AI Native Software Engineer
Role Overview
We are looking for a highly skilled Principal Engineer to lead the design and implementation of advanced AI and deep learning solutions.
This role requires deep expertise in Large Language Models (LLMs), cloud-based AI deployment on Azure, and full-stack software development using.NET and Python.
You will drive the technical strategy, mentor engineering teams, and collaborate with product and data science teams to build scalable, high-performance AI systems that solve complex business challenges.
Roles and responsibilities:
Bachelor s or Master s degree in Computer Science, Engineering, or related field.
10+ years of professional software engineering experience with at least 5 years focused on AI/ML development.
Strong experience working with Large Language Models (e.g., GPT, BERT) and deep learning frameworks (TensorFlow, PyTorch).
Proficiency in Python and.NET (C#) for developing scalable AI solutions.
Hands-on experience with Microsoft Azure AI services (Azure ML, Cognitive Services, AKS).
Expertise in cloud-native architectures, microservices, and container orchestration.
Proven track record of leading engineering teams and driving architecture decisions.
Strong problem-solving skills and ability to deliver results in ambiguous, fast-paced environments.
Excellent verbal and written communication skills.
Professional attributes:
Experience with NLP libraries like Hugging Face Transformers, spaCy.
Familiarity with MLOps practices and tooling (model training pipelines, monitoring, versioning).
Knowledge of distributed systems and data engineering concepts.
Full Job Posting
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.
Qualifications
- Hands-on experience with Microsoft Azure AI services (Azure ML, Cognitive Services, AKS).
- Experience with NLP libraries like Hugging Face Transformers, spaCy.
- Familiarity with MLOps practices and tooling (model training pipelines, monitoring, versioning).
Responsibilities
- Bachelor s or Master s degree in Computer Science, Engineering, or related field.
- 10+ years of professional software engineering experience with at least 5 years focused on AI/ML development.
- Strong experience working with Large Language Models (e.g., GPT, BERT) and deep learning frameworks (TensorFlow, PyTorch).
- Proficiency in Python and.NET (C#) for developing scalable AI solutions.
- Hands-on experience with Microsoft Azure AI services (Azure ML, Cognitive Services, AKS).
- Expertise in cloud-native architectures, microservices, and container orchestration.
- Proven track record of leading engineering teams and driving architecture decisions.
- Strong problem-solving skills and ability to deliver results in ambiguous, fast-paced environments.
- Excellent verbal and written communication skills.
- Professional attributes:
- Experience with NLP libraries like Hugging Face Transformers, spaCy.
- Familiarity with MLOps practices and tooling (model training pipelines, monitoring, versioning).
- Knowledge of distributed systems and data engineering concepts.
- Experience implementing CI/CD pipelines and DevOps automation.
- Contributions to AI-related open-source projects or publications.
- PhD or advanced research background in AI/ML or related fields
- Proven experience in cloud, DevOps, or AI modernization initiatives.
- Strong understanding of LLMs, automation, and engineering toolchains.
- Ability to translate AI innovation into business and productivity impact.
- Additional Information:
- The candidate should have minimum 7.5 years of experience in Python (Programming Language).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
- 15 years full time education
About Accenture
Global professional services company delivering 360° value.
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