Senior Forward Deployed Engineer FSI

Indicium Tech; Brasil; Presencial; BRL 220 000 - 420 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional development

Weekly English classes

Mentorship program (sponsorship)

Generative AI projects experience

Instructor at Indicium Academy (extra)

Resumo da oferta

Indicium AI seeks a Senior Forward Deployed Engineer to lead complex data and AI projects from end to end, acting as a technical and advisory reference at the client. You will blend AI engineering depth with a consultative approach, working directly within client environments and guiding teams to deliver measurable business outcomes.

You will apply LLMs, RAG, agents, and MLOps across finance, compliance, risk, and operations, ensuring governance, quality, and value delivery while mentoring

Qualificações

• Experience leading complex data/AI projects end-to-end.
• Strong Python (Pandas, Scikit-learn) and SQL skills.
• Experience with financial services domain is a plus.

Responsabilidades

• Partner directly with business stakeholders to translate challenges into data-driven solutions.
• Design, develop, and deploy end-to-end ML/AI solutions including risk models and fraud detection.
• Modernize processes by identifying AI opportunities to improve efficiency, accuracy, and cost.
• Mentor client Data Scientists and Analysts through knowledge transfer and code reviews.

Conhecimentos

Data science

Machine learning

Python

SQL

English

Stakeholder management

Generative AI

Ferramentas

Vertex AI

BigQuery

AWS SageMaker

Descrição da oferta de emprego

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 Forward Deployed Engineer is the primary technical and advisory reference at the client. Responsible for leading highly complex data and AI projects from end to end, acting autonomously or coordinating internal and client teams. Possesses a strategic vision of the business problem, multidisciplinary technical depth, and the ability to influence high-level decisions. Serves as a technical ambassador for Indicium, ensuring the quality, value, and expansion of delivered projects.

Their role combines technical depth in AI Engineering — LLMs, RAG, agents, MLOps — with a consultative vision and the ability to operate directly within the client's environment. They seamlessly navigate all data disciplines, with generative and agentic AI serving as their primary vector for value delivery.

Key Responsibilities

• Partner directly with business stakeholders across Risk, Credit, Fraud, Legal, Compliance, and Operations to understand business challenges and translate them into data-driven solutions.
• Design, develop, and deploy end-to-end Machine Learning and AI solutions, including credit risk models, fraud detection systems, legal document classification, prioritization models, and GenAI-powered workflows.
• Modernize client processes by identifying opportunities where AI and ML can automate or enhance existing operations, delivering measurable improvements in efficiency, accuracy, cost reduction, and decision‑making.
• Mentor and enable client Data Scientists and Analysts through pair modeling, code reviews, technical workshops, and knowledge transfer, ensuring long‑term self‑sufficiency.
• Collaborate closely with Risk, Compliance, and Model Governance teams to ensure solutions comply with financial regulations and internal model validation standards.
• Establish and promote MLOps and Model Governance best practices, including version control, production monitoring, model retraining, documentation, model cards, and continuous evaluation.
• Serve as a trusted technical advisor, balancing business objectives with sound statistical methodology and AI engineering practices.

Preferred Qualifications & Experience

• Data Science & Machine Learning: Strong background in statistical modeling, supervised machine learning (regression, classification, time series), and ideally financial risk modeling techniques such as PD, LGD, EAD, credit scorecards, or fraud detection.
• Financial Services Domain: Experience working within banks, fintechs, or insurance companies, with solid understanding of financial products, credit, risk, compliance, fraud, and regulatory environments.
• Programming & Data Engineering: Advanced proficiency in Python (Pandas, Scikit‑learn, Statsmodels) and SQL for working with production‑scale datasets.
• Generative AI: Practical experience applying LLMs, Retrieval‑Augmented Generation (RAG), AI Agents, fine‑tuning strategies, and evaluation methodologies to solve real business problems.
• Consulting & Stakeholder Management: Proven ability to work directly with business stakeholders, gather requirements, communicate technical concepts in business language, and influence decision‑making.
• Advanced English
• Previous experience in a fintech, bank, or insurance company.

Nice to have

• Previous experience in consulting or Forward Deployed Engineering/client‑embedded delivery models.
• Experience with specialized Financial Services domains such as Model Risk Management, Credit Risk, Fraud Analytics, or LegalTech.
• Hands‑on experience with Google Cloud Platform (Vertex AI, BigQuery) or AWS SageMaker.
• Contributions to the Data Science or AI community through publications, conference talks, open‑source projects, or technical content.
• Strong technical reading skills for academic papers and AI/ML documentation.

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

Technical Challenge

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

Accelerated company growth

Other Benefits

Employee referral program with bonuses

Budget for training and events

Flexible hours

About the company

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 proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side‑by‑side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.