Job Title: Forward Deployed Engineer (FDE) – Agentic AI & Enterprise Solutions

Location: Multiple Locations across the USA (NY, NJ, Delaware, Columbus, Plano, Houston, Chicago, or other corporate offices)
Work Model: Hybrid – 2–3 days onsite per week
Experience: 10+ Years
Open Positions: 5
Domain: Banking / Financial Services – Mandatory

Job Summary

Avanciers seeking experienced Forward Deployed Engineers (FDEs) with strong expertise in AWS, Amazon Bedrock, Java, and Agentic AI to design, develop, and deploy enterprise-grade AI solutions. Candidates must have banking or financial services experience, preferably in payment gateways, payment processing, or card management systems.

The ideal candidate will combine hands-on software engineering, AI solution architecture, and customer-facing delivery experience to transform business requirements into secure, scalable, production-ready AI applications.

Key Responsibilities

• Collaborate with business stakeholders, product owners, and engineering teams to translate business requirements into AI-driven solutions and system architectures.

• Own end-to-end solution delivery, from discovery and prototyping to MVP development, production deployment, and optimization.

• Design and implement agentic AI workflows and multi-agent systems using LangGraph, Semantic Kernel, CrewAI, or similar frameworks.

• Develop LLM-powered solutions using Amazon Bedrock, foundation models, prompt engineering, RAG, context engineering, and tool integration.

• Build scalable backend services, APIs, and complex enterprise integrations using Java and cloud-native technologies.

• Implement AI guardrails, human-in-the-loop workflows, validation mechanisms, and fallback strategies.

• Leverage AI-assisted development tools such as Cursor and GitHub Copilot for coding, testing, code reviews, and documentation.

• Design and maintain CI/CD pipelines, Infrastructure as Code (IaC), and DevSecOps/MLOps practices.

• Ensure compliance with enterprise security, data privacy, AI governance, model risk management, and regulatory requirements.

• Present technical solutions and architecture decisions to business stakeholders and engineering leaders while driving continuous improvement.

Required Skills & Experience

• 10+ years of overall software engineering experience.

• Mandatory hands-on experience with AWS, Amazon Bedrock, and Java.

• Mandatory banking or financial services domain experience.

• Experience with payment gateways, payment processing, or card management systems is highly preferred.

• Strong knowledge of backend development, APIs, distributed systems, system design, and enterprise architecture.

• Hands-on experience with Agentic AI frameworks such as LangGraph, Semantic Kernel, CrewAI, n8n, or similar.

• Experience with LLMs, prompt engineering, RAG, context engineering, memory systems, and AI tool integration.

• Experience developing and deploying production-grade cloud-native applications.

• Knowledge of CI/CD, IaC, DevSecOps, automated testing, and deployment automation.

• Familiarity with AI coding tools such as Cursor, GitHub Copilot, or equivalent platforms.

• Understanding of AI governance, security controls, model monitoring, and compliance in regulated environments.

• Excellent communication, analytical, problem-solving, and stakeholder management skills.

Preferred Qualifications

• Experience in customer-facing engineering, Forward Deployed Engineering, Solutions Engineering, or Field Engineering roles.

• Experience building multi-agent systems and enterprise AI platforms.

• Knowledge of AI governance frameworks, model risk management, and financial services compliance.

• Experience creating reusable architecture patterns, solution accelerators, and engineering standards.

• Familiarity with Azure, Google Cloud Platform, or OpenShift.

Ideal Candidate Profile

The ideal candidate is a hands-on engineering professional who can bridge business requirements and technical implementation, build Agentic AI solutions using AWS Bedrock and Java, and deliver secure, scalable, production-ready applications within a banking or financial services environment.