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Recuritment and Developing

Forward Deployed Engineer

Posted: yesterday• Recruiter recently active
Job Location
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
DevOps
Orchestration
Data Pipelines
Enterprise Applications Integration
Infrastructure Automation
Containerization
APIs
CI/CD
Prompt Engineering
Vector Databases
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI Frameworks
AI Application Development
Cloud-Native Solutions
Data Warehouses Integration
Operational Systems Integration
Palantir Echo
Web Application Development Technologies
Data Lakes Integration
Palantir Certification

About the job

**IntelliSoft Technologies is a leading global information technology firm that specializes in Big Data & AI serving fortune 500 clients for past 21years. Company has been globally recognized for its comprehensive portfolio of services, innovation in technology and strong commitment to sustainability, governed by technocrats with industry experience.

At IntelliSoft, our professional development team helps your career by identifying the right opportunities and guide you to acquire latest technologies in this fast paced technology world. We believe in our employees and provide them excellent benefits.**

Role: Forward Deployed Engineer (Senior or Principal)

Location: Remote (requires up to 25% travel)

**W2 ROLE**

Top Must-Haves:

  • Senior or Principal level
  • Palantir certification
  • Palantir Echo
  • Deep full-stack proficiency: Python
  • Proven track record in building and deploying AI/ML applications in production at enterprise scale
  • 4+ years in customer facing or field roles
  • Data Engineering Skills

Required Qualifications

  • Professional certification on an enterprise AI, analytics, or data platform.
  • 6+ years of experience in software engineering, data engineering, machine learning, artificial intelligence, or related technical disciplines.
  • 4+ years working directly with customers in consulting, field engineering, solutions engineering, or similar client-facing roles.
  • Demonstrated success deploying production-grade AI/ML solutions within enterprise environments.
  • Strong Python development experience.
  • Experience with modern web application development technologies and APIs.
  • Hands-on experience with:
  • Large Language Models (LLMs)
  • Prompt engineering
  • Retrieval-augmented generation (RAG)
  • Vector databases
  • Data pipelines
  • Agentic AI frameworks
  • AI application development
  • Experience designing and deploying cloud-native solutions.
  • Strong DevOps and infrastructure automation experience including containerization, orchestration, and CI/CD.
  • Experience integrating enterprise applications, data warehouses, data lakes, and operational systems.
  • Ability to translate complex business requirements into scalable technical solutions.
  • Excellent communication and presentation skills with both technical and executive stakeholders.

Equal Employment Opportunity

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.