AI Native Software Engineer

Posted 5 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Information Technology
The Role
Lead the design and implementation of production AI and deep learning systems using LLMs, Python, .NET, and Azure. Drive technical strategy, architecture decisions, team mentorship, cloud-native development, MLOps, CI/CD, and scalable microservices deployment. Collaborate with product and data science teams to deliver business-focused AI solutions and continuously improve engineering practices.
Summary Generated by Built In
Project Role : AI Native Software Engineer
Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Job Summary
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.
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

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.

Skills Required

  • Minimum 7.5 years of experience in Python programming
  • 10+ years of professional software engineering experience
  • At least 5 years of AI/ML development experience
  • 15 years of full-time education
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Strong experience with Large Language Models such as GPT and BERT
  • Experience with deep learning frameworks including TensorFlow and PyTorch
  • Proficiency in Python and .NET/C#
  • Hands-on experience with Microsoft Azure AI services, including Azure ML, Cognitive Services, and AKS
  • Expertise in cloud-native architectures, microservices, and container orchestration
  • Experience leading engineering teams and driving architecture decisions
  • Strong problem-solving and communication skills
  • Experience with NLP libraries such as Hugging Face Transformers and spaCy
  • Familiarity with MLOps practices and tooling
  • 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 a related field
  • Experience in cloud, DevOps, or AI modernization initiatives

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

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, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ 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.

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