Astir IT Solutions, Inc.

FDE ( Data Engineering) with Palantir EXP(Only W2)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Forward Deployed Engineer (Data Engineering) with Palantir experience, remote, offering a competitive pay rate. Requires 10+ years in software/data engineering, proficiency in Python, and experience with enterprise AI applications and cloud infrastructure.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
August 8, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Cloud #Data Warehouse #Kubernetes #SQL (Structured Query Language) #DevOps #Base #IP (Internet Protocol) #Data Lake #Strategy #Observability #VMware #React #ML (Machine Learning) #CRM (Customer Relationship Management) #Knowledge Graph #Data Engineering #Databases #Langchain #AI (Artificial Intelligence) #Python #Monitoring #Docker #Data Management #Scala #Palantir Foundry #OpenStack #Deployment #Consulting #NoSQL #"ETL (Extract #Transform #Load)" #Data Pipeline
Role description
Title: FDE ( Data Engineering) with Palantir EXP(Only w2) Location: Remote Job Summary : As a Sr. Forward Deployed Engineer (Sr. FDE) you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI solutions. This role combines deep technical engineering with business acumen, customer empathy, and end-to-end solution ownership. You become the technical bridge between AI platform capabilities and the customer’s most pressing business challenges. You will own the full solution lifecycle from problem discover y and rapid prototyping through production deployment and continuous optimization while feeding field insights back to our product and platform engineering teams. This role is ideal for someone who thrives at the intersection of engineering, strategy, and customer engagement and wants the autonomy and impact typically found at an AI startup, backed by the scale and resources of a global technology company. Key Responsibilities: β€’ Diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site. β€’ Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications. β€’ Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks. β€’ Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization. β€’ Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes). β€’ Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks. β€’ Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI). β€’ Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management. β€’ Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production. β€’ Identify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains. β€’ Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements. β€’ Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements. β€’ Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies. Required Qualifications: β€’ 10+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles. β€’ Proven track record in building and deploying AI/ML applications in production at enterprise scale. β€’ Deep full-stack proficiency : Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases. β€’ Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks. β€’ Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns. β€’ Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures. β€’ Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines. β€’ Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration. β€’ Experience with Palantir Foundry, AIP, ontology modeling , Uniphore BAIC, or similar Enterprise AI development platforms. β€’ Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks. β€’ Experience building agentic AI solutions: multi-agent systems, tool use, and autonomous workflow orchestration. β€’ Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware). β€’ Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles. β€’ Domain expertise in financial services, healthcare, supply chain, defense , energy, or manufacturing. β€’ Experience with knowledge graphs, semantic modeling , and ontology-driven data management. β€’ Palantir certification is an advantage If I missed your call ! Please drop me a mail. Thank you, Harish Talent Acquisition Astir IT Solutions, Inc - An E-Verified Company Email:harishj@astirit.com Direct : 7326946000 β€’ 788 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080 www.astirit.com