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Here's what you need • Minimum of 3 years of experience in technology transformation, with a focus on CCaaS or cloud-based contact center solutions. • Minimum of 3 years of experience with CCaaS technologies and industry best practices, including CCaaS strategy, migration and implementation on a variety of platforms such as, AWS, Google, Genesys, Avaya, NICE etc. • Minimum of 3 years of experience in aligning technology capabilities with contact center benchmarks, quality metrics, agent scorecard etc.

You Are An AI Native Engineer with strong experience building GenAI solutions and deep expertise in productionizing AI applications on the Databricks Intelligence Platform.

You Are As a Forward Deployed Engineer, you will be responsible for helping our clients solve their most pressing challenges, from the battlefield to supply chains, benefits programs, and broader government operations.

You Are As a Forward Deployed Engineer, you will be responsible for helping our clients solve their most pressing challenges, from the battlefield to supply chains, benefits programs, and broader government operations.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges You are An AI Native Engineer with experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments.

You are An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments.

Cloud-Native Engineering Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.

The Work • Define and own the end-to-end technical and functional architecture of OneStream XF implementations across consolidation, planning, reporting, and close management. • Lead discovery workshops with CFO, Controller, and finance leadership to capture business requirements and translate them into architectural blueprints. • Design application architecture including; cube structure, dimensionality, workflow profiles, security models, and data integration frameworks. • Establish platform governance standards, coding best practices, and solution design principles across all development workstreams. • Drive integration architecture between OneStream and upstream/downstream systems including ERP, HCM, CRM, and and data warehouses. • Evaluate and select Marketplace solutions, custom extensions, and third-party tools aligned with business needs. • Lead technical and functional reviews, ensuring solution quality, scalability, and maintainability.

What’s in it for you • Lead large-scale commerce implementations where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks) Shape Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets Own end-to-end delivery—from architecture and roadmap through build, rollout, and value realization • Work with global clients across B2C, B2B, and B2B2C commerce Grow engineering leaders and multidisciplinary teams across AI, backend, cloud, and commerce platforms What you will do in this role As an Agentic Senior Manager in Customer Technology – Commerce, you will own the architecture, delivery, and scaling of Agentic Commerce implementations, ensuring AI-driven capabilities are production-ready, secure, and tightly integrated with enterprise commerce ecosystems.

• About Accenture Song – Customer Technology, Commerce Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence.

What You Would Do in This Role As an Agentic Commerce & AI Consultant, you will design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks.

If you can explain what RAG, semantic search, or multi-agent orchestration are to a layperson, you've got this. • Minimum of 2 years of experience designing software systems that incorporate AI components—understanding when AI is appropriate, designing around its limitations, and creating fallback mechanisms. • Minimum of 4 years of experience working in an agile team. • Minimum of 2 years of experience and understanding of AI system observability and debugging (LLM tracing, analyzing failure modes) Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) Bonus Points if you Have • Experience building with LLM APIs (Claude, GPT-4, etc.) and understanding prompt engineering patterns • Experience designing multi-agent systems with distinct roles (planning, execution, evaluation, coordination) • Experience designing and building MCP Server and Client including standard connection, tools and data exposure as well as specific tools • Experience with agentic frameworks (LangChain, LlamaIndex, or custom orchestration patterns) • Experience analyzing and transforming existing systems—understanding legacy architectures through systematic dependency analysis, git history mining, and architectural discovery before modification (brownfield work is most of enterprise AI) • Hands-on experience with vector databases and RAG architectures (Qdrant, Pinecone, ChromaDB, Weaviate) Understanding of graph databases and knowledge graphs (Neo4j, Neptune) for semantic relationships and ontology modeling • Hands-on experience with cloud platforms (AWS, Azure, or GCP)—specifically choosing and configuring components for AI-native architectures • Experience with event-driven architectures and streaming technologies (Kafka, Kinesis, EventBridge, event streaming platforms) for real-time AI feedback loops • Experience with microservices architectures and composable system design • Experience with containerization and orchestration (Docker, Kubernetes, ECS) Understanding of observability and monitoring for AI systems (LLM tracing, token usage, latency, cost tracking) • Experience with production AI operations—LLMOps, prompt versioning, model lifecycle management, or managing AI systems at scale • Experience with real-time communication protocols (WebSockets, Server-Sent Events, HTTP/2) for human-AI interaction patterns • Experience with distributed transactional data stores and their consistency models Functional programming experience, particularly patterns relevant to AI systems (immutability, pure functions, composition) Understanding of information retrieval, semantic search, or embedding-based similarity Prior experience in traditional ML/data science (helpful but not required—we're often doing something quite different) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.

Most of our work fits what we call AI Transformation Decoupling • we design and build state-of-the-art agentic systems to wrap legacy cores, establish real-time feedback loops, add new AI-native functionality, and methodically transform existing systems into composable, event-driven architectures that support human-AI collaboration at scale.

A minimum of 3 years designing enterprise-scale software or platform solutions as a Technical Architect including strong understanding of modern architecture patterns (micro-frontend frameworks, microservices, event-driven, API-first, domain-driven design).

You Are A Salesforce CPQ Technical Architect for Revenue with a keen eye for problem solving. You work with project teams to identify and analyze clients’ requirements and craft the right solution.

Serve as the primary subject matter expert on Mid-Market AWS Business Group (AABG) solutions during sales pursuits, participating in client-facing presentations, orals, solution workshops, and RFP/RFI responses to articulate Accenture's technical vision and differentiated capabilities. • Provide hands-on technical leadership during project delivery, guiding solution design, validating architectural decisions, and advising delivery teams on best practices for data platforms, analytics, machine learning, and generative AI implementations.

Learn more about our AABG and AWS at Accenture here • https://www.accenture.com/us-en/service-aws-cloud You Are The Delivery • Lead – AI & DATA is a pivotal role responsible for guiding the successful delivery of advanced AI and data solutions.

You are As a Data & AI Senior Manager for our Commerce Retail at Accenture Song, you will help global and national retailers reinvent marketing, commerce, and customer experience through advanced analytics, data orchestration, and generative AI.

You Are A Senior Forward Deployed Engineer leading the modernization of customer data and application ecosystems on the Snowflake AI Data Cloud, with deep focus on enterprise data engineering workloads.

You architect enterprise-grade platforms using AI Agents, Generative AI, Foundation Models, and Knowledge & Data Engineering to solve complex business problems at scale.