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/ Colomb 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, Google Cloud Platform, 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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