Senior Forward Deployed AI Engineer

About Indicium AI

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global, AI-native consultancy with deep expertise across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing - guiding organizations from strategy through build to measurable business outcomes. With 600+ AI experts, 50+ enterprise clients, and five global locations, we work side-by-side with the world's leading AI partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed, clarity, and lasting impact.

As a global company, we offer career opportunities across Europe and the Americas and are looking for talent eager to grow globally with our team. Please indicate in your application if you are available to work abroad and if you hold a European passport.

About the Opportunity

The Senior FDE (Forward Deployed Engineer) will work side by side with the client to accelerate enterprise AI adoption. They technically lead an end-to-end workstream with minimal supervision. In short cycles, they will set up Claude for enterprise use and build the skills, plugins, and MCP servers that connect AI to the business areas’ systems and routines.

This is a hands-on, consultative position. The person writes, reviews, and ships code while also serving as the client’s technical point of contact. They diagnose problems together with the business areas, translate business needs into solutions, explain trade-offs to non-engineers, and run hands-on workshops that get people using AI in their day-to-day work.

Key Responsibilities

• Act as the technical point of contact at the client, diagnosing problems with the business areas and translating needs into AI-powered solutions.
• Run hands-on workshops and training sessions with technical and business teams, accelerating adoption of Claude, Claude Code, and Cowork.
• Map use cases with the business areas, prioritize them by impact, and turn the best ones into deployed solutions.
• Build skills, plugins, and MCPs for the prioritized use cases, together with the Platform Engineer.
• Define the technical approach for the workstream, coordinate delivery with the team, and flag risks early to project management and the client.
• Ensure the quality and security of deliverables: testing, evals, documentation, and data protection in compliance with LGPD (Brazil’s data protection law).
• Present results, recommendations, and trade-offs to the client’s technical and business leadership.
• Transfer knowledge so the client can grow autonomously, mentor the project’s engineers, and return reusable assets to Indicium (skills, plugins, workshop materials).

Preferred Qualifications & Experience

• Solid experience in Python and software engineering, with hands-on production practice
• Experience with LLMs, prompt and context engineering, RAG, and agents with tool calling
• Hands-on experience with Claude Code and Cowork, including building skills, plugins, and MCP servers
• Experience running hands-on workshops and training sessions for technical and business audiences
• Consultative work with clients, with the autonomy to diagnose problems, lead conversations, and propose solutions
• Clear oral and written communication, explaining technical concepts and trade-offs to non-engineers and leadership
• Experience integrating APIs and enterprise systems in the cloud (AWS, Azure, or GCP)
• Knowledge of security and privacy in AI systems (guardrails, access control, LGPD)
• Intermediate English
• Availability for a hybrid model, with 2 days per week on-site in São Paulo/SP.

Nice to haves

• Experience configuring enterprise AI platforms, such as Claude Enterprise (SSO, SCIM, governance)
• Experience with Databricks, ServiceNow, Workday, or other enterprise systems
• Experience with AI adoption programs, enablement, or change management in large companies
• Consulting experience, technically leading workstreams at enterprise clients
• Experience with evals and observability for LLM-based systems
• Background in Retail / Consumer Packaged Goods (CPG)
• Degree in Computer Science, Engineering, or related fields, and AI or cloud certifications (Anthropic, AWS, Azure, Databricks)

Why Indicium AI

• Work on AI projects that actually transform the world's large