Forward Deployed Engineer (FDE)

Immediate need for a talented Forward Deployed Engineer (FDE) . This is a Long-Term contract opportunity with long-term potential and is located in NY/ NJ/ Delaware/ Columbus/ Plano/ Houston / Chicago (Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-32538

Pay Range: $75 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Idea to Production Solution Delivery
• Partner with business stakeholders to understand problem statements, workflows, and desired outcomes
• Convert business intent into AI enabled solution designs, agent workflows, and system architectures
• Own end to end delivery: prototype → MVP → production rollout
• Deploying enterprise complex systems integrations while solving critical business problems
• Drive rapid iteration while maintaining enterprise grade quality, security, and reliability
• Agentic AI Solution Engineering
• Design and implement agentic workflows using enterprise agentic AI platforms
• Orchestrate multi agent systems that handle reasoning, planning, execution, validation, and monitoring
• Encode business logic, SOPs, policies, and controls into autonomous or semi autonomous agents
• Apply human in the loop, guardrails, and fallback mechanisms where required
• Frontier Models & Context Engineering
• Work with frontier foundation models (LLMs, multimodal models) and enterprise approved model stacks
• Perform context engineering:
• Prompt design and prompt chaining
• Tool grounding and retrieval augmented generation (RAG)
• Knowledge graph and memory integration
• Optimize solutions for accuracy, latency, cost, and reliability
• AI First Engineering & Developer Tooling
• Leverage AI assisted development tools to accelerate delivery:
• Cursor
• GitHub Copilot
• AI assisted testing, code review, and refactoring tools
• Establish AI augmented engineering workflows across design, build, test, and release phases
• Coach teams on effective human AI collaboration in engineering
• Intelligent CI/CD & MLOps
• Design and implement intelligent CI/CD pipelines integrating:
• AI generated code and test artifacts
• Policy and control validation
• Automated security and compliance checks
• Integrate agentic workflows into DevSecOps / MLOps pipelines
• Ensure repeatable, auditable, and scalable deployments across environments
• Enterprise Readiness & Governance Alignment
• Ensure solutions comply with:
• Security, privacy, and data handling policies
• Model risk management and AI governance frameworks
• Regulatory and audit requirements (especially in regulated industries)
• Collaborate with platform, security, and governance teams to operationalize guardrails
• Contribute patterns, blueprints, and reusable assets to the enterprise AI platform
• Customer & Stakeholder Engagement
• Act as a trusted technical advisor to customers and internal stakeholders
• Present architectures, demos, and outcomes to engineering leaders, business heads, and executives
• Gather feedback from production usage and continuously improve solutions
• Serve as the "voice of the customer" back into platform and product teams

Key Requirements and Technology Experience:

• Key Skills; Strong knowledge of AWS, Bedrock and Java is mandatory, Client operates primarily on AWS and Java, this is a key requirement.
• Banking domain experience is mandatory.
• Minimum 10+ Years experience.
• Core Engineering & Architecture
• Strong background in software engineering (backend, APIs, distributed systems)
• Experience building production grade cloud native platforms/applications
• Proficiency in at least one modern programming language (Python, Java, Go, or similar)
• Solid understanding of system design, scalability, and reliability
• Skilled in hyperscale platforms (AWS, GCP, Azure, OpenShift)
• Agentic AI & AI Engineering
• Hands on experience with agentic AI frameworks and orchestration patterns (n8n, LangGraph, Semantic Kernel, CrewAI, etc.)
• Experience working with LLMs / foundation models in enterprise settings (Claude, Gemini, OpenAI)
• Strong skills in prompt engineering, context engineering, and tool integration
• Understanding of RAG, memory systems, and knowledge grounding
• Spec driven development - Architecture, Security and Application frameworks.
• AI Tooling & Productivity
• Practical experience using Cursor, GitHub Copilot, or similar AI coding tools
• Familiarity with AI assisted testing, documentation, and code review
• Ability to design AI first developer workflows
• DevOps, CI/CD & Platform Integration
• Experience with CI/CD pipelines, infrastructure as code, and cloud platforms
• Understanding of DevSecOps and automated control enforcement
• Familiarity with MLOps concepts for model lifecycle and monitoring
• Strong problem solving and analytical mindset
• Ability to work in ambiguous, fast moving environments
• Excellent communication skills with both technical and non technical stakeholders
• Customer centric mindset with ownership and accountability
• Good handle on Complex enterprise system integrations
• Experience in regulated industries (banking, financial services, healthcare, etc.)
• Exposure to AI governance, model risk, and compliance frameworks
• Prior experience in customer facing engineering roles (FDE, Solutions Engineer, Field Engineer)
• Experience contributing to platform blueprints, accelerators, or internal frameworks
• Business ideas move to production faster and with higher confidence
• Agentic AI solutions deliver measurable business outcomes
• Engineering teams adopt AI first workflows with strong governance
• Customers trust the platform and the FDE as a strategic delivery partner

Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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