Full-Time Forward Deployed Engineer- AI & Data, Financial Services | Locations: NY/NJ/CA/MN. Must reside locally or be willing to relocate.

Role Overview:

We are seeking a highly experienced Forward Deployed Engineer (FDE) to design, build, and deploy AI, Generative AI, Agentic AI, and data-driven solutions for Financial Services clients. This is a hands-on, client-facing role combining deep engineering expertise, solutioning and consulting experience, and an understanding of regulated financial environments. The FDE will translate complex business problems into secure, scalable, governed, production-ready solutions.

Key Responsibilities:

• Design and deploy GenAI, Agentic AI, LLM, RAG, copilots, intelligent workflows, and AI-enabled automation.
• Build production-quality solutions using Python, Java, SQL, APIs, cloud-native technologies, and modern AI frameworks .
• Demonstrate hands-on proficiency with AI-native engineering tools such as Claude Code, Devin, GitHub Copilot, Codex, Cursor, or equivalent platforms , using them to accelerate software engineering, testing, modernization, debugging, and delivery.
• Integrate AI models and agents with enterprise applications, APIs, data platforms, knowledge sources, and existing banking systems.
• Lead solutions from discovery and rapid prototyping through engineering, testing, deployment, and production transition .
• Partner directly with business, engineering, architecture, data, security, risk, and compliance stakeholders to convert ambiguous problems into implementable solutions.
• Design for security, privacy, access control, human oversight, data lineage, observability, traceability, auditability, and responsible AI .
• Create reusable engineering patterns and accelerators and coach client teams on AI-enabled engineering practices.

Required Qualifications:

• 15+ years of overall experience across software engineering, data engineering, AI/ML, enterprise technology, or related areas.
• 10+ years of consulting, advisory, solution engineering, architecture, or client-facing technology delivery experience , preferably with large enterprise clients.
• Strong hands-on engineering experience with Python/Java, SQL, APIs, distributed systems, data platforms, and Azure, AWS, or GCP .
• Practical experience designing and delivering GenAI/LLM applications, RAG solutions, AI agents, prompt engineering, tool/function calling, orchestration, evaluation, and model integration .
• Demonstrated proficiency with Claude Code, Devin, GitHub Copilot, Codex, Cursor, or similar AI-assisted/agentic development tools , with the ability to apply them across the SDLC.
• Proven ability to take complex solutions from POC → pilot → secure, scalable production deployment .
• Strong executive and technical communication skills, with the ability to operate effectively across business and engineering stakeholders.