S&C Global Network - AI - CDI -Agentic AI- Analyst
8140 ASOL - Gurugram Non STPI Company
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Job summary
8140 ASOL - Gurugram Non STPI Company seeks an AI Decision Science Analyst to design and deploy enterprise AI solutions powered by LLMs, agentic AI, and multi-agent orchestration. You will build AI agents, integrate with enterprise platforms, and collaborate with architects, engineers and business stakeholders.
The role demands 2+ years in AI/ML, a BE/BTech/MS/MBA with strong Python, LangGraph/LangChain skills, and experience delivering production-grade AI approaches in an enterprise setting.
Qualifications
- Minimum 2 years of AI/ML experience with Generative AI, LLMs, Agentic AI systems.
- Experience delivering enterprise AI applications in consulting or enterprise settings.
- BE/BTech/MTech/MS/MBA with strong academic record.
Responsibilities
- Design, develop, fine-tune, evaluate, and deploy enterprise AI solutions.
- Build intelligent AI agents capable of reasoning, planning, and autonomous execution.
- Develop MCP servers and integrations with enterprise apps.
- Design HITL workflows for approvals and validations.
- Integrate AI agents with ServiceNow, Graph API, Teams, Splunk and REST APIs.
Skills
Education
Tools
Job description
Ind & Func AI Decision Science Analyst – Agentic AI & Intelligent Automation Management Level 11 – Analyst Location Gurugram
- Generative AI
- Agentic AI Systems
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Multi-Agent Systems
- AI Agent Orchestration
- Python
- SQL
- LangGraph
- AI Refinery
- LangChain
- AutoGen
- CrewAI
- Prompt Engineering
- Function Calling
- Tool Calling
- Retrieval-Augmented Generation (RAG)
- LLM Fine-tuning
- AI Model Evaluation
- REST APIs
- Enterprise AI Solution Development
- LangChain
- LlamaIndex
- AutoGen
- CrewAI
- Semantic Kernel
- Azure AI Search
- Azure Functions
- Microsoft Graph API
- ServiceNow Integration
- Splunk
- Microsoft Teams Integration
- Vector Databases
- Docker
- Kubernetes
- Azure DevOps
- CI/CD
- MLOps
- AI Guardrails
- Responsible AI
- AI Evaluation Frameworks
- Observability & Monitoring
- Git
- Cloud Platforms (Azure, AWS, GCP)
Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI, Large Language Models (LLMs), Agentic AI systems, Multi-Agent Systems, and enterprise AI application development. Experience in building and deploying production-grade AI solutions within a consulting or enterprise environment is preferred.
Bachelor's or Master's degree (BE/BTech/MTech/MS/MBA) in Computer Science, Artificial Intelligence, Machine Learning, Information Technology, Data Science, Mathematics, Statistics, or related disciplines with an excellent academic record.
As an AI Decision Science Analyst, you will design, develop, fine-tune, evaluate, and deploy enterprise-scale AI solutions powered by Large Language Models (LLMs), Agentic AI, and Multi-Agent Systems. You will build intelligent AI agents capable of reasoning, planning, collaborating, and autonomously executing complex business workflows using advanced orchestration frameworks and Model Context Protocol (MCP). You will develop enterprise AI applications integrating with platforms such as ServiceNow, Microsoft Graph, Microsoft Teams, Splunk, Azure AI Services, Azure Functions, databases, and REST APIs to automate business processes and enhance operational efficiency. You will work closely with solution architects, product owners, engineers, and business stakeholders to deliver secure, scalable, and production-ready AI solutions across multiple industries.
Design, develop, and deploy enterprise AI agents using AI Refinery, LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, and custom agentic architectures. Build intelligent multi-agent systems capable of reasoning, planning, task decomposition, collaboration, and autonomous execution. Develop reusable agent orchestration frameworks, AI accelerators, and enterprise AI components. Design and implement Model Context Protocol (MCP) servers and integrations enabling seamless communication between AI agents and enterprise applications. Design Human-in-the-Loop (HITL) workflows where business approvals or validations are required. Build AI copilots, autonomous agents, and workflow automation solutions for enterprise use cases.
Build, fine-tune, evaluate, and optimize Large Language Models (LLMs) for enterprise use cases. Develop Generative AI applications using advanced prompt engineering, structured outputs, function calling, and tool calling. Evaluate AI models across accuracy, latency, grounding quality, safety, hallucination rates, and business KPIs. Optimize prompts, agent workflows, and reasoning strategies to improve reliability and performance. Implement model evaluation pipelines and continuous improvement mechanisms.
Design and implement enterprise RAG solutions using Azure AI Search, vector databases, semantic search, and knowledge retrieval techniques. Develop document ingestion, chunking, metadata enrichment, indexing, and retrieval pipelines. Optimize grounding strategies and retrieval quality to improve AI response accuracy. Build scalable enterprise knowledge management solutions powered by LLMs.
Integrate AI agents with ServiceNow, Microsoft Graph API, Microsoft Teams, Splunk, Azure Functions, Azure SQL, and REST APIs. Build secure MCP integrations enabling AI agents to interact with enterprise systems. Develop scalable enterprise automation workflows leveraging AI agent orchestration. Design resilient API integrations with security, authentication, logging, retries, and error handling.
Implement AI guardrails, Responsible AI principles, governance controls, and compliance standards. Design evaluation frameworks for measuring AI quality, grounding, latency, hallucination rates, and business outcomes. Build observability dashboards to monitor AI agent execution, token consumption, workflow performance, cost, and operational health. Ensure enterprise AI applications meet organizational security, governance, and compliance requirements.
Collaborate with architects, product owners, and engineering teams to design and deliver scalable cloud-native AI solutions. Deploy AI applications using Azure AI Foundry, Azure OpenAI, Azure Functions, and enterprise cloud platforms. Participate in architecture, design, code reviews, testing, deployment, and production support. Implement CI/CD pipelines and MLOps practices for AI solution lifecycle management.
Stay updated with advancements in Generative AI, Agentic AI, MCP, LLMs, and enterprise AI technologies. Develop reusable frameworks, accelerators, templates, and best practices. Create technical documentation and mentor junior team members.
- Generative AI
- Agentic AI Systems
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Python
- LangGraph
- LangChain
- AutoGen
- Semantic Kernel
- Azure AI Search
- Azure Functions
- Azure OpenAI
- Azure AI Foundry
- Azure DevOps
- Retrieval Augmented Generation (RAG)
- Git
- CrewAI
- Sklearn
- PyTorch
- SQL
- Databricks
- COS API Services
- AIops
- Azure AI Foundry
- Azure OpenAI
- Azure AI Search
- Azure Functions
- Azure DevOps
- Azure Key Vault
- Docker
- Kubernetes
- CI/CD
- MLOps
- Azure SQL
- SQL Analysis Services
Experience delivering production-grade enterprise AI and Agentic AI solutions. Strong understanding of AI safety, Responsible AI, governance, and enterprise AI security. Experience designing scalable multi-agent systems and AI orchestration frameworks. Experience integrating AI applications with enterprise platforms using APIs, MCP, and cloud services. Experience with observability, monitoring, evaluation frameworks, and performance optimization. Strong analytical, problem-solving, communication, and stakeholder management skills. Experience working in Agile delivery environments and consulting engagements.
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. 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. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join agreat place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture
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