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Indicium AI

End-to-end data and AI consulting

Forward Deployed Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Track record of independently owning complex technical delivery and influencing executive stakeholders, including CTOs and VPs of Engineering.
  • Strong background shipping production systems in Python, TypeScript, or Java across modern cloud stacks such as AWS, Azure, or GCP.
  • Active daily use of tools such as Claude Code, Copilot, or agentic frameworks.
  • Ability to identify high-value enterprise problems, establish trusted client relationships, and help drive US market expansion.

Responsibilities

  • Audit enterprise workflows and design target architectures leveraging Anthropic models, Claude Code, custom Model Context Protocol servers, agentic tooling, and automated continuous integration and continuous delivery pipelines.
  • Embed alongside client teams and Anthropic technical teams to refactor codebases and roll out AI-augmented practices directly in live pipelines.
  • Serve as the trusted technical partner for US executive stakeholders, driving local market growth by using successful delivery to identify new high-value enterprise problems.
  • Codify patterns, tools, and best practices from US engagements to expand Indicium AI's global playbook and mentor client champion developers.

Desired Qualifications

  • Domain depth in Financial Services, Energy, or Healthcare; hands-on Model Context Protocol server development; or prior experience in DevEx or Forward Deployed Engineer roles.

About the Company

Indicium AI

End-to-end data and AI consulting

Indicium AI provides end-to-end data and AI consultancy for mid-size and large enterprises, helping organizations organize data, design data strategies, build data platforms, and enable AI adoption. They work by applying the Modern Data Stack (AWS, Databricks, Google Cloud, Snowflake) to deliver data solutions, and they use IndiMesh, a proprietary AI-enabled framework with pre-built templates and governance processes, plus AI Data Squads that combine human experts with AI agents for complex migrations. They differentiate themselves through scalable, service-based delivery using a repeatable framework rather than a single product, focused on standardizing and accelerating large-scale data and AI programs, and by expanding their operations in the United States. Their goal is to help enterprises improve data-driven decision-making and scale AI adoption across industries and geographies.

Company size
201-500
Company stage
Late Stage VC
Total funding
$40M
Headquarters
Palhoça, Brazil
Founded
2017

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