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Accenture

Advises businesses and runs their technology

Digital Commerce and Agentic AI Consulting Manager

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeHeredia Province, Belén, Costa RicaNo salary listedHybrid

About the Job

Requirements

  • Bachelor’s or master’s degree in computer science, statistics, business administration, or a related field.
  • Experience orchestrating Agentic AI, including integrating predictive modeling, optimization, and LLM-driven reasoning within production systems.
  • Hands-on proficiency with Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or LangGraph.
  • Experience integrating AI systems with enterprise API gateways.
  • Expertise in prompt design, structured orchestration, multi-agent frameworks, and standardized tool invocation protocols, including schema-driven function execution and interoperability standards such as MCP.
  • Practical experience with FastAPI, GCP, Azure, AWS, and Databricks, including AI/BI Genie, LLM-as-a-judge, and Mosaic AI Gateway, for scalable deployment, modularization, and large-scale modeling workflows.
  • Hands-on experience with LLM evaluation metrics, agent performance monitoring, and observability standards.
  • Experience with cloud-native architectures, microservices-based backend systems, CI/CD pipelines, and Kubernetes-based deployments for production-grade AI systems.
  • Progressive experience in large-scale decision engine deployments, including significant consulting or enterprise experience deploying scalable Agentic AI frameworks, with exposure to digital commerce, merchandising, customer analytics, or revenue growth management.
  • Experience gathering and documenting requirements, with an understanding of PIM concepts, product data structures, and content lifecycles.
  • Understanding of governance, risk controls, bias monitoring, drift detection, explainability, and compliance frameworks for enterprise AI deployments.
  • English proficiency at C1 level or above, with strong written and spoken communication skills.
  • Experience managing consulting projects, including solution architecture, resource planning, delivery governance, and risk management.

Responsibilities

  • Lead the design, implementation, and adoption of Agentic AI and Generative AI solutions within agentic commerce ecosystems to deliver business transformation.
  • Define and drive enterprise-level data, context, and orchestration strategies for scalable Agentic AI systems.
  • Oversee data integration, governance, and quality initiatives, ensuring reliable inputs for autonomous workflows and embedding modularity, observability, auditability, resilience, and explainability in enterprise commerce architectures.
  • Establish unified commerce data foundations by overseeing data integration, governance, semantic modeling, and quality frameworks across customer, product, transaction, behavioral, and operational datasets.
  • Analyze current-state product data flows to identify gaps, inefficiencies, and improvement opportunities, and guide product data attribute definition, field mapping, and taxonomy documentation.
  • Architect and lead the development of multi-agent solutions coordinating predictive models, optimization engines, and LLM-driven reasoning for commercial workflows and dynamic decision processes.
  • Integrate agentic systems into operating environments, enabling real-time inference, decision APIs, and event-driven architectures for digital platforms, campaign engines, personalization systems, and commerce operations.
  • Establish governance models across trust, accuracy, automation, and decision-making, aligned with client goals.
  • Engage executives and cross-functional stakeholders to position Agentic Commerce as an enabler of innovation and operating model transformation.
  • Create executive-level presentations, demonstrations, and roadmaps communicating opportunity sizing, implementation pathways, governance considerations, and measurable ROI outcomes.
  • Use FastAPI, GCP, AWS, Azure, and Databricks for end-to-end solutioning.
  • Shape internal accelerators, methodologies, and playbooks to scale Agentic Commerce capabilities across client engagements and industry sectors.
  • Lead end-to-end delivery of Agentic Commerce projects, ensuring robust agent orchestration, secure data and tool integration, governance-controlled deployment, and measurable commercial impact.

Desired Qualifications

  • Experience using product information management platforms such as Salsify, Akeneo, Syndigo, inRiver, or Informatica P360.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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