Forward Deployed Engineer

Talentify; San Antonio (TX); Hybrid; USD 110,000 - 124,000; Part time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

401k Retirement Fund

Job summary

Talentify seeks a Forward Deployed Engineer to embed with strategic enterprise customers, architecting, building, and deploying high-impact AI solutions. You will bridge client AI capabilities with business needs, owning end-to-end solution delivery from discovery to production and optimization.

Role combines engineering depth with customer engagement, offering autonomy and impact typical of an AI startup, backed by a global tech company. Onsite with remote flexibility in San Antonio, TX.

Qualifications

• Must have Palantir certification and enterprise AI delivery experience.
• Hands-on with LLMs, vector databases, data pipelines, RAG and agent orchestration.

Responsibilities

• Diagnose business challenges, map data landscapes, and co-design AI solutions on-site.
• Lead end-to-end design and delivery of agentic AI workflows and RAG pipelines.
• Drive rapid prototyping and POC development to demonstrate business value quickly.
• Own the full lifecycle: scoping, architecture, build, deployment, and post-launch optimization.
• Architect production-grade Enterprise AI apps on Foundry Solutions or Private Cloud and integrate with ERP/CRM.
• Build scalable data pipelines across structured/unstructured data with ETL/ELT and vector databases.
• Develop and fine-tune LLM/SLM; implement RAG architectures and multi-agent orchestration.

Skills

Palantir certified

Enterprise AI delivery

Full-stack Python/JS

LLMs & RAG pipelines

Agent orchestration

Strong communication

Industry domains

Consulting background

Tools

Palantir Foundry

Docker

Kubernetes

CI/CD

NVIDIA GPUs

OpenStack

VMware

Job description

Forward Deployed Engineer

Location: San Antonio, TX

Onsite Flexibility: Remote

Contract Details

• Position Type: Contract
• Contract Duration: 12 months
• Pay Rate: $80.00–$90.00 / Hour (USD)
• Travel Requirements: Up to 25% for on-site customer engagements
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

As a Forward Deployed Engineer (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 acumen, customer empathy, and end-to-end solution ownership. You become a technical bridge between the client's AI platform capabilities and the customer's pressing business challenges. You will own the full solution lifecycle from discovery and rapid prototyping through production deployment and continuous optimization while feeding field insights back to our product and platform 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

• Diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site.
• Lead end-to‑end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real‑time decision‑making applications.
• Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks.
• Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post‑launch optimization.
• Architect production‑grade Enterprise AI applications on Partner Foundry Solutions or Client Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes).
• Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks.
• Develop and fine‑tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi‑agent workflows (LangChain, LangGraph, CrewAI).
• Ship with full‑stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management.
• Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production.
• Identify expansion opportunities by working with sales and customer success to uncover high‑value use cases across new business domains.
• Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements.
• Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements.
• Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.

Required Skills

• Must be Palantir certified.
• Proven track record in building and deploying AI/ML applications in production at enterprise scale.
• Deep full‑stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases.
• Hands‑on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.
• Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud‑native deployment patterns.
• Experience integrating across heterogeneous enterprise systems — ERP, data warehouses, data lakes, streaming architectures.
• Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines.
• Excellent communication skills — comfortable with C‑suite presentations, technical workshops, and cross‑functional collaboration.
• Experience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar Enterprise AI development platforms.
• Knowledge of SLM fine‑tuning, model distillation, RLHF, and AI evaluation frameworks.
• Experience building agentic AI solutions: multi‑agent systems, tool use, and autonomous workflow orchestration.
• Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware).
• Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles.
• Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.
• Experience with knowledge graphs, semantic modeling, and ontology‑driven data management.

Required Experience

• 6 years in software engineering, data engineering, or AI/ML delivery; at least 4 years in customer‑facing or field roles.

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

About the Client

This client is a multi‑cloud technology company delivering tailored application, data, and security solutions to enterprise customers across the U.S. and globally. The organization supports complex digital transformation initiatives at scale, employing software engineers, data engineers, cloud architects, AI/ML specialists, and security professionals who design and implement mission‑critical solutions across diverse industry verticals.

About GTT

GTT is a minority‑owned staffing firm and a subsidiary of Chenega Corporation, a Native American‑owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-11764 Industry: Engineering

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