Technical Commerce & AI Consultant

• Work at the forefront of Agentic Commerce and Generative AI, building next-generation intelligent commerce ecosystems.
• Gain hands-on exposure to modern commerce platforms, composable architectures, CDPs, MarTech stacks, and AI orchestration frameworks.
• Collaborate with Song teams across Commerce, Experience, Marketing, and Data.
• Contribute to reusable accelerators and AI-driven commerce solution assets.
• Develop deep technical expertise and client-facing consulting skills within high-impact transformation programs.

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. You will take ownership of solution components, ensuring scalable, secure, and business-aligned deployments within customer technology ecosystems.

Agentic Commerce Solution Development

• Design and implement Agentic AI systems enabling intelligent decision workflows across:
• Personalization engines
• Merchandising optimization
• Campaign orchestration
• Conversational commerce
• Digital customer engagement platforms
• Develop multi-agent architectures coordinating planners, retrievers, reasoning agents, predictive models, and optimization components.
• Build and operationalize retrieval-augmented generation (RAG) systems grounded in structured commerce knowledge, product taxonomies, business rules, and policy constraints.

Data & Orchestration Engineering

• Define and manage data, knowledge, and context pipelines to support effective agent reasoning.
• Lead data preparation, integration, validation, and semantic modeling for commerce use cases.
• Architect orchestration pipelines integrating:
• Predictive models
• LLM reasoning
• Decision APIs
• Enterprise tools and backend services
• Ensure scalable integration within digital commerce platforms (e.g., Adobe Commerce, Salesforce Commerce, SAP CX, composable commerce architectures).

Cloud & Deployment

• Leverage AWS, Azure, or GCP for scalable AI deployment and lifecycle management.
• Develop modular services using FastAPI and deploy production-ready solutions using containerized and CI/CD-based environments.
• Utilize Databricks for large-scale modeling workflows and AI experimentation.
• Integrate vector databases, distributed knowledge systems, and in-memory state management (e.g., Redis) for context-aware agent workflows.

Responsible AI & Performance Optimization

• Apply Responsible AI principles including:
• Structured tool access
• Context governance
• Logging and traceability
• Bias awareness
• Drift detection
• Implement LLM evaluation metrics, structured testing frameworks, and observability standards.
• Continuously optimize multi-agent systems for scalability, reliability, and commercial impact.

Consulting & Client Engagement

• Collaborate with cross-functional teams and clients to align AI implementations with business objectives.
• Support development of client-ready presentations, demos, and value narratives.
• Translate complex AI architectures into clear business outcomes and ROI impact.
• Contribute to knowledge assets, reusable accelerators, and best practices.
• Mentor junior analysts and support team capability development.
• Travel: As required for client support up to 50%
• Location: Primary residency within 90 minutes of an approved Accenture office, Leads complex, multi-workstream product initiatives as a principal Product Owner. Owns product vision, strategy, backlog integrity, prioritization, and Scrum team alignment. Coordinates Product, Engineering, Design, Delivery, and other stakeholders; improves execution discipline, transparency, and outcome tracking. Stabilizes programs with fragmented ownership or elevated delivery risk while ensuring customer and business requirements are addressed. Requires substantial Product Owner or Senior Product Manager experience, preferably in payments or financial services.

• 4+ years of experience building scalable AI or data-driven systems, preferably within digital commerce, MarTech, or customer technology ecosystems. Experience should include:
• Strong proficiency in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI solutions.
• Experience working with Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
• Experience designing prompt flows, multi-agent orchestration pipelines, and schema-driven tool invocation (e.g., MCP or similar standards).
• Experience integrating AI systems with enterprise APIs and backend commerce platforms.
• Hands-on experience with FastAPI, AWS/Azure/GCP, and Databricks.
• Experience working with vector databases and retrieval-augmented architectures.
• Understanding of Responsible AI principles and production monitoring standards.
• Working knowledge of cloud-native architectures, containerization, and CI/CD pipelines.
• Strong communication skills with the ability to translate advanced AI concepts into business value.
• Structured problem-solving skills and ability to build scalable, client-ready solutions.
• Experience with designing of a semantic layer and knowledge graph
• Experience with prompt engineering

Be an Early Applicant In-Office Security, CO, USA 59K-196K Annually Mid level In-Office Security, CO, USA 59K-196K Annually Mid level Designs and deploys agentic commerce and generative AI solutions, including multi-agent architectures, RAG systems, data and knowledge pipelines, orchestration services, and cloud-native deployments. Integrates AI with commerce platforms, APIs, vector databases, and enterprise tools while applying responsible AI, monitoring, testing, and optimization practices. Advises clients, translates technical solutions into business value, creates reusable accelerators, presents solutions, and mentors junior team members. The summary above was generated by AI

About Accenture Song - Customer Technology, Commerce

Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, the Customer Technology - Commerce practice helps organizations design, build, and scale modern digital commerce ecosystems that deliver personalized, seamless, and intelligent customer experiences.

We integrate commerce platforms, customer data, marketing technology, and AI-powered decisioning to transform how brands engage customers across channels. By embedding Generative AI and Agentic AI into commerce operations, we enable real-time personalization, autonomous merchandising, dynamic pricing, campaign orchestration, and revenue growth at scale., 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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below., Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture, 4 Hours Ago Hybrid 119K-187K Annually Senior level 119K-187K Annually Senior level Fintech * Financial Services Develops marketing testing strategies, experimental designs, forecasts, and learning agendas to improve campaign performance. Partners with stakeholders to optimize marketing levers, applies statistical techniques to large datasets, supports financial forecasting, ensures regulatory compliance, and advises senior leadership. The role requires strong data science, marketing analytics, forecasting, project management, communication, and cross-functional collaboration skills. Top Skills: ExcelPythonRSQL Wells Fargo

Principal Engineer

4 Hours Ago Hybrid 159K-254K Annually Senior level 159K-254K Annually Senior level Fintech * Financial Services Lead strategy, architecture, and delivery of secure network solutions for data centers and interconnect sites. Own end-to-end lifecycle-planning, design, configuration, integration-of load balancers, firewalls, and automation. Advise leadership, mentor engineers, and drive improvements in reliability, resilience, operational maturity, and technical documentation. Top Skills: A10AnsibleAviAws ElbAzure Load BalancerF5FortinetGitGslbJavaNetscalerPalo AltoPl-SqlPythonServer-Side Load BalancingTerraformYaml

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