S&C Global Network - AI - CDI - Data Science Consultant
Quick Summary
Advanced Generative AI & Agentic System Development Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI,
Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML,
Responsibilities
~1 min read- →Advanced Generative AI & Agentic System Development
- →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
- →Leverage Advanced Data Science Techniques:
- →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.
- →Develop and Implement AI Models:
- →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.
- →Solution Integration and Deployment:
- →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.
- →Innovation and Knowledge Sharing:
- →Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.
- →Document methodologies and findings for effective knowledge sharing.
- Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks.
- Cloud & Infrastructure: 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 AI/ML models.
- The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows
- Strong understanding of AI safety, alignment, and governance principles for autonomous systems
- Experience with enterprise-grade AI agent deployments and production system management
- This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects
About Our Company | Accenture (do not remove the hyperlink)
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.
Location & Eligibility
Listing Details
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 27, 2026
Signal breakdown
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