Ind & Func AI Decision Science Consultant
About S&C Global Network - Data & AI: -
Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. We enable our clients to achieve high performance through insights from data - insights that inform better decisions and help grow their business in entirely new ways through the power of Artificial Intelligence. From strategy to execution, Accenture works with organizations to develop advanced analytic capabilities. This includes everything from accessing and reporting on data to building and deploying predictive models and implementing Generative AI solutions.
WHAT’S IN IT FOR YOU?
- As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues who are pioneers in leveraging cutting-edge AI technologies, including Generative AI. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
- Accenture is committed to nurturing your growth and development. You'll have access to training and mentorship from seasoned professionals, empowering you to expand your skill set and stay at the forefront of industry trends.
- In S&C GN - Data & AI you will understand the importance of sound analytical decision-making, how each task contributes to the overall project objectives, execute projects that contribute directly to business performance improvement and utilize Generative AI to unlock new possibilities.
What would you do in this role:
As a consultant, you will take ownership of building Agentic Commerce solutions powered by Generative AI and multi-agent systems, driving end-to-end solution development and client impact across commerce ecosystems.
- Design and implement Agentic AI systems, leveraging multi-agent frameworks and autonomous orchestration to deliver innovative client solutions.
- Design and implement Agentic AI systems, enabling intelligent decision-making workflows across customer engagement, personalization, merchandising, and digital platforms.
- Define and manage data, knowledge, and context pipelines to enable effective agent reasoning and action.
- Lead data preparation, integration, and validation, ensuring reliable and scalable inputs for agent workflows.
- Architect and manage orchestration pipelines that coordinate specialized agents (retrievers, planners, insight generators, visualization agents).
- Architect and implement orchestration pipelines coordinating specialized agents, predictive models, optimization components, retrieval systems, and decision APIs within production-ready commerce architectures.
- Build and operationalize retrieval-augmented generation systems grounded in structured commerce knowledge, business rules, product taxonomies, and policy constraints.
- Experiment with and optimize agentic approaches (multi-agent planning, tool orchestration, retrieval-augmented generation) for scalability and efficiency.
- Evaluate system performance rigorously, driving continuous improvements in accuracy, reliability, and automation.
- Collaborate with cross-functional teams and clients to integrate Agentic AI into consulting solutions, ensuring deployment readiness and business alignment.
- Leverage cloud platforms (AWS, Azure, GCP) for scalable deployment, monitoring, and lifecycle management of AI solutions.
- Apply Responsible AI principles, including structured tool access, context controls, logging, traceability, and performance monitoring to ensure secure and compliant autonomous workflows.
- Drive hands-on design and development of Agentic Commerce solutions, including agent workflows, tool integrations, and production-grade deployments.
- Stay on top of emerging technologies in autonomous agents, orchestration frameworks, and enterprise adoption; apply them in client contexts.
- Document methodologies, design patterns, and best practices, contributing to accelerators and knowledge-sharing assets.
- Create and deliver client-ready presentations, demos, and playbooks, effectively communicating AI’s business value.
- Mentor junior resources, guiding them on technical implementation and consulting practices.
Who we are looking for:
- Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or related disciplines with an excellent academic record.
- 4+ years of progressive experience in building scalable Agentic AI frameworks via front-end and backend integration
- Expert-level proficiency in Python and SQL; with hands-on experience implementing Generative AI and Agentic AI solutions integrating predictive modeling, optimization, and LLM-driven reasoning.
- Practical experience working with Agentic AI frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph) to build and deploy multi-agent or orchestration-based systems.
- Experience designing prompt flows, structured orchestration pipelines, multi-agent coordination, and schema-driven tool invocation (including familiarity with interoperability standards such as MCP).
- Experience integrating AI solutions with enterprise APIs and backend services to enable secure and scalable deployment within commercial systems.
- Hands-on experience with FastAPI, GCP/Azure/AWS, and Databricks (AI/BI Genie, LLM-as-a -judge, Mosaic AI Gateway) for modular development, scalable deployment, and large-scale modeling workflows.
- Experience working with vector databases, knowledge base integration, and in-memory state management systems (e.g., Redis) to support retrieval-augmented and context-aware agent workflows.
- Familiarity with reinforcement learning and adaptive decision frameworks
- Understanding of Responsible AI principles, including model monitoring, drift detection, bias awareness, explainability, and audit logging in production AI systems.
- Experience applying LLM evaluation metrics, structured testing frameworks, and agent observability practices to ensure solution reliability and performance.
- Working knowledge of cloud-native architectures, CI/CD practices, and containerized deployments supporting production AI applications.
- Outstanding communication and stakeholder management skills, with the ability to translate advanced AI concepts into actionable business outcomes.
- Ability to think critically, solve problems creatively, and structure Agentic AI solutions that are practical, scalable, and client ready.
Strong desire to learn, experiment, and stay ahead
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