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.