Employment type in the employer’s posting: Full timeFrom the employer’s posting
Lead end-to-end delivery of AI projects, from requirements to post-deployment support
Design and implement AI agents and multi-agent systems using frameworks such as LangChain and AutoGen
Build MCP integrations linking AI systems to external tools and APIs
Train and fine-tune LLMs on large-scale datasets and evaluate model performance
Advise clients on Gen AI best practices, risk management, AI safety and governance
Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support
Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures
Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs
Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.
Drive discussions on Gen AI best practices, risk management, AI safety, and governance
Location: Open Must have skills: Generative AI, Agentic AI, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration, Machine Learning, Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration
Professional & Technical Skills: – 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
Must have skills: Generative AI, Agentic AI, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration, Machine Learning, Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Job Summary: As an AI Decision Science Sr. Manager, you will lead cross-functional teams in the design, development, and deployment of advanced AI agents and multi-modal AI solutions that autonomously execute complex business workflows. You will be responsible for defining and implementing Gen AI and agentic AI strategies for clients, ensuring successful delivery of large-scale AI initiatives. Your expertise will drive innovation, build client relationships, and shape the roadmap for autonomous AI-driven business transformation. Roles & Responsibilities:
o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. – Innovation and 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
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.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job Description
Entity: - Accenture AI & Data
Practice: - FS - Insurance
Title: - Ind & Func AI Decision Science Sr. Manager
Job location: - Gurugram, Bengaluru
Management Level : 6 – Senior Manager
Location: Open
Must have skills: Generative AI, Agentic AI, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration, Machine Learning,
Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration
Job Summary: As an AI Decision Science Sr. Manager, you will lead cross-functional teams in the design, development, and deployment of advanced AI agents and multi-modal AI solutions that autonomously execute complex business workflows. You will be responsible for defining and implementing Gen AI and agentic AI strategies for clients, ensuring successful delivery of large-scale AI initiatives. Your expertise will drive innovation, build client relationships, and shape the roadmap for autonomous AI-driven business transformation. Roles & Responsibilities:
– Strategic Leadership & Project Delivery
o Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support
o Provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies
o Define and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectives
- Client & Stakeholder Engagement
o Act as a trusted advisor to clients, translating complex AI concepts into actionable business solutions
o Drive discussions on Gen AI best practices, risk management, AI safety, and governance
– Advanced Generative AI & Agentic System Development
o Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures
o Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously
o Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs
o Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities
– Leverage Advanced Data Science Techniques:
o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).
o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments.
– Develop and Implement AI Models:
o Build and deploy AI models and Generative AI applications.
o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.
o Evaluate model performance and implement iterative improvements.
– Solution Integration and Deployment:
o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.
o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment.
– Innovation and Knowledge Sharing:
o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.
o Document methodologies and findings for effective knowledge sharing.
Professional & Technical Skills:
– 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 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.
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Gurugram
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