Pay not posted
Solutions Architect- North America
Posted by Lyzr · open on Teamtailor as of
Pay not postedUSRemote
Designs and delivers production-grade AI agent workflows and end-to-end architectures as part of Lyzr’s Applied AI Professional Services team.
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At a glance
Posted base pay
Not posted
Median $190K
Senior FDE postings1,864 postings · middle 50% of posted pay$160K–$220KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept
- Implementation
- Operations (not covered)
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Senior
- Role
- Technical lead
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More like this
$124,000–$271,200
Pay not posted
The job description from Lyzr
Posted by Lyzr on
About Lyzr
Lyzr is a Series A–backed enterprise AI company building a full-stack agent infrastructure platform that helps organizations design, deploy, and govern AI agents. Our platform enables enterprises to move beyond isolated AI use cases and into reliable, production-grade agentic workflows with strong controls around security, accuracy, and compliance.
Recognized by Accenture and Harvard Business School–led innovation ecosystems, Lyzr works with global enterprises to reimagine complex workflows using agentic AI. We focus on making AI agents dependable at scale - so teams can replace fragmented tool stacks with a unified, governed intelligence layer.
About The Job
We are looking for an experienced AI Solutions Architect to join our Applied AI Professional Services team.
This role sits at the intersection of AI, architecture, and client strategy. You will be responsible for designing intelligent agent workflows, guiding model strategy, and leading the implementation of production-grade AI systems.
You won’t just design solutions—you will define what should be built, how it should work, and how it delivers real business impact.
What You’ll Do
Architect & Design: Define and design AI agent workflows, multi-agent systems, and end-to-end solution architectures.
Model Strategy: Select, integrate, and optimize LLMs, RAG pipelines, and ML models for production use.
Data Intelligence: Structure, enrich, and process data (structured/unstructured) to improve model performance and outcomes.
Build & Deliver: Lead prototyping and implementation of scalable, production-grade AI solutions.
Client Collaboration: Work closely with stakeholders to translate business problems into effective AI-driven systems.
Location: North America
Why Lyzr?
Impact: Build on the infrastructure backed by Accenture and used by the world’s leading financial and healthcare institutions.
Speed: We operate in a high-velocity environment where we release improvements every two weeks.
Ownership: You’ll have the autonomy to own your projects from diagnosis to production.
About Lyzr
Full-stack agent infrastructure platform that lets enterprises design, deploy, and govern production-grade AI agents under security/compliance controls.
Series A
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