AI Platform Engineer at Accenture

Buenos Aires, Buenos Aires, Argentina

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Consulting, Legal Tech, ProcurementIndustries

Requirements

Experiencia en análisis de procesos de negocio y diseño de soluciones SaaS
Configuración e integración de soluciones CLM o Contract Intelligence
Conocimientos de integración mediante API, flujos y arquitectura de datos
Experiencia en scripting (Python o Java, al menos 2 años)
Manejo de datos estructurados y no estructurados, migración y modelado de IA
Familiaridad con plataformas relacionadas (Salesforce, SAP Ariba, Coupa, etc.)
Capacidad de traducir requerimientos de negocio en configuraciones técnicas
Presentación de soluciones a clientes y liderazgo de workshops
Comunicación efectiva y manejo de stakeholders (legales, compras, TI, dirección)
Enfoque en procesos escalables y repetibles
Autonomía, orientación a resultados y capacidad de trabajar en entornos dinámicos
Comprensión de la gestión del ciclo de vida de los contratos
Conocimiento de documentación legal, cláusulas, obligaciones y riesgos
Configuración de workflows, reportes y dashboards
Capacidad de adaptar o entrenar modelos de IA para análisis documental
Formación universitaria en Sistemas, Ingeniería, Administración o Derecho (preferido)
Experiencia como product owner o business analyst
3 a 5 años de experiencia en consultoría tecnológica o implementación de software SaaS
2+ años en scripting o integración técnica
Conocimiento funcional del área legal, financiera o de procurement
Excelentes habilidades interpersonales y nivel de inglés avanzado
Experiencia en entornos internacionales o con equipos distribuidos

Responsibilities

Implementar la plataforma para los clientes
Personalizar la plataforma para los clientes
Integrar la plataforma para los clientes
Combinar conocimientos técnicos, comprensión de procesos de negocio y capacidad de comunicación con diferentes áreas (legal, compras, finanzas y TI)

Skills

Key technologies and capabilities for this role

SaaSCLMContract IntelligenceAPIPythonJavaData ModelingAISalesforceSAP AribaCoupaWorkflowsDashboards

Questions & Answers

Common questions about this position

What technical skills are required for this AI Platform Engineer role?

Required technical skills include experience in business process analysis and SaaS solution design, configuration and integration of CLM or Contract Intelligence solutions, API integration and data architecture knowledge, at least 2 years in scripting with Python or Java, handling structured and unstructured data with AI modeling, and familiarity with platforms like Salesforce, SAP Ariba, and Coupa.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at Accenture?

Accenture has a culture of shared success and commitment to creating 360° value, as a talent- and innovation-led company focused on technology, cloud, data, AI, and global delivery with strong ecosystem relationships.

What experience makes a strong candidate for this role?

Strong candidates have 3-5 years in tech consulting or SaaS implementation, 2+ years in scripting or technical integration, university degree in Systems, Engineering, Administration or Law, experience as product owner or business analyst, knowledge of legal/financial/procurement areas, advanced English, and excellent interpersonal skills with international team experience.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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