Forward Deployed Engineer (FDE)

Pyramid Consulting, Inc; Plano (TX); On-site; USD 103,000 - 117,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid sick leave

Job summary

Pyramid Consulting, Inc. is seeking a Forward Deployed Engineer (FDE) for a long-term contract with on-site opportunities across NY/NJ/Delaware/Columbus/Plano/Houston/Chicago.

The role focuses on AI-first engineering, agentic architectures, and enterprise-grade deployments. Ideal candidates have strong AWS/Bedrock/Java expertise, banking domain experience, and a track record in cloud-native platforms, distributed systems, and DevSecOps.

Qualifications

• Strong knowledge of AWS, Bedrock and Java is mandatory.
• Banking domain experience is mandatory.
• Experience building production grade cloud native platforms/applications.
• Proficiency in Python, Java, Go or similar languages.

Responsibilities

• Idea to Production Solution Delivery from inception to rollout.
• Partner with stakeholders to understand problems, workflows and outcomes.
• Design AI enabled solution architectures and agent workflows.

Skills

AWS

Bedrock

Java

Python

Distributed systems

Agentic AI tooling

Tools

Cursor

LangGraph

Semantic Kernel

CrewAI

GitHub Copilot

Job description

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).

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
• Work with frontier foundation models (LLMs, multimodal models) and enterprise approved model stacks
• 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
• 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
• 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
• 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.
• 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.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.