AI Solution Architect

Job Description

What will you do

- Architect end-to-end AI/ML deployment solutions focusing on AWS services such as S3, Redshift, SageMaker, Bedrock, Lambda, and IAM, ensuring best practices in security, compliance, and scalability.
- Design and integrate data lakes, structured databases, and ML pipelines leveraging Databricks architecture for smooth data processing and AI workload orchestration.
- Lead solution design and orchestration for RPA and GenAI systems, incorporating conversational and agentic AI platforms like Copilot Studio, Agentforce, and Sierra.
- Drive architectural decisions, review technical approaches, and provide leadership to development teams on experimentation, prototyping, and solution delivery.
- Manage model development, deployment, and lifecycle on platforms such as SageMaker and Bedrock, implementing MLOps best practices.
- Implement end-to-end automation of ML pipelines with SageMaker and Databricks workflows, integrating models into scalable, cloud-native services.
- Utilize Kubernetes and container orchestration for scalable AI deployment alongside infrastructure as code tools such as Terraform and CloudFormation.
- Establish advanced monitoring, logging, and performance optimization for AI workloads, promoting high availability and reliability.
- Collaborate with business stakeholders to prioritize AI use cases and ensure architectural alignment with strategic objectives.
- Oversee data ingestion, transformation, and governance workflows to maintain data privacy, quality, and accessibility for AI and RPA workloads.
- Define and implement CI/CD pipelines tailored for AI/ML deployments, ensuring seamless and automated delivery cycles.
- Stay current on emerging AI technologies, especially in Generative AI and LLM domains, and drive integration of innovative solutions with existing platforms.
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What skills and capabilities will make you successful

- 8-10 years of hands-on solutions architecture experience, with significant focus on AI/ML cloud-native architectures and deployments.
- Deep expertise in core AWS services: S3, Redshift, SageMaker, Bedrock, Lambda, IAM, and associated AI services (Comprehend, Rekognition, Lex, Polly, Textract).
- Proven experience architecting data lakes, ETL pipelines, and managing data engineering workflows (AWS S3, Redshift, Databricks).
- Proficiency in advanced Python programming, Jupyter Notebooks, and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
- Experience designing and deploying scalable ML models and pipelines, with strong knowledge of MLOps best practices including automation, containerization, and deployment.
- Expertise with Databricks architecture and integration within ML and AI ecosystems.
- Solid understanding of Kubernetes for container orchestration and infrastructure automation using Terraform or CloudFormation.
- Familiarity with conversational AI, agentic AI platforms, and Generative AI workflows, including LLMs and Bedrock.
- Skilled in API design, system integration, and security best practices governing data privacy and compliance.
- Strong business acumen with the ability to translate technical solutions into business value and prioritize use cases accordingly.
- Experience leading technical teams and cross-functional collaboration to drive AI projects from concept through deployment.
- Excellent communication skills and stakeholder management capabilities in Agile environments.

What qualifications will make you successful for this role

- - Educational Qualifications:

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.

- Preferred Certifications:

- AWS Certified Solutions Architect - Professional

- AWS Certified Machine Learning - Specialty

- Certified Kubernetes Administrator (CKA) or equivalent

- Terraform Associate or equivalent Infrastructure as Code certifications

- Certified Artificial Intelligence Practitioner (CAIP) or similar AI certifications

- Relevant RPA certifications (UiPath, Blue Prism) a plus

Let us learn about you Apply today.

You must submit an online application to be considered for any position with us. This position will be posted until filled.

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.