Artificial Intelligence

• Develop user-facing interfaces in TypeScript and React, along with backend services and APIs in Python or Node
• Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails
• Build retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, and vector and hybrid search
• Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP
• Write evaluation suites and regression tests for LLM-powered features, monitoring cost, latency, and quality in production
• Apply version control, code review, automated testing, CI/CD, and observability
• Deploy on GCP, Azure, or AWS and build and maintain data pipelines feeding AI systems
• Use Claude Code, Gemini CLI, Codex, or Cursor daily with verification and review
• Communicate progress, trade-offs, and blockers to clients and project leads
• Support pre-sales by scoping solutions, building demos, and estimating effort
• Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards

Senior AI and Agentic Engineer

• Audit manual workflows across accounting, purchasing, operations, customer service, marketing, catalog management, and reporting
• Identify, prioritize, build, and implement AI-powered automations
• Automate accounting workflows, beginning with credit card reconciliation
• Consolidate data from 7–8 sources into a reporting layer
• Automate invoice reconciliation between order management software and QuickBooks
• Own and improve an AI-powered customer-support ticketing agent
• Expand the support agent’s knowledge library and tune its auto-response success rate
• Clean and maintain a product catalog containing tens of thousands of SKUs
• Build tools or AI agents for product listing creation and catalog maintenance
• Connect sales history and inventory data to improve purchasing and reorder decisions
• Develop reporting on product sales velocity and inventory reorder timing
• Support non-technical team members with AI-powered solutions and enablement
• Use AI coding assistants such as Claude Code to build and ship internal tools
• Work directly with department leads to scope and prioritize automation projects
• Determine workflows, data sources, and prompts for each solution
• Own projects end to end, including audit, development, rollout, and adoption
• Work independently with minimal oversight
• Meet with every department during the first 30 days and deliver a prioritized automation roadmap to the founder

AI Workflow Specialist

• Run long-term client programs across Experience Intelligence and Operational Intelligence rather than point solutions
• Lead discovery across customer experience, marketing operations, forecasting, and inventory areas
• Benchmark business performance and identify opportunities before clients formally request them
• Build business cases covering expected business impact, delivery cost, and measurement approach
• Write precise specifications for specialist engineers and analysts
• Direct delivery across concurrent projects
• Drive adoption after systems launch
• Serve as primary point of contact for accounts and run them independently
• Lead executive client conversations and maintain client relationships
• Identify expansion opportunities and move engagements into additional business areas
• Own the relationship, discovery, business case, delivery direction, and resulting business outcome

AI Strategist

• Use ChatGPT, Claude, and other AI tools daily for research, content creation, creative development, analysis, and marketing operations
• Create and repurpose content for LinkedIn and other social media channels, including posts, graphics, carousels, and short-form content
• Create AI-generated images, videos, and other visual content using modern AI creative tools
• Develop and improve articles, case studies, newsletters, presentations, one-pagers, landing pages, and other marketing assets
• Implement GEO and AEO strategies to improve Azumo’s visibility in AI-powered search platforms such as ChatGPT, Claude, Gemini, and Perplexity
• Monitor how Azumo and its competitors appear across traditional and AI search, identify content gaps, and turn those insights into actionable content improvements
• Use AI and analytics tools to build recurring reports covering traffic, social media, campaigns, leads, conversions, AI search visibility, and other relevant marketing KPIs
• Identify opportunities to automate repetitive marketing tasks and improve existing workflows
• Help maintain and update Azumo’s website when needed
• Support other marketing initiatives in collaboration with the marketing, sales, and leadership teams

AI-Powered Marketing Specialist

• Validate task quality by checking instructions, source materials, reference solutions, and evaluation criteria for consistency and completeness.
• Review AI agent execution traces, tool calls, and deliverables to determine whether outcomes are justified.
• Audit grading logic to identify brittle checks, incorrect expected answers, unsupported rubric criteria, and unfair penalties for valid alternative solutions.
• Investigate discrepancies between model performance, grader results, and expected outcomes.
• Distinguish genuine model limitations from task defects, grader errors, and environment or tool failures.
• Independently assess automated QC findings rather than accepting them without verification.
• Document concise, evidence-backed findings and provide actionable, reproducible feedback.
• Flag uncertainty and verify that implemented revisions resolve previously identified issues.

Technical AI Evaluation Analyst – LATAM

• Design complex scientific workflows across computational life sciences that require multiple analytical and computational steps.
• Develop realistic scientific datasets, input files, instructions, constraints, and expected deliverables.
• Create tasks requiring AI agents to inspect data, select appropriate methods, execute analyses, and troubleshoot intermediate results.
• Implement reproducible expert solutions and objectively verifiable ground truths.
• Design robust automated or semi-automated grading criteria for scientific tasks.
• Validate scientific assumptions, calculations, code, intermediate outputs, and final results.
• Ensure task dependencies, data, and computational resources can be reliably packaged in controlled environments.
• Develop workflows using Python, command-line tools, scientific libraries, and relevant domain-specific software.
• Ensure tasks assess scientific reasoning and execution rather than memorization.
• Maintain high task quality and throughput while incorporating reviewer feedback.

