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AI Principal Architect

Schneider Electric

AI Principal Architect

Schneider Electric

Bangalore, India

·

On-site

·

Full-time

·

1w ago

Harness the power of data and artificial intelligence to accelerate change.

Come and work with a smart team of data scientists, data engineers, and experts in machine learning and AI.

Schneider AI HUB team is a global organization led by the Chief AI officer. AI Hub organization has a mandate to spearhead the AI-driven digital transformation of Schneider Electric.

Artificial intelligence is a confluence of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence.

Technologies like Machine Learning and Natural Language Processing are all part of the AI landscape.

Each one is evolving along its own path and, when applied in combination with data, analytics and automation, can help businesses achieve their goals, be it improving customer service or optimizing the supply chain.

As part of this AI Hub organization, we seek to hire an AI Solution Architect who is passionate about solving complex business & technical problems by applying various AI technologies.

Responsibilities Architect, position, design AI solutions which include components across Chatbots, Virtual Assistants, and Machine Learning Collaborate with peers across multiple technology disciplines ensuring AI platform and solutions deliver business and technical requirements Lead technical workshops in driving strategic initiatives, while developing and managing relationships both internal and external vendors Serve program teams to better understand their problems and goals, recommending possible solutions and building consensus around architecture Oversee and manage the full AI program life cycle implementations Assist, guide, and drive engineering teams by providing technical oversight during implementation and owning technical delivery Contribute digital thought leadership with AI-driven mindset to a larger tech community, be a change agent.

Ensure all architectural consideration and non-functional requirements around high availability, scalability, maintainability, and extensibilities are factored in in the core system.

Implement POC, sample use case, and core platform components for a highly scalable application.

Requirements and Skills Minimum 12 years’ experience architecting, designing, developing, and deploying enterprise AI solutions involving Advanced Analytics, Machine Learning and Data Science

Experience: with AI architecture and AI interface design covering diverse range of use cases and deployment models.

In-depth knowledge of components and architectural trade-offs across data management, governance, model building, and production workflows of AI is a must Understand the workflow and planning pipeline architectures of ML and deep learning frameworks, with data, training/retraining and deployment.

Strong experience practicing Software engineering and Dev Sec Ops principles, including knowledge of CI/CD workflows and tools (exposure to MLOps/MLFlow) Demonstrated expertise in modeling techniques with types of algorithms and development at least one of the following machine learning, deep learning, time-series, anomaly detection and prediction In-depth theoretical and practical knowledge in few select areas across AI cloud spectrum AWS AI/ML Services, MS Azure ML Services and Databricks Knowledge and ability to apply OOPS concepts, SOLID principles, and design patterns.

Experience: with Computer Science fundamentals in data structures, algorithms, and complexity analysis Hands on programming skills especially in Python.

Good Analytical skills.

Good knowledge of Generative AI & Agentic AI.

About Us Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives.

Our 144,000 employees thrive in more than 100 countries.

From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations.

Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.

Great people make Schneider Electric a great company.

We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners.

We want our employees to reflect the diversity of the communities in which we operate.

We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company.

We’re looking for people with a passion for success — on the job and beyond.

See what our people have to say about working for Schneider Electric Let us learn about you!

Apply today.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters.

At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success.

We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play.

It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations You must submit an online application to be considered for any position with us.

This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values.

We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value.

Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer.

It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Harness the power of data and artificial intelligence to accelerate change.

Come and work with a smart team of data scientists, data engineers, and experts in machine learning and AI.

Schneider AI HUB team is a global organization led by the Chief AI officer. AI Hub organization has a mandate to spearhead the AI-driven digital transformation of Schneider Electric.

Artificial intelligence is a confluence of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence.

Technologies like Machine Learning and Natural Language Processing are all part of the AI landscape.

Each one is evolving along its own path and, when applied in combination with data, analytics and automation, can help businesses achieve their goals, be it improving customer service or optimizing the supply chain.

As part of this AI Hub organization, we seek to hire an AI Solution Architect who is passionate about solving complex business & technical problems by applying various AI technologies.

Responsibilities Architect, position, design AI solutions which include components across Chatbots, Virtual Assistants, and Machine Learning Collaborate with peers across multiple technology disciplines ensuring AI platform and solutions deliver business and technical requirements Lead technical workshops in driving strategic initiatives, while developing and managing relationships both internal and external vendors Serve program teams to better understand their problems and goals, recommending possible solutions and building consensus around architecture Oversee and manage the full AI program life cycle implementations Assist, guide, and drive engineering teams by providing technical oversight during implementation and owning technical delivery Contribute digital thought leadership with AI-driven mindset to a larger tech community, be a change agent.

Ensure all architectural consideration and non-functional requirements around high availability, scalability, maintainability, and extensibilities are factored in in the core system.

Implement POC, sample use case, and core platform components for a highly scalable application.

Requirements and Skills Minimum 12 years’ experience architecting, designing, developing, and deploying enterprise AI solutions involving Advanced Analytics, Machine Learning and Data Science

Experience: with AI architecture and AI interface design covering diverse range of use cases and deployment models.

In-depth knowledge of components and architectural trade-offs across data management, governance, model building, and production workflows of AI is a must Understand the workflow and planning pipeline architectures of ML and deep learning frameworks, with data, training/retraining and deployment.

Strong experience practicing Software engineering and Dev Sec Ops principles, including knowledge of CI/CD workflows and tools (exposure to MLOps/MLFlow) Demonstrated expertise in modeling techniques with types of algorithms and development at least one of the following machine learning, deep learning, time-series, anomaly detection and prediction In-depth theoretical and practical knowledge in few select areas across AI cloud spectrum AWS AI/ML Services, MS Azure ML Services and Databricks Knowledge and ability to apply OOPS concepts, SOLID principles, and design patterns.

Experience: with Computer Science fundamentals in data structures, algorithms, and complexity analysis Hands on programming skills especially in Python.

Good Analytical skills.

Good knowledge of Generative AI & Agentic AI.

About Us Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives.

Our 144,000 employees thrive in more than 100 countries.

From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations.

Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.

Great people make Schneider Electric a great company.

We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners.

We want our employees to reflect the diversity of the communities in which we operate.

We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company.

We’re looking for people with a passion for success — on the job and beyond.

See what our people have to say about working for Schneider Electric
Let us learn about you!

Apply today.

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About Schneider Electric

Schneider Electric

Schneider Electric SE is a French multinational corporation that specializes in energy technology, covering electrification, automation, and digitalization for industry and homes.

10,001+

Employees

Rueil-Malmaison

Headquarters

Reviews

4.0

45 reviews

Work Life Balance

3.6

Compensation

4.3

Culture

4.2

Career

4.5

Management

3.5

84%

Recommend to a Friend

Pros

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Strong engineering culture with focus on code quality

Cons

Some legacy systems that need modernization

Work-life balance can be challenging during product launches

Fast-paced environment with tight deadlines

Salary Ranges

3 data points

Principal/L7

Senior/L5

Principal/L7 · Principal Data Scientist

0 reports

$211,000

total / year

Base

-

Stock

-

Bonus

-

$179,350

$242,650

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview Process

1

Application Review

2

Technical/Hiring Manager Interview

3

HR Screen

4

Final Interview Round

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit