Job Summary:

As a Solution Architect Emerson, you will be responsible for designing and guiding the implementation of scalable, high-performance AI/ML architectures. You will work closely with developers, data scientists, engineers, and other customers to ensure that our AI/ML solutions meet business needs and technological standards.

In this Role, Your Responsibilities Will Be:

• Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions.
• Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration.
• Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance.
• Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance.
• Work with multi-functional teams, including developers, data scientists, machine learning engineers, and business customers, to understand requirements and design solutions that align with business objectives.
• Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and standard processes.
• Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective
• Ensure that AI/ML systems stay in sync with security standards and regulatory requirements. Implement standard processes for data privacy and protection.

Who You Are:

You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.

For This Role, You Will Need:

• Bachelor's degree or equivalent experience in computer science, Data Science, Statistics, master's degree or equivalent experienced or a master's degree or higher is preferred.
• Total 10-15 years of proven experience
• More than proven experience in designing and implementing AI/ML architectures, with a consistent record of successful projects.
• Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools.
• Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing.
• Experience with Microsoft Azure cloud services and their AI/ML offerings
• Experience with event-handling systems such as Kafka
• Proficiency in data technologies and data engineering practices.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical customers.

Preferred Qualifications that Set You Apart:

• Prior experience in development of products is crucial.
• Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have
• Experience with AI/ML model versioning and life cycle management.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Knowledge of AI ethics and responsible AI practices.
• Constantly strive to learn new technologies and look for ways to stay up to date in this rapidly changing industry.

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.