Forward Deployed Engineer(FDE)

Job Title: Forward Deployed Engineer (FDE)
Location: United States, Preferred locations are NY/NJ/Dallas/Chicago
Experience: 5–12 Years
Employment Type: Full-Time
About the Role
We are looking for a highly skilled Forward Deployed Engineer (FDE) to work directly with enterprise clients, bridging the gap between engineering, product, and business teams. As an FDE, you will deploy, customize, and integrate cutting-edge AI, cloud, and data platforms into complex enterprise environments, ensuring customers achieve measurable business outcomes.
This role combines software engineering, solution architecture, customer consulting, and technical delivery. The ideal candidate is comfortable writing production-grade code, solving ambiguous technical problems, and engaging directly with customer stakeholders.
Key Responsibilities
Customer Deployment & Solution Delivery
Partner with enterprise customers to understand business and technical requirements.
Design, build, and deploy scalable AI, data, and cloud solutions tailored to client environments.
Lead end-to-end implementation, integration, and production deployment activities.
Customize product capabilities to meet customer-specific use cases.
Support pilot projects, proofs of concept (PoCs), and enterprise rollouts.
Software Development
Develop production-quality applications, APIs, and automation tools.
Build integrations with enterprise systems, cloud platforms, and third-party applications.
Optimize application performance, scalability, and reliability.
Debug and resolve complex technical issues across distributed systems.
Cloud & AI Implementation
Deploy AI/ML solutions using modern cloud platforms.
Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI applications into enterprise workflows.
Build secure, scalable cloud-native architectures.
Support infrastructure automation and CI/CD pipelines.
Client Engagement
Act as the primary technical advisor for customer deployments.
Translate business challenges into technical solutions.
Conduct architecture reviews, technical workshops, and knowledge transfer sessions.
Collaborate with executive stakeholders, architects, and engineering teams.
Cross-functional Collaboration
Partner with Product Management, Engineering, Data Science, Security, and Delivery teams.
Provide customer feedback to influence product roadmaps.
Document implementation best practices and reusable deployment assets.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5–12 years of software engineering, solutions engineering, or implementation experience.
Strong programming skills in one or more of:
Python
Java
Go
C#
JavaScript/TypeScript
Experience building enterprise-grade distributed applications.
Strong understanding of APIs, microservices, and cloud-native architectures.
Excellent communication and customer-facing consulting skills.
Technical Skills
Cloud Platforms
Microsoft Azure
AWS
Google Cloud Platform (GCP)
Programming
Python
Java
Go
JavaScript
TypeScript
SQL
AI & Machine Learning
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Agents
Prompt Engineering
Vector Databases
AI Model Deployment
Cloud & DevOps
Docker
Kubernetes
Terraform
GitHub Actions
Jenkins
CI/CD
Infrastructure as Code
Data Technologies
Spark
Kafka
Snowflake
Databricks
PostgreSQL
MongoDB
Redis
Integration
REST APIs
GraphQL
OAuth
Identity & Access Management
Event-Driven Architecture
Preferred Experience
Experience delivering solutions in one or more industries:
Banking & Financial Services
Healthcare & Life Sciences
Retail & Consumer Goods
Manufacturing
Telecommunications
High Tech
Success Metrics
Successful customer deployments
Time-to-production
Customer satisfaction (CSAT)
Deployment quality and reliability
Adoption of delivered solutions
Technical innovation and reusable assets
Resolution of critical customer issues
Contribution to product improvements
Preferred Qualifications
Experience with enterprise AI platforms and GenAI applications.
Hands-on experience with Kubernetes and container orchestration.
Experience integrating enterprise SaaS platforms (Salesforce, SAP, ServiceNow, Workday, etc.).
Cloud certifications (AWS, Azure, or Google Cloud) are preferred.
Familiarity with security, compliance, and enterprise architecture best practices.
Soft Skills
Strong analytical and problem-solving abilities
Excellent customer communication and presentation skills
Ability to thrive in ambiguous, fast-paced environments
Ownership mindset with a focus on execution
Collaborative and cross-functional leadership
Travel Requirements
Willingness to travel to customer locations across North America (20–50%), depending on project needs.

Work arrangement
Yes