Leverage user feedback and performance metrics to continuously refine prompt strategies.
- Establish and manage a centralized prompt repository with governance and traceability.
- Develop and deliver training sessions to equip teams with prompt engineering skills.
- Identify and deploy tools to automate prompt generation and refinement.
- Run pilot projects in parallel with existing processes to ensure risk-managed innovation.
- Engage with investment, operations, and AI teams to align technical solutions with business needs.
Qualifications & Skills:
- Demonstrated experience in prompt engineering, AI development, or related LLM-based roles.
- Minimum of three years of Python development and scripting experience (basic scripting is sufficient).
- Proven ability to translate complex business challenges into technical solutions.
- Strong understanding of LLMs, prompt optimization, and enterprise integration.
- Excellent communication and collaboration skills with cross-functional teams.
- Advanced degree in Computer Science, Engineering, or a related field (preferred).
- Experience in financial services or asset management (highly advantageous).
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