AI
Full time
🤖 AI / ML
AI/ML Computational Science Specialist – Agentic AI & Integration at Accenture in India
Listed by DevShelfHub
Bengaluru
Hybrid
Senior · 5–8 yrs
About the Role
Accenture is reimagining engineering delivery through Reinvention Deployment Engineering (RDE)—combining human expertise with AI-driven agents to accelerate innovation. As Agentic AI and GenAI solutions become central to enterprise operations, Accenture in India is hiring an AI/ML Computational Science Specialist in Bengaluru to design, build, and deploy AI-native and Agentic AI solutions for Operations RDE PODs.
What you'll do
- Own design and build of complex Python-led AI/ML and Agentic AI modules across the delivery lifecycle
- Design and implement agent workflows, tool-calling patterns, RAG pipelines, vector search, and enterprise grounding approaches
- Guide L11/L10 engineers through code reviews, design clarifications, testing practices, and technical issue resolution
- Drive API, microservices, and enterprise platform integration readiness across assigned components
- Contribute to AI testing, observability, responsible AI controls, monitoring, performance optimization, and production support
What we're looking for
- Strong Python engineering: async programming, OOP, data structures, scripting, production AI pipeline development
- Hands-on GenAI, LLMs, prompt engineering, structured outputs, RAG, vector databases, and semantic search
- Agentic patterns: orchestration, tool use, function calling, memory/state, workflow design
- API, microservices, integration, testing, and debugging experience
Skills & Technologies
Required
Strong Python engineering: async programming, OOP, data structures, scripting, production AI pipeline development
Hands-on GenAI, LLMs, prompt engineering, structured outputs, RAG, vector databases, and semantic search
Agentic patterns: orchestration, tool use, function calling, memory/state, workflow design
API, microservices, integration, testing, and debugging experience
Deep understanding of AI agent design, reasoning loops, orchestration, and multi-agent coordination
LLM experience with GPT-4, Claude, Gemini; few-shot, chain-of-thought, structured output techniques
RAG pipeline design with Pinecone, Weaviate, or ChromaDB
LangGraph, LangChain, Semantic Kernel, or CrewAI proficiency
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This specialist role offers deep ownership of Agentic AI architecture and enterprise integration in Accenture's RDE POD delivery model.
- Design and build complex Python-led AI/ML and Agentic AI modules
- Implement agent workflows, tool-calling patterns, RAG pipelines, and vector search
- Guide junior engineers through code reviews and design clarifications
- Drive API, microservices, and enterprise platform integration readiness
- Contribute to AI testing, observability, responsible AI, and production support
- Work with LangGraph, LangChain, Semantic Kernel, or CrewAI frameworks
- Exposure to Azure, AWS, GCP, Docker, Kubernetes, and CI/CD
- Integrate with enterprise platforms: ServiceNow, SAP, Salesforce, Microsoft ecosystem
- T-shaped engineering role with primary Python/AI depth and adjacent skill breadth
- Accelerate client-facing outcomes through compact POD-based delivery
About Accenture in India
Accenture's Reinvention Deployment Engineering (RDE) approach combines human expertise with AI-driven agents to enhance innovation velocity, streamline processes, and reduce time to market. RDE emphasizes a value-driven mindset where humans define objectives and ethical guardrails while AI agents handle scale, speed, and data-driven execution. Engineers operate in compact, T-shaped POD teams close to client problems across the full delivery lifecycle.
- Industry
- Technology
- Company Size
- 500+
- Website
- accentureinindia.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–8 years
- Location
- Bengaluru
- Work Mode
- Hybrid
- Category
- AI / ML
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