Forward Deployed Engineer

AMroute LLC; United States; Hybrid; USD 140,000 - 210,000; Full time

Job summary

AMroute LLC seeks a Forward Deployed Engineer to embed with enterprise clients, architecting and delivering high-impact AI solutions. You will own the full lifecycle from discovery to production, balancing technical rigor with business outcomes and customer empathy.

The role blends engineering with strategy, requiring hands-on AI, data pipelines, and multi-agent orchestration, all while engaging senior stakeholders and driving value in a dynamic AI startup environment.

Qualifications

• Must have Palantir Foundry/AIP experience or equivalent.
• 6+ years in software/data/AI delivery, with 4+ years customer-facing.
• Proven production AI deployment at enterprise scale.

Responsibilities

• Architect and deliver end-to-end AI solutions for clients on site.
• Prototype and deploy RAG pipelines, knowledge graphs, and multi-agent workflows.
• Lead technical ownership across scoping, design, build, and deployment.

Skills

Palantir certified

Enterprise AI

LLMs

DevOps

Kubernetes

Python

Communication

Tools

LangChain

LangGraph

CrewAI

Pinecone

Weaviate

AstraDB

OpenStack

VMware

NVIDIA GPUs

Job description

Location: Onsite: Remote - 25% Travel (Preferably in Texas but not a requirement)

Duration: 6–12 months, with potential for full-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 business acumen, customer empathy, and end-to-end solution ownership. You become the technical bridge between Client's AI platform capabilities and the customer's most pressing business challenges. You will own the full solution lifecycle from problem discovery 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.

Work Location/Travel:

• You may work 100% remotely.
• Travel up to 25% for on-site customer engagements.

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's 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 Qualifications:

• Must be Palantir certified.
• 6+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles.
• Proven track record in building and deploying AI/ML applications in production at enterprise scale.
• 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.