Capgemini
Forward Deployed Engineer (FDE)
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
$150,000 – $350,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
4 September 2026
What they need
Job Title: Forward Deployed Engineer (FDE)
Location: NYC, NY (Hybrid)
Employment Type: Full-Time
Role Overview
We are seeking a highly motivated Forward Deployed Engineer (FDE) to work directly with clients, understand complex business challenges, and build scalable technology solutions. The ideal candidate combines strong software engineering skills, data expertise, and client-facing consulting experience to bridge the gap between business needs and technical implementation.
As an FDE, you will partner closely with stakeholders, product teams, and engineering teams to deploy, customize, and optimize solutions in real-world environments.
Key Responsibilities
- Work directly with customers to understand business processes, challenges, and technical requirements.
- Design, build, and deploy custom software solutions aligned with client objectives.
- Develop data integrations, APIs, and automation workflows.
- Translate business requirements into scalable technical architectures.
- Configure, customize, and implement cloud-based applications and platforms.
- Build dashboards, analytics solutions, and data pipelines to support business decisions.
- Troubleshoot production issues and provide technical guidance to customers.
- Collaborate with Product, Engineering, Data Science, and Customer Success teams.
- Lead technical workshops, solution demonstrations, and architecture discussions.
- Drive successful solution adoption and ensure customer success.
Required Skills
Technical Skills
- Strong programming experience in Python, Java, Go, JavaScript, or C++ .
- Experience developing APIs and microservices.
- Strong SQL and database expertise.
- Experience with cloud platforms:
- AWS
- Azure
- Google Cloud Platform (GCP)
- Knowledge of Docker and Kubernetes.
- Familiarity with data engineering concepts and ETL processes.
- Experience integrating enterprise applications and third-party systems.
- Strong understanding of software development lifecycle (SDLC).
Data & Analytics
- SQL
- Data Modeling
- Data Pipelines
- REST APIs
- Data Visualization Tools (Power BI, Tableau, Looker)
- Big Data technologies preferred
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 10+ years of software engineering, solutions engineering, or consulting experience.
- Experience working directly with customers or business stakeholders.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication skills.
Preferred Qualifications
- Experience in client-facing consulting or solution architecture roles.
- Background in Financial Services, Healthcare, Insurance, Retail, or Technology domains.
- Exposure to AI/ML or Generative AI solutions.
- Experience with enterprise platforms and large-scale deployments.
- Cloud certifications (AWS, Azure, GCP) preferred.
Nice to Have
- GenAI, LLM, and AI Agent implementation experience.
- Experience with Databricks, Snowflake, or Palantir Foundry.
- Knowledge of MLOps and AI deployment frameworks.
- Experience with system integration projects.
- Presales or customer success experience.
Key Competencies
- Customer Engagement
- Solution Design
- Software Engineering
- Data Analysis
- Technical Consulting
- Stakeholder Management
- Problem Solving
- Communication & Presentation Skills
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