AI engineers no longer want to just talk about AI. They want to be able to make a difference - working at scale solving real problems and building global solutions inside complex, governed enterprise organizations.
At Indicium AI we deploy our engineers into the world's largest enterprises, across Financial Services, Energy, Healthcare, Manufacturing and Consumer Goods. The industries that impact all of our lives.
We became an Anthropic launch partner in October 2025, and our engineers work shoulder-to-shoulder with Anthropic's Applied AI, go-to-market, and regional teams, getting early access to new models, agent SDKs, and applied capabilities before they reach the broader market.
With 600+ AI-native experts and 50+ enterprise clients across Europe, the US, and LATAM, our teams have already delivered billions in cost savings and new AI-driven revenue for some of the most demanding organizations in the world.
If you are an AI engineer looking for autonomy, scale, and the opportunity to collaborate with a global team to solve problems that will make a real impact - keep reading.
"AI is going from an idea to a reality. We're seeing with many enterprise customers now that we're able to help them deliver AI solutions into production. The technology that we're using today wasn't available 18 months ago, and I think that's really exciting for us and the industry that we're in."
Steve Bryen, Chief AI Officer at Indicium AI
Building Production AI for the World's Leading Enterprises
Indicium AI works with organizations that have the scale, ambition, and investment to push AI beyond the pilot stage. Clients include London Stock Exchange Group (LSEG), Northern Trust, National Grid, EDF, Novo Nordisk, and PepsiCo. Each brings complex data environments and high expectations for what production-grade AI should deliver.
For LSEG, that work delivered 65% faster content curation review cycles and redirected 33% more researcher capacity toward higher-value analysis. More importantly, it produced a governed AI system embedded inside a business-critical workflow - where quality, auditability, and operational trust matter as much as speed. Read the full case study.
At Novo Nordisk, AI engineers used agentic AI to cut data migration time by 75% while maintaining the quality and governance standards required in a highly regulated environment. It is the kind of work increasingly defining enterprise AI today: applying AI to modernize critical systems, compress delivery timelines, and solve problems that directly affect how large organizations operate. Check the full case study.
Across these engagements, AI engineers work on problems that rarely appear in demos or tutorials: production observability, evaluation frameworks, agent governance, enterprise architecture, human-in-the-loop supervision, and the operational challenges that emerge when AI becomes part of day-to-day business execution.
Working with Partners to Stay at the Cutting Edge
Indicium AI's partnership network is one of the most tangible signals of where the company sits in the industry. The team works closely with Anthropic, AWS, Databricks, OpenAI, and Microsoft, building on the most advanced platforms available and staying close to where those platforms are heading.
We were among the first partners globally to earn Anthropic's Claude Certified Architect – Foundations certification, and now have 60+ Claude Certified Architects across the team, with early access to new Claude capabilities through Anthropic's Early Access Program.
Indicium AI runs Claude Code workshops in partnership with Anthropic for the world's largest enterprises. These hands-on sessions have attracted engineering and architecture leaders from the likes of Shell, Deutsche Bank, GSK, National Grid, Experian, Schroders, Citi, UBS and BNP Paribas, and the series now runs across London, New York, São Paulo, and Lisbon.
"We work with the latest and greatest technology, working closely with the applied AI and the go-to-market teams at Anthropic. The opportunities and the technology we're working on are really cutting edge."
Steve Bryen, Chief AI Officer at Indicium AI
Collaborating Across a Global Team
Indicium AI operates across London, New York, São Paulo, Florianópolis, and Lisbon, with shared frameworks and a consistent delivery standard applied across every region. The global footprint creates exposure to a wide range of industries, regulatory environments, and AI maturity levels, giving engineers opportunities to work closely with their colleagues to apply lessons learned in one market to entirely different business contexts.
An AI engineer in Brazil working on a financial services platform draws on the same institutional knowledge as a counterpart in New York or London. Problems encountered across FSI, energy, and commodities trading inform each other in ways that don't happen inside a single-market firm.
Our teams thrive on knowledge-sharing and we have regular opportunities for collaboration across our offices, whether that is in–person or online learning sessions.
Come Join Us
Indicium AI suits AI engineers who want to own their work, hold themselves to a high standard, and see what they build go into production at scale to make a difference to all of our lives. We’re hiring globally, including AI Engineers and Forward Deployed Engineers.
If you want to help define what production-grade AI looks like inside of the world's leading enterprises, explore our open roles across our five global offices.
