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.
The 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.
Key Responsibilities
Lead complex end-to-end data and AI projects at the client: diagnostics, architecture, implementation, delivery, and knowledge transfer;
Define the technical and architectural approach for data and AI solutions, considering business, technology, and operational constraints of the client;
Act as a senior technical consultant alongside client leadership — from technical ICs to C-level —, guiding strategic decisions, managing stakeholder conflicts, and building long-term relationships of trust;
Coordinate internal DE, AE, DS, and AI Engineering teams allocated to the project, ensuring alignment, quality, and on-time delivery;
Lead the integration of generative AI solutions (LLMs, RAG, agents) into client products and processes, with a focus on product vision and scalability;
Identify, structure, and present project expansion opportunities and new use cases to the client and the commercial team;
Apply Financial Services Industry (FSI) knowledge to anticipate regulatory constraints, governance standards, and specific operational sensitivities of the client, translating them into technical and architectural decisions suited to the environment;
Ensure governance, security, and compliance of data and AI solutions delivered within the client's environment;
Establish DataOps, MLOps, and data engineering processes, standards, and best practices within the client’s context;
Lead the technical management of the project at the client: define scope, milestones, success metrics, and ensure results are measurable and clearly communicated to all parties;
Lead the building of reusable accelerators, frameworks, and methodologies that scale the impact of the FDE practice across accounts; contribute technical feedback to Indicium's internal solutions and product roadmap;
Act as an internal reference for highly complex data and AI projects, supporting other teams when necessary.
Preferred Qualifications & Experience
Consolidated experience in data and AI projects, with a track record in at least two areas: Data Engineering, Analytics Engineering, Data Science, and/or AI Engineering;
Proven experience working directly with clients in a consultative or technical implementation context;
Advanced mastery of SQL, Python, and Modern Data Stack tools (dbt, Airflow, Spark, BI platforms, etc.);
Advanced experience with integrating LLMs into data solutions and products (OpenAI, Anthropic Claude, Google Gemini, etc.), including prompt engineering, RAG, and agent architectures;
Advanced experience with AWS cloud services and data infrastructure;
Experience in technical leadership of multidisciplinary teams;
Executive communication skills: ability to present complex technical solutions to C-level and business leadership;
Strategic business vision combined with technical depth;
Advanced/fluent English.
Nice to haves
Knowledge of the Financial Services Industry (FSI) — including regulatory dynamics, risk structures, compliance requirements, and operational standards of financial institutions — with the ability to apply it directly to the design and validation of data and AI solutions;
Experience in technology or data consulting firms;
Technical certification in a public cloud platform (AWS, Azure, GCP) at the Professional/Specialty level or equivalent;
Anthropic Claude Certified Architect — Foundations (CCA-F) certification or equivalent;
Experience with multi-agent architectures and large-scale production AI applications;
Experience with data and AI security and governance (LGPD, GDPR, prompt injection, guardrails);
Experience with Databricks, Snowflake, or enterprise data platforms;
Knowledge of project management methodologies (PMBOK, Scrum, etc.);
Postgraduate degree in Computer Science, Data Engineering, Artificial Intelligence, or related fields.
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
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.
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)
Data-driven culture
Autonomy and a high level of trust
Collaborative and technical environment
Modern management and feedback structure
Accelerated company growth
Employee referral program with bonuses
Budget for training and events
Flexible hours
Partial remote work