#ACN I&P GN - Song - Consultant - Enterprise AI Value Strategy-EVS

Accenture Song uses AI, proprietary customer data, and product platforms to help clients improve customer experience and drive measurable growth across marketing, sales, commerce, and service. From strategy through execution, Song Data & AI helps organizations build and operationalize advanced capabilities - covering customer data unification, predictive analytics, and Generative AI (including agentic use cases) - to enable smarter decisioning like personalization and “next best action,” faster content and experience delivery, and more effective commerce and customer engagement.

• Join a worldwide network of practitioners who are pioneers in leveraging cutting-edge AI technologies, including Generative AI and Agentic AI.
• Access world-class training, mentorship, and certifications to expand your skill set and stay at the forefront of industry trends.
• Work on high-visibility engagements across Marketing, Sales & Commerce, Customer Service, and Digital Products - applying AI to transform how businesses operate.
• Contribute to Accenture's internal accelerators, reusable assets, and methodologies that scale AI adoption globally.

As a Consultant, you will take end-to-end ownership of AI solution development with a focus on Generative AI and Agentic AI, driving technical delivery and client impact.

• →Design and implement Agentic AI systems using multi-agent frameworks - orchestrating specialized agents (retrievers, planners, insight generators, executors) to deliver scalable client solutions.
• →Build and deploy Generative AI applications: LLM-based pipelines, RAG systems, prompt engineering frameworks, and fine-tuned models for domain-specific use cases.
• →Define and manage data, knowledge, and context pipelines to enable effective agent reasoning, memory, and action.
• →Architect orchestration pipelines that coordinate agents across complex, multi-step workflows with appropriate monitoring and fallback mechanisms.
• →Leverage cloud platforms (AWS, Azure, GCP) for scalable AI deployment, lifecycle management, and operational monitoring.
• →Use tooling such as FastAPI, GCP Vertex AI, and Databricks for modular API development, model deployment, and large-scale data workflows.
• →Collaborate with cross-functional teams and client stakeholders to integrate AI solutions into business processes and ensure deployment readiness.
• →Evaluate and continuously improve system performance across accuracy, reliability, automation rate, and business KPIs.
• →Translate complex AI capabilities into client-ready presentations, demos, and playbooks that articulate business value clearly.
• →Mentor junior Analysts on technical implementation, consulting norms, and professional development.
• →Contribute to internal accelerators, IP assets, and knowledge-sharing initiatives.

Candidates should bring hands-on solution-building experience in one or more of the following domains:

• Marketing - customer acquisition, content/ creative generation, performance optimization, and next-best-action execution
• Sales - omnichannel selling experiences, and revenue intelligence
• Commerce - digital commerce platforms
• Service - customer service transformation, contact center AI, and operations automation
• Design & Digital Products - experience design, digital product build, and agile product delivery

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related discipline with an excellent academic record.
• 4 - 7 years of progressive experience in AI/ML or Data Science, with preference for consulting or enterprise delivery contexts.
• Expert proficiency in Python and SQL; demonstrated ability to build and ship production-grade AI solutions.
• Proven track record implementing Generative AI use cases: RAG, LLM fine-tuning, prompt engineering, or multi-modal applications.
• Hands-on experience with Agentic AI frameworks - LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph.
• Solid experience with at least one cloud platform (AWS, Azure, or GCP) for AI/ML model deployment, orchestration, and monitoring.
• Practical exposure to FastAPI, GCP Vertex AI, and/or Databricks in end-to-end solution development.
• Strong client-facing communication skills - ability to structure narratives, build business cases, and deliver compelling demos.
• Ability to independently structure problems, identify AI-fit use cases, and drive solutions from design to deployment.

• Profiles limited to BPM operations, platform-only implementation (SAP/Oracle), or presales without delivery depth.
• Candidates without demonstrable hands-on AI/ML build experience.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

• Experience building AI solutions in Marketing (acquisition, next-best-action, content), Commerce, Service, or Digital Product contexts.
• Exposure to AI governance, responsible AI principles, or model monitoring frameworks.
• Consulting or client-delivery experience with structured problem-solving frameworks.
• Rapid prototyping skills and comfort with ambiguity in early-stage client engagements.

Visit us at www.accenture.com 

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.