Why This Role Stands Out
This hybrid role offers a fantastic opportunity to directly impact major banking clients by designing and deploying cutting-edge AI and automation solutions, fostering significant career growth in a highly reputable company. You'll thrive here if you possess strong Python, SQL, and API skills, coupled with a background in financial services and a passion for innovative problem-solving. This contract-to-hire position is an excellent chance to advance your career in a dynamic and collaborative environment.
Quick Overview
Job Description
Forward Deployed Engineer (FDE) – Banking
Location: San Francisco, CA / New Jersey
Work Model: Hybrid – 3 Days Onsite
Duration: 6 Months Contract-to-Hire
Type: C2H or FTE
Job Overview
We are looking for a Forward Deployed Engineer (FDE) with strong banking/financial services experience and hands-on expertise in software engineering, cloud, APIs, data, and AI/LLM solutions. The FDE will work directly with banking clients to understand business problems, design solutions, and deploy production-ready AI and automation applications.
Responsibilities
- Work directly with banking clients to gather requirements and solve complex technical problems.
- Design and deploy AI/LLM solutions, RAG, tool calling, evaluation, observability, and security controls.
- Build integrations using Python, SQL, APIs, cloud platforms, and enterprise systems.
- Convert business requirements into solution designs, technical roadmaps, and delivery plans.
- Partner with Engineering, Product, Security, Data, Compliance, and Business teams.
- Manage priorities and clearly communicate technical risks and trade-offs.
Required Skills
- 5+ years in Software Engineering, Solutions Architecture, Technical Consulting, or FDE roles.
- Mandatory Banking / Financial Services experience.
- Strong hands-on Python, SQL, APIs, Cloud, and enterprise integrations.
- Experience building and deploying AI/LLM applications and RAG solutions.
- Strong customer-facing and communication skills.
- Experience working in regulated or security-sensitive environments.
Preferred
- Data platforms, data governance, MLOps/LLMOps.
- Private cloud, on-premises, or air-gapped environments.
- Banking modernization or AI transformation experience.
- Knowledge of banking domains such as risk, lending, payments, fraud, compliance, or financial data.
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