Forward Deployment Engineer (Quantitative Analytics Specialist 4 - Contingent)

Everforth Apex
Charlotte, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 181K

Job location

Charlotte, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Continuous Integration
Information Engineering
Rapid Prototyping Process
SQL Databases
Unstructured Data
Google Cloud Platform
Large Language Models
Prompt Engineering
Build Management
Containerization
Kubernetes
Docker

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

  • 5+ years of Quantitative Analytics, Applied AI/ML, or equivalent experience

  • Strong experience with GenAI (LLMs, RAG pipelines, prompt engineering, agentic frameworks)

  • Experience with API integration, cloud platforms (AWS/Azure/Google Cloud Platform), and CI/CD/deploymentPlusses:

  • Prior financial services experience (preferred but not required)

  • Experience with containerization (Docker/Kubernetes)

  • Strong data engineering skills (SQL, pipelines, structured/unstructured data)

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

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