Computational Biology, AI Specialist

• Present free AI diagnoses to CEOs or COOs as findings and convert credibility into paid Leadership Intensives
• Run the close with the account executive, owning the narrative and the ask
• Facilitate deep-dive sessions inside client systems and data to identify ranked AI opportunities
• Lead hands-on build sessions where executives create clickable first versions using their own data and AI tools
• Teach AI concepts, build-versus-buy-versus-hire considerations, and routine-versus-judgment distinctions
• Manage deliverables between sessions, including data exports and input from client leaders
• Deliver approximately 70% fixed, reusable Intensive content and 30% client-specific content
• Co-present 90-day technical roadmaps with senior engineers and close pod engagements
• Position client-managed pods, fully managed pods, on-call senior support, and credited Intensive fees correctly
• Handle objections regarding in-house hiring, nearshore talent, and implementation risk
• Provide weekly structured feedback to diagnosis systems, decks, playbooks, and close scripts
• Record sessions with consent, tag important moments, and support facilitator onboarding
• Help define hiring standards and train future facilitators
• Deliver two to three Intensive sessions, one or two diagnosis presentations, and one roadmap close in a typical week
• Run the full client-facing arc and meet conversion, session-quality, deal-durability, and machine-contribution targets

AI Enablement Facilitator

• Build a diligence data room for seller-uploaded incorporation documents, financials, and reports
• Build notifications identifying when a data room is complete or stalling
• Build a target-analysis tool for summarizing practice financial and business information
• Support a target-identification tool for finding practice owners to approach
• Connect meeting transcripts to the priority tracker as tentative tasks
• Implement human approval before tasks are added to the tracker
• Build a live brand rollout tracker for eight to ten specialty brands
• Track brand names, logos, colour systems, websites, signage, patient-facing collateral, ad creative, owners, statuses, and launch blockers
• Build a brand asset engine generating channel-specific advertising and design creative at volume
• Include human approval before publishing brand assets
• Build REST API integrations with OAuth2, pagination, rate limits, retries, and idempotency
• Work with the outsourced IT provider to obtain system access without disrupting the environment
• Develop with Microsoft 365, Graph API, SharePoint, Power Automate, Entra ID, and permission scopes
• Use Git and CI pipelines with tests before deployment
• Write, review, and debug production Python or TypeScript code
• Design and query SQL databases and reconcile disagreeing data sources
• Build React or equivalent front ends
• Deploy cloud applications, preferably on Azure
• Build production LLM workflows with structured outputs, tool calling, document retrieval, and prompt versioning
• Process PDFs and spreadsheets at volume, using OCR and extracting financial data
• Apply secrets management and least-privilege service accounts
• Later support cash-flow forecasting and intercompany reconciliation after the FP&A platform launches

AI Forward-Deployed Engineer

• Diseñar, desplegar y operar soluciones de ML e IA generativa en Google Cloud Vertex AI
• Implementar motores de recomendación, búsqueda semántica y clasificación automática de contenidos
• Desarrollar pipelines de metadatos y analítica sobre el catálogo de contenidos y usuarios
• Entrenar y poner en producción modelos de aprendizaje automático y LLMs
• Implementar prácticas de MLOps: versionado, monitoreo y reentrenamiento de modelos
• Colaborar con equipos de producto y datos para priorizar casos de uso de IA
• Documentar decisiones técnicas y transferir conocimiento al equipo interno
• Monitorear y optimizar costos de cómputo e inferencia en Vertex AI

Ingeniero/a de IA – Google Cloud Vertex AI, Part-Time

• Liderar la implementación del roadmap de transformación de IA definido por el Comité de Transformación.
• Traducir definiciones estratégicas en iniciativas ejecutables y planes de acción concretos.
• Gestionar el portafolio de iniciativas y asegurar su correcta ejecución.
• Colaborar junto a sponsors y champions en la identificación de oportunidades de crecimiento y transformación habilitadas por IA.
• Definir prioridades, dependencias, métricas de éxito y planes de implementación.
• Impulsar la adopción de IA en las distintas líneas de servicio.
• Reportar el avance del plan de transformación al Comité de Transformación e Innovación.
• Diseñar y evolucionar el portafolio de servicios relacionados con IA.
• Definir propuestas de valor y modelos de negocio.
• Priorizar oportunidades según impacto, factibilidad y rentabilidad.
• Coordinar el desarrollo de nuevas soluciones, activos y aceleradores.
• Actuar como Product Owner de iniciativas estratégicas.
• Construir y monitorear business cases asociados a las iniciativas.
• Gestionar indicadores financieros y métricas de negocio.
• Participar en modelos de monetización y estrategias de pricing.
• Contribuir al desarrollo y crecimiento del negocio vinculado a soluciones de IA.
• Coordinar equipos multidisciplinarios y gestionar stakeholders de distintos niveles.
• Facilitar la toma de decisiones y resolución de bloqueos.
• Asegurar el cumplimiento de hitos, plazos y objetivos.
• Impulsar una cultura de innovación, colaboración y orientación a resultados.
• Identificar tendencias y oportunidades de mercado relacionadas con IA.
• Colaborar con alianzas estratégicas y partners tecnológicos.
• Analizar movimientos competitivos y mejores prácticas de la industria.
• Contribuir al posicionamiento de EY en servicios y soluciones basadas en IA.

Artificial Intelligence jobs in Argentina