Strategy & Consulting - Global Network - SONG - Agentic AI Consultant

About The Role

The Agentic AI Consultant designs, develops, and deploys enterprise-grade Agentic AI solutions leveraging Generative AI, multi-agent systems, orchestration frameworks, and cloud technologies. The role focuses on delivering scalable AI solutions that improve business outcomes across digital and commerce ecosystems.

Key Responsibilities

Design and implement Agentic AI and multi-agent systems using industry-standard frameworks.

Develop orchestration pipelines that coordinate specialized AI agents.

Build and manage data, knowledge, and context pipelines that support agent reasoning and decision-making.

Integrate AI solutions with enterprise APIs and backend systems.

Prepare, validate, and manage data inputs for AI workflows.

Collaborate with clients and cross-functional teams to align AI solutions with business objectives.

Deploy and monitor AI applications on cloud platforms.

Apply Responsible AI practices, including governance, monitoring, traceability, and security controls.

Create technical documentation, best practices, presentations, demos, and client-facing materials.

Stay current with emerging technologies in Agentic AI and enterprise AI adoption.

Required Qualifications

Education

Bachelor's or Master's degree in Computer Science, Statistics, Business Administration, Data Science, Engineering, or a related field.

Experience

Minimum 2 years of experience designing, developing, and deploying Agentic AI or Generative AI solutions.

Experience building scalable multi-agent systems using frameworks such as:

LangChain

LlamaIndex

CrewAI

AutoGen

LangGraph

Experience designing prompt workflows, orchestration pipelines, and multi-agent coordination architectures.

Experience integrating AI solutions with enterprise APIs and backend platforms.

Experience implementing LLM evaluation methodologies, testing frameworks, and observability practices.

Hands-on experience developing AI solutions using Python and SQL.

Experience deploying solutions on at least one major cloud platform:

Microsoft Azure

Google Cloud Platform (GCP)

Amazon Web Services (AWS)

Experience working with FastAPI and Databricks.

Technical Skills

Generative AI

Agentic AI

Large Language Models (LLMs)

Multi-Agent Systems

Prompt Engineering

API Integration

Cloud Architecture

AI Deployment and Monitoring

Data Engineering Fundamentals

Preferred Qualifications

Experience with vector databases.

Experience with retrieval-augmented generation (RAG) architectures.

Experience with knowledge base integration.

Experience with Redis or similar in-memory data stores.

Knowledge of reinforcement learning concepts.

Knowledge of CI/CD practices and containerization technologies.

Experience with cloud-native application architectures.

Experience supporting production AI applications.

Professional Competencies

Ability to communicate complex AI concepts to technical and non-technical stakeholders.

Strong analytical and problem-solving skills.

Ability to structure scalable and production-ready AI solutions.

Experience collaborating in cross-functional and client-facing environments.

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.