Forward Deployment Engineer (Quantitative Analytics Specialist 4 - Contingent)
Role details
Job location
Tech stack
Job description
In this contingent resource assignment, you will consult on complex initiatives with broad impact and large-scale planning for Quantitative Analytics. You will review and analyze complex, multi-faceted challenges requiring deep evaluation of multiple factors, including ambiguous or unprecedented situations. You will contribute to resolving complex issues, leveraging a strong understanding of policies, procedures, and compliance requirements, while collaborating strategically with business and technical stakeholders. Day-to-Day Responsibilities:
- Partner directly with Enterprise AI teams and business stakeholders to translate real-world requirements into production-grade AI solutions
- Own full lifecycle delivery including rapid prototyping, development, deployment, and production hardening
- Design and build AI/ML and GenAI solutions (LLMs, RAG pipelines, prompt engineering, agent-based workflows)
- Integrate AI applications with enterprise APIs, data sources, and internal systems
- Develop and deploy solutions using cloud platforms (AWS, Azure, Google Cloud Platform) and CI/CD pipelines
- Work with structured and unstructured data to support AI-driven use cases
- Collaborate cross-functionally to scope, iterate, and refine solutions quickly
- Ensure solutions meet security, regulatory, and compliance standards within a financial services environment
- Communicate technical concepts clearly to both technical and non-technical stakeholders
Requirements
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5+ years of Quantitative Analytics, Applied AI/ML, or equivalent experience
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Strong experience with GenAI (LLMs, RAG pipelines, prompt engineering, agentic frameworks)
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Experience with API integration, cloud platforms (AWS/Azure/Google Cloud Platform), and CI/CD/deploymentPlusses:
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Prior financial services experience (preferred but not required)
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Experience with containerization (Docker/Kubernetes)
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Strong data engineering skills (SQL, pipelines, structured/unstructured data)