Senior Forward Deployed Engineer Data Platform

Indicium Tech; São Paulo; Presencial; BRL 300 000 - 420 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Birthday day off

Annual bonus

Wellhub (health & wellbeing)

Resumo da oferta

Indicium AI in Brazil is seeking a Senior Forward Deployed Engineer – Data Platform to design and implement AI-powered data solutions inside client environments. You will blend Google Cloud, data architecture, and LLMs to create scalable, production-ready analytics platforms and reference architectures.

The role emphasizes collaboration with client teams, governance alignment (LGPD), and delivering end-to-end PoCs, with a focus on cost controls, semantic search, and robust data models.

Qualificações

• Solid experience with Google Cloud Platform, BigQuery and Vertex AI.
• Proficiency in Python.
• Experience building integrations with Large Language Models (LLMs).
• Familiarity with production data architecture patterns.
• Strong autonomy for client-facing work.
• Fintech industry experience is a plus.

Responsabilidades

• Design and implement integration between Google Gemini and BigQuery with prompts, patterns, cost controls, and data sources.
• Model and optimize datasets for AI-powered self-service analytics, applying dimensional modeling and data access layers.
• Build PoCs and reference architectures for client adoption, including RAG pipelines and reusable templates.
• Collaborate with governance and security teams to meet LGPD, banking secrecy, and internal policies.
• Establish evaluation framework for LLMs, including evals and accuracy metrics.
• Provide technical mentoring and support to client teams through code reviews.

Conhecimentos

Google Cloud Platform

BigQuery

Vertex AI

Python

LLMs integration

RAG pipelines

Data governance

Client-facing communication

Ferramentas

Function calling

Semantic search

Notebook templates

Security governance

Descrição da oferta de emprego

About the Opportunity

Senior Forward Deployed Engineer – Data Platform is responsible for designing and implementing AI-powered data platform solutions directly within the client's environment. This role combines expertise in Google Cloud, data architecture, and Large Language Models (LLMs) to build scalable and production‑ready solutions that enable AI‑powered self‑service analytics.

Working closely with the client's technical teams, the engineer will define reference architectures, build reusable AI components, ensure compliance with governance and security requirements, and provide technical guidance throughout the implementation.

Key Responsibilities

• Design and implement the integration between Google Gemini and BigQuery, including consumption patterns, prompt engineering, function calling, semantic search over tables, query cost controls, and integration with additional data sources and contexts as required by the client.
• Model and optimize the datasets that will support AI‑powered self‑service analytics by applying dimensional modeling best practices (Kimball/Data Vault), defining data access layers, and identifying AI‑ready tables and views from both technical and performance perspectives.
• Build proof of concepts (PoCs) and reference architecture patterns to be adopted by the client's technical teams, including RAG pipelines over metadata, parameterized queries, reusable integrations, and notebook templates.
• Work closely with the client's governance and security teams to ensure solutions comply with LGPD, banking secrecy requirements, and internal security policies.
• Establish the evaluation framework for the solution, including LLM evals, hallucination tracking, and accuracy metrics to continuously monitor the quality of Gemini‑generated responses.
• Provide technical support to the Data Specialist and the client's technical teams through pair programming, code reviews, and technical mentoring.

Preferred Qualifications & Experience

• Solid experience with Google Cloud Platform, particularly BigQuery and Vertex AI.
• Strong proficiency in Python.
• Experience building integrations with Large Language Models (LLMs), including function calling, Retrieval‑Augmented Generation (RAG), and evaluation frameworks.
• Familiarity with production data architecture patterns.
• Strong technical autonomy and the ability to make decisions in client‑facing environments.
• Previous experience working in the fintech industry.

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

For Your Professional Development

• Structured career path.
• Feedback and growth culture (45/90‑day onboarding reviews and semi‑annual performance cycles).
• Mentorship Program for dedicated support during onboarding.
• Experienced and collaborative team.
• High‑impact projects.
• Agile methodologies and cross‑functional teams.
• Free weekly English conversation classes.
• Certification Program (full financial support and performance rewards).
• Tutoring opportunities at Indicium Academy.
• Internal initiatives such as "Tech Tracks" and "Databloggers."

For Your Health and Wellbeing

• In‑office snacks and beverages.
• Points and rewards program.
• Psychological support via "Programa Oxigênio" and Zenklub.
• Birthday day off.
• Weekly happy hours and game nights (both remote and in‑person).
• Wellhub (formerly Gympass).
• Flash Card (flexible benefits - total R$ 1,350.00).
• Annual bonus (performance‑based).
• Referral Program (R$ 250 per successful hire).
• Extended maternity leave (6 months).