Forward Deployed Engineer
Tata Consultancy Services Limited
Edison, NJ, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Compensation
$75,000.0 - $88,000.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Software Applications
Microsoft Azure
Cloud Computing
Databases
Data Structures
Python (Programming Language)
Machine Learning
+16 more
Node.Js
Performance Tuning
Enterprise Software Applications
Retrieval-Augmented Generation
Large Language Models
Multi-Agent Systems
Generative AI
Agentic-AI
AI Platforms
Solid Principles
Kubernetes
Information Technology
Data Management
Machine Learning Operations
Data Pipelines
Golang
Job description
Join us as an Entry-Level Forward Deployed Engineer (FDE) and work alongside customer and engineering teams to build, deploy, and improve AI-powered applications in real-world enterprise environments.
In this role, you will help bring AI solutions from prototype to production while gaining hands-on experience with modern AI systems, cloud technologies, and enterprise integrations. You will collaborate with experienced engineers, contribute to impactful projects, and develop the skills needed to deliver enterprise-scale AI solutions.
What You’ll Do
- Collaborate with customer teams and internal stakeholders to understand requirements and deliver AI solutions.
- Support the development and deployment of AI-powered applications.
- Build integrations between AI services and enterprise systems, APIs, and data platforms.
- Assist with agentic AI workflows, multi-agent systems, and orchestration frameworks.
- Develop data pipelines and gain exposure to vector databases and Retrieval-Augmented Generation (RAG) architectures.
- Help create evaluation and observability frameworks to monitor AI system performance.
- Troubleshoot integration and reliability issues with guidance from senior engineers.
- Follow engineering best practices for coding, testing, and deployment.
Requirements
- Bachelor’s or master’s degree in computer science, Information Technology, Artificial Intelligence/Machine Learning, Data Science, or a related field.
- 0 to 3 years of professional experience.
- Strong foundation in Python development and AI/ML fundamentals, including Large Language Models (LLMs) and Generative AI.
- Understanding of APIs, databases, data structures, and software design principles.
- Experience using AI-assisted coding tools.
- Strong communication, collaboration, and problem-solving skills.
- Minimum GPA of 3.0 or above., * Experience with Java, Go, JavaScript/Node.js, or other full-stack technologies.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Exposure to vector databases, RAG pipelines, agentic AI systems, or multi-agent architectures.
What You’ll Gain
- Hands-on experience delivering enterprise-scale AI solutions.
- Exposure to real-world challenges involving scalability, integration, and data readiness.
- Experience building cloud-native AI applications.
- Knowledge of AI observability, evaluation frameworks, and performance optimization.
- A strong foundation for growth into a full Forward Deployed Engineer (FDE) role. xrbllit
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Prepare application
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