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Artian AI

Software Engineer - Solutions

New York, United States

Location
New York, United States
Work
On-site
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
$125K – $150K a year
Posted
5 months ago

Pay and the market here

The top of this role’s range, $150K a year, is 38% below the median of $242K for engineering jobs in New York (middle half $200K – $300K, 3,178 jobs that state pay).

3,709 engineering jobs open in New York: 12% remote, 695 posted in the last 30 days.

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About the role

About Artian

Artian AI is building agentic AI automation for financial services. Our platform enables reliable, autonomous AI agents to execute business-critical workflows across regulated enterprise environments.

We are an in-person team in New York, building at the intersection of AI, enterprise software, workflow automation, and financial services. We move with urgency, take ownership, communicate transparently, and care deeply about doing excellent work. We are looking for people who are grounded under pressure, learn quickly, earn trust with teammates and customers, and want to help define how AI agents are deployed safely and effectively in the enterprise.

About the Role

Artian AI is looking for a Software Engineer - Solutions to help turn customer workflows into production AI automation. You will work directly with enterprise customers, product teams, and engineering teams to understand operational problems, design technical solutions, build prototypes, and support successful deployments.

This role is ideal for an engineer who enjoys writing code, working with customers, solving ambiguous business problems, and operating at the intersection of product, engineering, and go-to-market.

What You’ll Do

  • Work with enterprise customers to understand workflows, data environments, integration needs, and success criteria.
  • Build prototypes, demos, internal tools, integrations, and implementation accelerators.
  • Partner with product and engineering to translate customer requirements into scalable platform capabilities.
  • Support deployment of Artian’s agentic AI platform in complex enterprise environments.
  • Debug technical issues across customer workflows, integrations, data pipelines, and platform behavior.
  • Create documentation, implementation playbooks, and repeatable patterns for customer deployments.
  • Serve as a technical bridge between customers, sales, product, and engineering.

What We’re Looking For

  • Strong software engineering skills, especially in Python.
  • Experience building integrations, APIs, scripts, backend services, demos, or customer-facing technical solutions.
  • Ability to understand customer workflows and translate business requirements into technical designs.
  • Strong communication skills and comfort working directly with technical and non-technical stakeholders.
  • Ability to operate in ambiguity, move quickly, and maintain high standards.
  • Interest in AI, automation, financial services, and enterprise software.

Nice to Have

  • BS in Computer Science, Engineering or a closely related engineering discipline, or equivalent industry experience.
  • Experience in solutions engineering, sales engineering, implementation engineering, technical consulting, or customer-facing engineering.
  • Experience with enterprise SaaS deployments, data integrations, workflow automation, or AI/ML products.
  • Experience in financial services, insurance, banking, risk, operations, or compliance workflows.
  • Experience building LLM-powered prototypes, agent workflows, or automation demos.

Why Join Artian

  • Work directly with customers on high-value enterprise AI deployments.
  • Build technical solutions that influence product direction and accelerate revenue.
  • Operate across engineering, product, and go-to-market in a high-ownership environment.
  • Help define what successful agentic AI deployment looks like in financial services.

Source

Posted by Artian AI on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:57 UTC; the original is the reference.

View the original ad ↗

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