AI Enablement Analyst Mid-Level | Hybrid SP

Indicium AI

São Paulo

Hybrid

BRL 180.000 - 360.000

Vollzeit

vor 23 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Remote work and flexible hours
Annual bonus
Bradesco Health Insurance
Mentorship program
Indicium Academy tutoring

Zusammenfassung

Indicium AI is seeking a senior technical reference for AI adoption, combining deep hands-on AI skills with enablement and change management. The role centers on designing and validating AI solutions and driving real adoption across client teams.

You will train, coach, and support client teams, delivering practical guidance and hands-on assistance while maintaining technical credibility with stakeholders. Global offices support remote collaboration.

Qualifikationen

  • Strong programming experience (Python) and solid understanding of algorithms, data structures, and software architecture.
  • Proven hands-on experience with LLMs, harness engineering and RAG.
  • Experience with APIs, ETL/ELT processes, and cloud-based data platforms (AWS, GCP, Azure, Snowflake, Databricks).
  • Strong communication, facilitation, and presentation skills; comfortable teaching and engaging both technical and non-technical audiences.
  • Experience with change management practices and frameworks.
  • Strong stakeholder management skills, with the credibility to be seen as a technical reference by client teams.

Aufgaben

  • Design, develop, and validate AI solutions using LLMs, harness engineering, RAG, and fine-tuning techniques.
  • Design and deliver training materials, courses, and workshops on AI solutions.
  • Act as an embedded, hands-on reference for client teams, troubleshooting AI implementation challenges.
  • Lead change management efforts tied to AI adoption.
  • Collaborate with cross-functional teams to identify AI opportunities and translate into guidance.
  • Monitor adoption progress and gather feedback to iterate on solutions and enablement materials.
  • Document AI solutions, enablement programs, and best practices.
  • Build strong relationships with client stakeholders to drive engagement and adoption.

Kenntnisse

Python
LLMs
Harness engineering
RAG
APIs
ETL/ELT
Cloud platforms
Communication skills
Change management
Stakeholder management

Ausbildung

Bachelor’s degree in IT/CS/Engineering

Tools

TensorFlow
PyTorch
AWS
GCP
Azure
Databricks
Snowflake

Jobbeschreibung

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‑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 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‑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

Acts as a technical reference and Center of Excellence figure for AI adoption, combining deep hands‑on expertise in AI solutions (LLMs, harness engineering, RAG, agent development) with a strong enablement and change management role. This person is expected to have the technical depth to design and validate AI solutions and to be seen as a credible technical authority by client teams - while also translating that expertise into training, coaching, and hands‑on support that drives real adoption. In short: strong AI fundamentals paired with the soft skills and change management ability to embed AI into how client teams actually work.


Key Responsibilities



  • Design, develop, and validate AI solutions using LLMs, harness engineering, RAG, and fine‑tuning techniques, serving as a technical point of reference for client teams.

  • Design and deliver training materials, courses, and workshops that teach client teams to build, use, and reason about AI solutions - not just how to use them superficially.

  • Act as an embedded, hands‑on reference for client teams, troubleshooting real AI implementation challenges and guiding technical decisions during adoption.

  • Lead change management efforts tied to AI adoption, helping teams navigate new workflows, tools, and ways of working.

  • Collaborate with cross‑functional and technical teams to identify AI application opportunities and translate them into accessible guidance without diluting technical accuracy.

  • Monitor adoption progress and technical outcomes, gathering feedback to iterate on both solutions and enablement materials.

  • Document AI solutions, enablement programs, and best practices.

  • Build strong relationships with client stakeholders to drive engagement, credibility, and sustained AI adoption.


Preferred Qualifications & Experience


  • Strong programming experience (Python required) and solid understanding of algorithms, data structures, and software architecture.

  • Proven hands‑on experience with LLMs, harness engineering and RAG - able to build and debug real AI solutions, not just explain concepts.

  • Experience with APIs, ETL/ELT processes, and cloud‑based data platforms (AWS, GCP, Azure, Snowflake, Databricks).

  • Strong communication, facilitation, and presentation skills; comfortable teaching and engaging both technical and non‑technical audiences.

  • Experience with change management practices and frameworks.

  • Strong stakeholder management skills, with the credibility to be seen as a technical reference by client teams.


Nice to haves


  • Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.

  • Certification or training in change management methodologies (e.g., Prosci, ADKAR).

  • Experience with instructional design or curriculum development.

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • Contributions to open‑source projects or publications in the AI field.


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:

Our Culture


  • Modern, transparent, and inclusive management.

  • Dynamic environment, open to innovation and creativity.

  • Data‑driven culture.

  • Autonomy and engagement.

  • Light and relaxed atmosphere with a focus on challenges.

  • High‑growth environment (Fast‑paced scaling).

  • Remote work and flexible hours.


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


  • Global offices in Florianópolis, São Paulo, New York, Lisbon, and London.

  • 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).

  • Bradesco Health Insurance.

  • 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).


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‑side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.

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