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Indicium AI

End-to-end data and AI consulting

Director Forward Deployed Software Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of software engineering experience, including at least 4 years in senior engineering leadership such as CTO, VP Engineering, Head of Engineering, or equivalent roles building and shaping teams.
  • A career of production software development, architecture decisions on complex systems, and building engineering cultures that deliver.
  • Passion for AI’s impact on software engineering, current use of AI-native development tools, and an informed perspective on the discipline’s direction.
  • A track record of building engineering teams from an early stage, including hiring, developing, and retaining engineers.
  • Experience driving engineering transformation through adopting new practices, retooling a software development life cycle, or scaling an engineering organization through a major capability change.
  • Experience with or within large engineering organizations and understanding of legacy systems, compliance, procurement, and coordination across multiple teams.
  • Ability to engage effectively with CTOs or VPs of Engineering and translate technical strategy into clear narratives for diverse audiences.
  • Experience building something from zero and working effectively amid ambiguity.

Responsibilities

  • Lead, hire, and develop a high-performing team of Forward Deployed Software Engineers, setting standards for engineering excellence, client instincts, and delivery quality.
  • Define and evolve Indicium AI’s approach to AI-native engineering transformation, including Claude Code adoption, agentic software development life cycle tooling, engineering operating models, team structures, and scalable best practices.
  • Own the technical and operational standards for software engineering engagements by reviewing statements of work, shaping engagement architecture, and ensuring the team delivers lasting capability change in client organizations.
  • Manage hands-on technical delivery in enterprise settings, shifting between engineering-strategy discussions with client CTOs and pairing with the team on client codebases.
  • Build playbooks, reference implementations, and repeatable patterns to scale transformation engagements.
  • Develop the team’s vertical fluency in Financial Services, Energy, and Healthcare, including sector-specific engineering constraints and compliance requirements.
  • Partner with Sales to shape pipeline, scope engagements, and identify expansion opportunities within existing accounts.
  • Work alongside Anthropic field teams on joint engagements and represent Indicium AI at a senior level.
  • Provide technical mentorship, conduct regular one-to-one meetings, and support each team member’s career growth.
  • Represent Indicium AI’s software engineering transformation practice externally through client relationships, partner engagement, and thought leadership.

Desired Qualifications

  • Former CTO or VP Engineering at a scaling technology company.
  • Experience in a client-facing engineering role such as forward deployed engineering, technical consulting, or engineering advisory.
  • Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or Model Context Protocol server development.
  • External presence through writing, speaking, or community contributions in software engineering or engineering leadership.
  • Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS at a senior level.
  • Experience with a forward-deployed engineering model at Palantir, Anthropic, DeepMind, or a similar organization.

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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