- Vereinigte Staaten von Amerika
AI Architect-Siemens Advanta
AI Architect-Siemens Advanta
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?
Transform the everyday with us!
Siemens ADVANTA is seeking an exceptional leader to drive our artificial intelligence and machine learning practice with a focus on Industrial applications. You will be responsible for designing robust and scalable AI/ML systems, evaluating and selecting AI technologies, designing data infrastructure and overseeing the implementation and ongoing performance of AI solutions. You will collaborate with technical and business teams to ensure solutions are scalable, reliable and align with organizational strategies.
We are looking for an AI Architect for Siemens Advanta. This position will be located remotely within the US.
You’ll make an impact by:
The AI Architect has the following broad responsibilities in both internal as well as customer environments:
- Design and oversee the implementation of scalable, robust AI/ML infrastructure and platforms
- Research, evaluate, and recommend emerging AI technologies, frameworks, and methodologies
- Establish ML engineering standards, model governance frameworks, and ethical AI guidelines
- Build re-usable building blocks and software components for end-to-end AI/ML pipelines following agile methodologies
- Collaborate with data engineering teams to ensure high-quality data pipelines and governance
- Implement robust testing, monitoring, and validation frameworks for ML systems
- Perform assessment of deployed models and improve the models to meet customer requirements in terms of accuracy, latency and throughput
- Provide guidance on AI best practices and ensure alignment with industry trends and company goals.
You’ll win us over by having the following qualifications:
Basic Qualifications:
- Masters degree in computer science, mathematics, physics, engineering, or a related technical field
- 5+ years’ experience in designing, training, and deployment of AI/ML models in a production environment
- 5+ years’ experience in supervised/unsupervised learning, deep learning, and statistical modeling
- 5+ years’ experience with generative models, including Large Language Models (LLMs), diffusion models, GANs, VAEs, and multimodal AI systems
- Proficiency in Python, R, SQL, and familiarity with languages like Java or Scala
- 5+ years’ experience with TensorFlow, PyTorch, scikit-learn, and other AI/ML frameworks
- 5+ years’ experience with hands-on experience with AWS, Google Cloud, or Azure ML services and infrastructure
- 5+ years’ experience with model deployment, monitoring, and lifecycle management tools
- 5+ years’ experience translating business requirements into technical solutions and roadmaps
- Authorized to work in the US without the need for sponsorship now or in the future
Preferred Qualifications:
- PhD preferred
- Experience with real-time ML systems
- Knowledge with natural language processing, computer vision, recommendation systems, or other AI domains
- Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical partners/customers
- Experience managing complex, multi-disciplinary projects with cross-functional teams
- Demonstrated ability to lead, mentor, and develop high-performing technical teams
- Knowledge of AI ethics, fairness, and responsible AI practices
- Prior experience in a high-growth technology company
- Understanding of regulatory compliance in AI (GDPR, CCPA, industry-specific regulations)
- Experience with A/B testing and experimental design
- IT/OT Architecture Knowledge
- Edge Computing Knowledge
You’ll benefit from:
- Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
- The pay range for this position is $112,669-$193,147 and the annual target incentive is 15% of the annual salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
About Siemens:
We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with the purpose of adding real value for customers. Learn more about Siemens here.
Our Commitment to Equity and Inclusion in our Diverse Global Workforce:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
#LI-JE1
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $112,669 - $193,457 annually with a target incentive of 15% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
EEO is the Law
Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.
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