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Job Description
Role: Senior AI Engineer Location: Remote - local preferred but not required Start Date: 9/28/2026 Salary: $125,000 - $165,000, plus 8% AIP eligibility
POSITION SUMMARY: The Senior AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross-functional teams across the organization. This position will focus on designing, developing, and developing machine learning (ML), artificial intelligence (AI), Generative AI (GenAI) and Agentic AI solutions. As a member of the AI Center of Excellence, this role will focus on addressing strategic AI needs across a wide range of business domains, contributing to scalable, high-impact solutions that accelerate innovation and improve outcomes. ACCOUNTABILITIES: Engineering: - Design, develop, and deploy production-grade traditional ML models (e.g., regression, classification, clustering, recommender systems) for a variety of business use cases.
- Design, build and operationalize Gen AI (such as Retrieval Augmented Generation) and emerging Agentic AI solutions to address domain specific needs, improve user experiences and automate business workflows.
- Design, maintain, and optimize end-to-end AI/ML pipelines including data ingestion, training, evaluation, deployment, and monitoring on cloud infrastructure (e.g., AWS or equivalent).
- Integrate cloud-native and third-party AI SaaS solutions to accelerate delivery and reduce time to value.
- Ensure AI/ML solutions are scalable, dependable, secure, and cost-effective within cloud environments.
- Create reusable components, frameworks, and best practices to accelerate AI development.
Design and Innovation: - Evaluating emerging AI technologies including GenAI and agentic AI (e.g., Model Context Protocol (MCP), Google’s Agent-to-Agent (A2A) protocol), as well as third-party low-code platforms) for their feasibility, scalability, and alignment with cross-functional business needs.
- Solve for business problems by applying novel techniques and Innovating thinking.
Collaboration: - The Senior AI/ML Engineer will partner with data scientists, architects, product managers, business stakeholders, and technical teams across the organization to ensure AI solutions align with organizational goals.
- Providing direct technical support and mentorship to technical teams across the enterprise is essential for enabling successful AI/ML implementations.
- Enabling other teams to adopt AI Into their products
- Leverage diverse skills and perspectives, leading to more effective problem-solving and decision-making.
- Other duties as assigned.
REQUIRED QUALIFICATIONS: Knowledge of: - Machine learning algorithms, deep learning frameworks, Cloud AI technologies, GenAI technologies and emerging Agentic AI technologies.
- Cloud platforms (e.g., AWS, Azure, GCP) for scalable AI/ML development.
- Responsible AI principles, including bias mitigation and ethical deployment.
- ML Ops best practices including CI/CD for ML, model monitoring, and versioning.
- Proficient in Python and common ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of data engineering, SQL, and feature engineering.
- Direct experience with cloud services such as AWS Sagemaker, Lambda, ECS, S3, and IAM.
- Familiarity with containerization (Docker) and orchestration (e.g., Airflow, Kubeflow).
- Working with version control and collaboration tools (Git, Jira, Confluence).
Ability to: - Build robust, scalable, and efficient AI/ML solutions in cloud-native environments.
- Translate ambiguous business problems into clear, technical ML/AI tasks.
- Communicate complex ideas clearly to technical and non-technical stakeholders.
- Learn and adapt quickly to emerging AI technologies, techniques, and tools.
Education and/or Experience: - A bachelor's degree in computer science, information technology, engineering, or a related field is required. However, equivalent related experience and/or education may be considered as a substitute for the degree requirement upon evaluation.
- 5+ years of experience designing and deploying ML/AI solutions in real-world environments.
- Or a combination of 8 or more years of experience of software development/engineering, of which three or more years are AI/ML experience.
- Proven experience with GenAI tools and technologies (e.g., LLMs, prompt engineering, Vector databases, RAG, fine-tuning)
PREFERRED QUALIFICATIONS: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration) - Master’s or PhD in a related technical field.
- Hands-on experience with agentic AI frameworks.
- Prior contributions to open-source AI/ML projects or published research.
- AI/ML certifications from cloud providers
- Experience in highly regulated industries (e.g., healthcare, finance) a plus.
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