Senior AI Solutions Engineer — Enterprise LLM Orchestrator

Salt; United States; On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Remote work

Travel up to 20%

Performance bonus

Job summary

Salt is seeking a Senior Forward Deployed Engineer to bridge AI and enterprise realities. You will embed with client teams to architect, integrate, and launch LLM-powered agentic platforms, turning theory into scalable workflows.

Lead AI deployment, orchestration with AutoGen/CrewAI/LangGraph, and seamless integration with cloud or on‑prem ecosystems while applying strong client-facing communication.

Qualifications

• 8+ years of commercial software engineering experience.
• Proficiency in Python and modern AI frameworks.
• Experience deploying workloads with Kubernetes.
• Strong communication skills and client-facing delivery.

Responsibilities

• Architect and deploy multi-agent systems and RAG pipelines leveraging enterprise data.
• Orchestrate LLM workflows using AutoGen, CrewAI, LangGraph.
• Integrate AI platforms with cloud, APIs, and data platforms.
• Design deployment architectures across cloud, hybrid, or on‑premises; manage with Kubernetes.
• Collaborate with client stakeholders to translate business goals into technical roadmaps.

Skills

Python

AI frameworks

Kubernetes

Consultative mindset

Tools

AutoGen

CrewAI

LangGraph

Job description

Salt is seeking a Senior Forward Deployed Engineer to bridge AI and enterprise realities. You will embed with client teams to architect, integrate, and launch LLM-powered agentic platforms, turning theory into scalable workflows.

Lead AI deployment, orchestration with AutoGen/CrewAI/LangGraph, and seamless integration with cloud or on‑prem ecosystems while applying strong client-facing communication.