Accenture is hiring
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AI / ML Engineer
Reads like an AI Engineer role: building products on existing AI models.
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop LLM-based chatbots, RAG systems, and AI assistants
Design data ingestion, preprocessing, and document update pipelines
Implement prompt engineering, embeddings, vector search, and evaluation
Build async REST APIs using FastAPI / Flask
Deploy, monitor, and scale apps on Azure Cloud
From the employer’s posting
Develop LLM-based chatbots, RAG systems, and AI assistants
Design data ingestion, preprocessing, and document update pipelines
Implement prompt engineering, embeddings, vector search, and evaluation
Build async REST APIs using FastAPI / Flask
Deploy, monitor, and scale apps on Azure Cloud
What you’ll bring
All qualificationsCore experience
- 7.5+ years of experience required
- Advanced Python
- NLP and generative AI (LLMs, RAG, prompt engineering)
- Azure OpenAI or other LLM platforms
- Proven production deployment of GenAI systems
Qualification wording
Minimum 7.5 year(s) of experience is required
Python (advanced)
NLP & Generative AI (LLMs, RAG, prompt engineering)
Azure OpenAI / LLM platforms
Proven production deployment of GenAI systems
Tools in this posting
- Python
- Azure
- FastAPI
- Flask
Source — Tool mentions in context
Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models (LLMs) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Role Summary Own end-to-end NLP & Generative AI solutions from design to production Build scalable, cloud-native LLM-powered applications on Azure Key Responsibilities Develop LLM-based chatbots, RAG systems, and AI assistants Design data ingestion, preprocessing, and document update pipelines Implement prompt engineering, embeddings, vector search, and evaluation Build async REST APIs using FastAPI / Flask Handle rate limits, retries, load balancing, and fault tolerance for LLM APIs Deploy, monitor, and scale apps on Azure Cloud Deliver rapid PoCs and MVPs under tight timelines Mentor juniors and support team delivery Must-Have Skills Python (advanced) NLP & Generative AI (LLMs, RAG, prompt engineering) Azure OpenAI / LLM platforms FastAPI / Flask (async) Azure Cloud (App Service, Storage, AI Search, Cosmos DB) CI/CD, logging, monitoring (Jenkins, OpenTelemetry) Experience 5+ years in NLP / AI / ML Proven production deployment of GenAI systems Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing
Role Summary Own end-to-end NLP & Generative AI solutions from design to production Build scalable, cloud-native LLM-powered applications on Azure Key Responsibilities Develop LLM-based chatbots, RAG systems, and AI assistants Design data ingestion, preprocessing, and document update pipelines Implement prompt engineering, embeddings, vector search, and evaluation Build async REST APIs using FastAPI / Flask Handle rate limits, retries, load balancing, and fault tolerance for LLM APIs Deploy, monitor, and scale apps on Azure Cloud Deliver rapid PoCs and MVPs under tight timelines Mentor juniors and support team delivery Must-Have Skills Python (advanced) NLP & Generative AI (LLMs, RAG, prompt engineering) Azure OpenAI / LLM platforms FastAPI / Flask (async) Azure Cloud (App Service, Storage, AI Search, Cosmos DB) CI/CD, logging, monitoring (Jenkins, OpenTelemetry) Experience 5+ years in NLP / AI / ML Proven production deployment of GenAI systems Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing 15 years full time education
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Availability unconfirmed
- First seen by us
- Aug 21, 202684 days ago
- Recorded sightings
- 15
- Last seen by us
- Nov 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Has Accenture posted this job before?
Yes. We’ve followed 25 other AI / ML Engineer jobs there since November 2026. All 25 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About Accenture
- People
- About 814,000 in 2026, up 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as ACN.
- H-1B visas
- 294 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 85 people. The latest was filed May 14, 2025.State WARN notices
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
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
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Summary
Own end-to-end NLP & Generative AI solutions from design to production
Build scalable, cloud-native LLM-powered applications on Azure
Key Responsibilities
Develop LLM-based chatbots, RAG systems, and AI assistants
Design data ingestion, preprocessing, and document update pipelines
Implement prompt engineering, embeddings, vector search, and evaluation
Build async REST APIs using FastAPI / Flask
Handle rate limits, retries, load balancing, and fault tolerance for LLM APIs
Deploy, monitor, and scale apps on Azure Cloud
Deliver rapid PoCs and MVPs under tight timelines
Mentor juniors and support team delivery
Must-Have Skills
Python (advanced)
NLP & Generative AI (LLMs, RAG, prompt engineering)
Azure OpenAI / LLM platforms
FastAPI / Flask (async)
Azure Cloud (App Service, Storage, AI Search, Cosmos DB)
CI/CD, logging, monitoring (Jenkins, OpenTelemetry)
Experience
5+ years in NLP / AI / ML
Proven production deployment of GenAI systems
Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing15 years full time education
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Summary
Own end-to-end NLP & Generative AI solutions from design to production
Build scalable, cloud-native LLM-powered applications on Azure
Key Responsibilities
Develop LLM-based chatbots, RAG systems, and AI assistants
Design data ingestion, preprocessing, and document update pipelines
Implement prompt engineering, embeddings, vector search, and evaluation
Build async REST APIs using FastAPI / Flask
Handle rate limits, retries, load balancing, and fault tolerance for LLM APIs
Deploy, monitor, and scale apps on Azure Cloud
Deliver rapid PoCs and MVPs under tight timelines
Mentor juniors and support team delivery
Must-Have Skills
Python (advanced)
NLP & Generative AI (LLMs, RAG, prompt engineering)
Azure OpenAI / LLM platforms
FastAPI / Flask (async)
Azure Cloud (App Service, Storage, AI Search, Cosmos DB)
CI/CD, logging, monitoring (Jenkins, OpenTelemetry)
Experience
5+ years in NLP / AI / ML
Proven production deployment of GenAI systems
Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing15 years full time education
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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Bengaluru
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