Client-Facing GenAI Architect & Leader

Grupo Myth

United States

On-site

USD 160,000 - 230,000

Full time

2 days ago
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Job summary

Grupo Myth seeks a highly technical Forward Deployed Engineer to design, build, and scale GenAI and Agentic AI solutions for Fortune 2000 clients. You will work with executive stakeholders, AI platform teams, and enterprise clients to rapidly create Proofs of Value and shape scalable AI architectures while accelerating adoption of next-generation capabilities.

Ideal candidates have 8+ years in software engineering, solution architecture, or AI consulting, with hands-on experience in modern AI

Qualifications

  • 8+ years of software engineering, solution architecture, AI engineering, or technical consulting.
  • Strong hands-on experience with modern AI stacks and enterprise AI platforms.
  • Experience with LLMs, Agentic AI, orchestration frameworks, RAG, vector databases, or evaluation frameworks.

Responsibilities

  • Lead executive discovery workshops and translate business challenges into AI-driven solutions.
  • Design and build rapid Proofs of Value (PoVs) using modern GenAI and Agentic AI frameworks.
  • Develop scalable architectures leveraging LLMs, orchestration, RAG, vector databases, APIs, and enterprise integrations.
  • Partner with clients and internal teams to define MVP roadmaps and production-ready AI solutions.
  • Support technical pre-sales activities including demos, workshops, architecture reviews, and solution positioning.
  • Create reusable AI accelerators, templates, and frameworks to drive scalability and repeatability.

Skills

Python
TypeScript
Java
Go
LLMs
Agentic AI
Orchestration
RAG
Vector databases
Cloud platforms

Tools

Salesforce
SAP
ServiceNow
Databricks
Snowflake
Microsoft stack

Job description

Grupo Myth seeks a highly technical Forward Deployed Engineer to design, build, and scale GenAI and Agentic AI solutions for Fortune 2000 clients. You will work with executive stakeholders, AI platform teams, and enterprise clients to rapidly create Proofs of Value and shape scalable AI architectures while accelerating adoption of next-generation capabilities.

Ideal candidates have 8+ years in software engineering, solution architecture, or AI consulting, with hands-on experience in modern AI

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