{"id":49248,"url":"https://alion.io/job/inetum-lead-ai-agents-generative-ai-architect","title":"Lead AI Agents & Generative AI Architect","company":{"id":3561,"name":"Inetum","domain":"inetum.com","url":"https://alion.io/company/inetum","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":81,"open_postings":536,"ghost_share":0,"stale_share":0.754,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bogotá, Colombia"],"countries":["CO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":68000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-10T15:02:01Z","employer_posted_date":"2026-08-10","last_verified_at":"2026-10-30T20:46:10Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":79},"description":"Inetum es una compañía global de servicios de tecnología e innovación digital, presente en más de 26 países. En Colombia, Inetum ofrece soluciones tecnológicas avanzadas que impulsan la transformación digital de empresas en diversos sectores, brindando servicios en consultoría, desarrollo de software, integración de sistemas, outsourcing y soporte técnico.\nCon un enfoque en la agilidad y adaptabilidad, Inetum Colombia busca crear valor para sus clientes mediante la implementación de tecnologías innovadoras que mejoren la eficiencia y productividad. Nuestro equipo está compuesto por expertos en diversas áreas tecnológicas que trabajan en un entorno colaborativo, dinámico y orientado a resultados. Únete a Inetum y sé parte de una compañía que está transformando el futuro de las empresas a través de la tecnología.\n Buscamos una persona profesional en Ingeniería de Sistemas, Ingeniería de Software, Informática, Ingeniería Eléctrica, Ingeniería Telemática o campos tecnológicos afines, con más de 4 años de experiencia en el diseño y la implementación de arquitecturas de aprendizaje automático (ML) e inteligencia artificial generativa (GenAI) a escala empresarial. Su experiencia será fundamental para impulsar nuestra oferta de GenAI y acelerar la adopción de la IA entre nuestros clientes.\nResponsabilidades principales: - Definir e implementar arquitecturas de aprendizaje automático (ML) y modelos de lenguaje grandes (LLM) escalables, resilientes y rentables - Establecer prácticas de MLOps y LLMOps, incluyendo el control de versiones, la supervisión y la optimización de costes - Diseñar soluciones de alta calidad utilizando técnicas de incrustación y RAG\nEstablecer marcos de evaluación y métricas de rendimiento (pruebas A/B, análisis de impacto). - Definir directrices de seguridad, privacidad y gobernanza de la IA. - Optimizar los flujos de datos y de aprendizaje automático para entornos por lotes y de streaming, e implementar modelos a través de API.\n Responsabilidades\nDiseñar arquitecturas escalables, seguras y costo-eficientes de GenAI, RAG y agentes de IA.\nDesarrollar prototipos, demos, aceleradores y pruebas de concepto.\nImplementar prácticas de MLOps, LLMOps y observabilidad.\nDefinir lineamientos de seguridad, privacidad, gobernanza e IA responsable.\nProductivizar soluciones mediante APIs, microservicios y arquitecturas cloud.\nParticipar en sesiones de descubrimiento, workshops y presentaciones con clientes.\nApoyar propuestas técnicas, estimaciones, RFP/RFI y construcción de casos de negocio.\nFortalecer el discurso técnico-comercial y comunicar claramente los beneficios de las soluciones.\nIdentificar oportunidades y diferenciadores frente a la competencia.\nRequisitos\nProfesional en Ingeniería de Sistemas, Software, Ciencias de la Computación o áreas afines a la tecnología.\nMás de 6 años de experiencia en arquitectura, desarrollo, datos, Machine Learning o IA.\nPython avanzado y experiencia con TensorFlow o PyTorch.\nExperiencia con LLMs, embeddings, RAG, agentes de IA y bases de datos vectoriales.\nManejo de LangChain, LangGraph, LlamaIndex, Semantic Kernel o herramientas similares.\nConocimientos de 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