Join a dynamic AI Center of Excellence as a Senior AI Engineer, where you will help design and deliver innovative machine learning, generative AI, and agentic AI solutions that improve business outcomes and accelerate transformation. This remote opportunity offers the chance to work across teams, build scalable cloud-native AI systems, and help shape responsible AI practices in a collaborative, mission-driven environment.

Responsibilities

• Design, develop, deploy, and support production-ready machine learning models for a range of business use cases.
• Build and operationalize generative AI solutions, including retrieval-augmented generation, and explore emerging agentic AI approaches.
• Develop and maintain end-to-end AI/ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring in cloud environments.
• Integrate cloud-native and third-party AI services to improve delivery speed and business value.
• Ensure AI solutions are secure, scalable, dependable, and cost-conscious.
• Create reusable tools, frameworks, and best practices to support and accelerate AI development across teams.
• Evaluate new AI technologies and platforms for feasibility, scalability, and alignment with business needs.
• Collaborate with data scientists, architects, product managers, and stakeholders to translate business needs into effective AI solutions.
• Provide technical guidance and mentorship to help other teams adopt AI capabilities in their products and workflows.

Skills

• Strong experience designing and deploying AI/ML solutions in real-world environments.
• Proficiency in Python and common ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of machine learning algorithms, deep learning concepts, and generative AI techniques.
• Hands-on experience with cloud platforms and cloud AI services for scalable development and deployment.
• Working knowledge of data engineering, SQL, and feature engineering.
• Experience with ML Ops practices, including CI/CD, model monitoring, and version control.
• Familiarity with containerization and orchestration tools in cloud-native environments.
• Ability to turn ambiguous business challenges into clear technical solutions.
• Strong communication skills for collaborating with both technical and non-technical partners.

Preferred Skills

• Experience with agentic AI frameworks or related emerging AI technologies.
• Familiarity with AWS services such as SageMaker, Lambda, ECS, S3, and IAM.
• Experience with Docker, Airflow, Kubeflow, Git, Jira, and Confluence.
• Knowledge of responsible AI practices, including bias mitigation and ethical deployment.
• Background working in regulated industries such as healthcare or finance.
• Advanced degree in a technical field.
• AI/ML certifications from cloud providers.
• Contributions to open-source AI/ML work or published research.

We are committed to fostering an inclusive workplace where diverse backgrounds, perspectives, and experiences are valued and respected. We welcome candidates who share a passion for collaboration, innovation, and creating equitable solutions that make a meaningful impact.