artian

Software Engineer - Solutions

🇺🇸 New York, US, New York City, US On-site IT Mid Posted May 12, 2026
WorkplaceOn-site
SeniorityMid
CategoryIT
IT CategorySolutions / Architecture
LanguageEnglish
PostedMay 12, 2026
Last verifiedMay 16, 2026

Where this role is available

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2 locations
United States
  • New York, US
  • New York City, US

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Key details
2 locations, IT, Solutions / Architecture, On-site, Mid
Current openings
8 active jobs
Original language
English
Source and freshness
Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 16, 2026.
Apply path
JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.

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.

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