Role at a glance
- Job function
-
AI & Data Generative AI Engineering AI Solutions Architecture Large Language Model (LLM) Engineering
- Salary
- Not Disclosed
- Location
- Bengaluru, BDC9A
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8 to 12 years
- Education
- BE/BTech
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Role Summary
The RDE AIML Computational Science Associate Manager will design, build, integrate, test, and deploy AI-native and Agentic AI solutions for Accenture Operations RDE PODs. The role works across the delivery lifecycle and supports integrations, cloud, DevOps, testing, observability, responsible AI, and enterprise platforms to accelerate client-facing outcomes.
What You'll Do
- Lead design and development of Python-led Agentic AI solutions, including agent workflows, orchestration, tool calling, function...
- Define and implement LLM-enabled solution patterns using prompt engineering, structured outputs, RAG, vector databases, semantic search,...
- Evaluate and recommend agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, and CrewAI.
- Own integration design across APIs, microservices, and enterprise platforms such as ServiceNow, Appian, SAP, Salesforce, Microsoft 365,...
- Drive cloud and DevOps readiness using Azure, AWS, or GCP, including Docker, Kubernetes, CI/CD, GitOps, infrastructure automation, and...
- Establish testing, observability, and LLM evaluation practices and embed responsible AI, security, identity, compliance, and guardrail...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Python engineering, full stack development, Agentic AI, LangChain, LangGraph, MCP, RAG, GenAI LLM solution development, prompt engineering, structured outputs, vector databases, semantic search, async programming, object-oriented programming, data structures, and production-grade AI pipeline development.
Required
- Python
- Full Stack Development
- Agentic AI
- LangChain
- LangGraph
- MCP
- RAG
- GenAI LLM solution development
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Designation: RDE AIML Computational Science Assoc Mgr
Qualifications:BE/BTech
Years of Experience:8 to 12 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? • Reinvention Deployed Engineer (RDE) is an approach used by Accenture to reimagine and accelerate the delivery of engineering and R&D solutions. It focuses on combining human expertise with AI-driven agents to enhance innovation velocity, streamline processes, and reduce time to market for products and services. RDE emphasizes a value-driven mindset, where humans define objectives and ethical guardrails while AI agent • handle scale, speed, and data-driven execution. The RDE AIML Computational Science Assoc Manager Agentic AI Integration will design, build, integrate, test and deploy AI native and Agentic AI solutions for Accenture Operations RDE PODs. The role is intended for multi skilled engineers with Python and AIML as the primary capability, supported by working knowledge across integration, cloud, DevOps, testing • observability, responsible AI and enterprise platforms The role supports the RDE POD model where engineers are expected to operate close to client problems, contribute across the delivery lifecycle, reduce handoffs, and accelerate client-facing outcomes through compact, T shaped teams. The hiring approach should therefore prioritize strong primary skill depth plus adjacent skill breadth
What are we looking for? • Python, Full Stack Development, Agentic AI LangChain, LangGraph, MCP, RAG,. Strong Python engineering experience including async programming, Object Oriented Programming, data structures, scripting and production grade AI pipeline development. Hand on experience with GenAI LLM solution development, prompt engineering, structured outputs, RAG pipelines, vector databases and semantic search.Practical understanding of Agentic AI design patterns including orchestration, tool use, function calling, state management, memory and multi-agent coordination.
Roles and Responsibilities: • Lead design and development of Python led Agentic AI solutions, including agent workflows, orchestration, tool calling, function routing, memory state management and multi agent coordination. Define and implement LLM enabled solution patterns using prompt engineering, structured outputs, RAG, vector databases, semantic search and enterprise grounding approaches. Evaluate and recommend agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel and CrewAI based on use case complexity, maintainability, scalability and enterprise readiness. Own integration design across APIs, microservices and enterprise platforms such as ServiceNow, Appian, SAP, Salesforce, Microsoft 365, Teams and Power Platform.Drive cloud and DevOps readiness using Azure, AWS or GCP, including Docker, Kubernetes, CI CD, GitOps, infrastructure automation and deployment governance.Establish testing, observability and LLM evaluation practices covering AI output quality, tracing, monitoring, performance, cost optimization and production support readiness. Embed responsible AI, security, identity, compliance and guardrail requirements into solution design, including OAuth, Azure AD, data protection and enterprise risk controls. Coach junior engineers, review designs and code, unblock technical delivery, and enable RDE POD members to operate as T shaped, multi skilled contributors.BE,BTech
About Accenture
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
Equal Employment Opportunity Statement
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.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.