FORWARD DEPLOYED ENGINEER (FDE) AGENTIC AI
Location: New York, NY | Work Mode: 100% Onsite | Contract: 5 Months | Industry: Financial Services | Experience: 8–15+ Years
About the Role
This is a hands-on Forward Deployed Engineering role where you will work directly with internal business teams to identify manual, high-value workflows and transform them into production-ready Agentic AI automations. Rather than simply receiving requirements and handing off designs, you will embed directly with business functions, understand their processes firsthand, rapidly prototype solutions, deploy them, and continuously improve them based on real-world user feedback. You will own the full lifecycle: discovery, design, prototype, production, iteration.
Key Responsibilities
- Embed directly with business functions to understand workflows, processes, and pain points.
- Identify and prioritize high-value opportunities for AI-powered workflow automation.
- Design and build Agentic AI solutions using existing foundation models and agent frameworks.
- Develop solutions involving tool calling, function calling, multi-step reasoning, and agent orchestration.
- Translate ambiguous, undocumented manual processes into practical, automatable workflows.
- Own delivery from discovery and prototyping through production deployment and continuous improvement.
- Work directly with non-technical business stakeholders and iterate solutions based on real user feedback.
- Implement human-in-the-loop controls, audit logging, explainability, and governance for regulated environments.
- Build RAG solutions for unstructured enterprise data including contracts, policies, reports, correspondence, and other documents.
- Integrate AI solutions with existing enterprise systems, databases, APIs, and internal platforms.
- Work closely with security and compliance teams to prepare solutions for production.
- Develop reusable components and patterns that can be adopted by other teams and business functions.
Required Technical Skills
Software Engineering
- 8–15+ years of software engineering experience
- Strong Java and/or Python
- Strong SQL & data modeling
- Experience working with enterprise/legacy data systems
Agentic AI / GenAI
- Hands-on experience building and deploying production AI/ML or Agentic AI systems
- Agent frameworks and foundation models
- Tool Calling / Function Calling
- Multi-step Agent Orchestration
- RAG / Retrieval-Augmented Generation
- Embeddings & Vector Databases
- Experience with Pinecone, Weaviate, Milvus, or similar technologies
Cloud & Integration
- AWS/cloud deployment experience
- REST APIs and enterprise integrations
- Ability to integrate quickly with existing enterprise systems and data platforms
- Experience building lightweight monitoring for accuracy, usage, and reliability
Governance & Compliance
- Human-in-the-loop AI patterns
- Audit-by-design logging
- Model evaluation and AI quality assessment
- AI guardrails and responsible automation
- Experience working in regulated environments
Ideal Candidate
We're particularly interested in candidates who have experience as:
- Forward Deployed Engineer
- AI/ML Engineer
- GenAI Engineer
- Agentic AI Engineer
- Solutions Engineer
- AI Solutions Architect
- Senior Software Engineer AI/ML
Experience working directly with business teams, clients, or internal stakeholders is highly valuable.
Domain Experience
- Experience in regulated industries such as Banking, Financial Services, Insurance, Healthcare is strongly preferred.
- Experience automating workflows within Risk, Compliance, Internal Controls, Financial Reporting, or Shared Services is a major plus.
What Makes This Role Different
- This isn't a traditional ticket-driven engineering role.
- You will work directly with business users.
- You will discover automation opportunities yourself.
- You will build Agentic AI solutions rapidly.
- You will take solutions all the way into production.
- You will iterate based on real-world usage.
- You will help establish reusable AI automation patterns across the organization.