Senior Forward Deployed AI Engineer

Indicium AI; São Paulo; Hybrid; BRL 300,000 - 520,000; Full time

Benefits offered by this job

Structured career path

100% subsidized certifications

Weekly English classes

Technical mentorship program (sponsors

Participation in real Generative AI or

Job summary

Indicium AI in Brazil is seeking a Senior Forward Deployed Engineer to accelerate enterprise AI adoption at client sites. You will lead end-to-end workstreams, diagnose challenges, translate business needs into AI-powered solutions, and mentor engineers while delivering hands-on, production-ready code.

You will run workshops, map use cases to deployed solutions, and ensure security and LGPD compliance. This hybrid role requires 2 days on-site in São Paulo and collaboration with global teams.

Qualifications

• Proven experience in Python and production-grade software engineering.
• Hands-on experience with LLMs, prompt engineering, RAG and tool-using agents.
• Experience building skills, plugins, and MCP servers for Claude/Cowork.
• Able to run workshops for technical and business audiences.

Responsibilities

• Act as the technical point of contact at the client, diagnosing problems and translating needs into AI-powered solutions.
• Lead hands-on workshops and training sessions for technical and business teams.
• 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 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.
• 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).

Skills

Python

LLMs

prompt engineering

RAG

Tool calling agents

Claude Code

Cowork

Workshops

Consultative work

Communication

APIs integration

Cloud (AWS/Azure/GCP)

LGPD security

Hybrid in SP

Education

Degree in CS/Engineering

AI/Cloud certifications

Tools

Claude Code

Cowork

Job description

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.

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)
• Availability for a hybrid model, with 2 days per week on‑site in São Paulo/SP.

Nice to have

• 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 largest enterprises
• Use cutting‑edge AI tools and technologies every single day
• Collaborate with global teams on high‑impact, real‑world solutions
• Be backed by a supportive team that’s genuinely in your corner
• Benefit from serious investment in your learning and career growth
• Earn competitive compensation and benefits
• Enjoy company events and gatherings that bring the global team together
• Join a fast‑growing company where ambitious careers thrive

Selection Process Stages

• Interview with Talent Acquisition
• Interview with Technical Management
• Evidence Storage

As part of our commitment to Information Security and in compliance with the requirements of the ISO 27001 standard (item 7.2, clause d), we would like to inform you that in future stages of the selection process, you will be required to provide proof of the skills and qualifications mentioned in your resume (such as diplomas and certificates). This verification is mandatory and essential to ensure compliance with our governance standards prior to hiring.

Some of the benefits offered by Indicium:

Professional Development

• Structured career path
• 100% subsidized certifications
• Weekly English classes
• Technical mentorship program (sponsorship)
• Participation in real Generative AI projects
• Opportunity to serve as an instructor at Indicium Academy (extra compensation)

Environment and Culture

• Autonomy and a high level of trust
• Collaborative and technical environment
• Modern management and feedback structure