Level

PwC

Senior - Ingenieria de IA

PwC is hiring a Senior - Ingenieria de IA for a remote role open to applicants in Argentina. Level rates it ; you can apply on Level.

AI in this role

Design, build, and deploy autonomous AI systems, multi-agent architectures, and LLM-based solutions at PwC.

langchainlanggraphpython
ragai-agentsai-engineeringmulti-agent-systemsllms

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

Somos PwC Argentina, firma líder en el mercado de servicios de Auditoría, Consultoría, Asesoramiento Impositivo, Legal y Outsourcing. Contamos con 7 oficinas distribuidas en Buenos Aires, Córdoba, Mendoza y Rosario donde atendemos las necesidades de nuestros clientes locales y, a través de nuestro Acceleration Center, exportamos conocimientos a la red global de PwC principalmente a Estados Unidos y Europa.

Como IA Engineering del equipo deberás:

  • Diseñar, construir e implementar sistemas de IA autónomos para automatizar procesos complejos de negocio.
  • Desarrollar agentes inteligentes capaces de ejecutar validaciones y reglas de negocio de forma autónoma.
  • Diseñar arquitecturas multiagente para la toma de decisiones basada en reglas y contexto.
  • Crear mecanismos de clasificación automática, enriquecimiento y procesamiento de información.
  • Implementar soluciones de Intake & Triage Inteligente para el enrutamiento automatizado de solicitudes.
  • Integrar soluciones de IA con sistemas empresariales y flujos de trabajo existentes.
  • Incorporar prácticas de Compliance-by-Design, garantizando trazabilidad y auditabilidad.
  • Colaborar con equipos multidisciplinarios para mejorar la eficiencia y escalabilidad de las soluciones.

Requisitos y conocimientos técnicos:

  • 2 años de experiencia en ingeniería de software y al menos 2 años trabajando en AI/ML, aplicaciones basadas en LLMs o sistemas agénticos.
  • Experiencia construyendo y desplegando AI Agents con capacidad de razonamiento multi-paso, tool-calling y toma de decisiones autónoma.
  • Dominio de Python.
  • Experiencia con LangChain, LangGraph y entornos HITL (Human-in-the-Loop).
  • Conocimientos en arquitecturas RAG (Retrieval-Augmented Generation).

Formación y experiencia:

  • Graduado o estudiante avanzado de Ingeniería en Sistemas, Informática o carreras afines.
  • Nivel de inglés avanzado.

Horario: Full time

Modalidad de trabajo: Híbrido

Todas las personas calificadas serán consideradas para trabajar en PwC sin importar etnia; credo; color; religión; nacionalidad; edad; discapacidad; neurodiversidad; orientación sexual; identidad o expresión de género; estado civil, o cualquier otra condición protegida por la ley. PwC se enorgullece de ser una organización inclusiva y brindar igualdad de oportunidades.

  • Comprender la importancia de la correcta gestión de la información.
  • Conocimiento en seguridad de la información y protección de datos.
  • Correcta gestión de la seguridad de la información.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Geopolitical Forecasting, Geopolitical Risk Analysis, Global Macro, Inclusion {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

How we rate this

Senior - Ingenieria de IA at PwC rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI EngineeringMulti Agent SystemsLLMsLangChainLangGraphPython

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a project where ai engineering was part of your work. What did you do?
  4. Tell me about a project where multi agent systems was part of your work. What did you do?
  5. Tell me about a project where llms was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, AI Engineering, Multi Agent Systems, and LLMs. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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