S&C Global Network - AI - CDI - Data Science Manager at Accenture

Gurugram, Haryana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks
Cloud & Infrastructure knowledge: AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems
Specialized Knowledge: NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems
Experience in developing and deploying AI/ML models
Deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that execute complex business workflows
Strong understanding of AI safety, alignment, and governance principles for autonomous systems

Responsibilities

Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support
Provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies
Define and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectives
Act as a trusted advisor to clients, translating complex AI concepts into actionable business solutions
Drive discussions on Gen AI best practices, risk management, AI safety, and governance
Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures
Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously
Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs
Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities
Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs)
Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments
Build and deploy AI models and Generative AI applications
Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy
Evaluate model performance and implement iterative improvements
Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability
Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment
Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks
Document methodologies and findings for effective knowledge sharing

Skills

Generative AI

Agentic AI

Model Context Protocol (MCP)

Large Language Models (LLMs)

Multi-Agent Systems

Python

SQL

AI Agent Orchestration

Machine Learning

LangChain

LlamaIndex

AutoGen

Crew AI

Spark

AWS

Azure

GCP

NLP

Computer Vision

Vector Databases

RAG

Function Calling

Tool Integration

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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