Artificial Intelligence Engineer

Job Description:

• Candidates will lead to the development and deployment of innovative AI and machine learning solutions.
• Candidates will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance.
• Candidates will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning.
• Expert in at least one technology and design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs (e.g., Expert Engineers) starting to be firm-wide resources working on projects across client.
• Is multi-skilled with expertise across software development lifecycle and toolset.
• May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
• Sought out as coach for at least one technical skill.
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security.
• Stays abreast of cutting-edge technologies/trends and uses experience to influence application of those technologies/trends to support the business; may give speeches and outside the firm, writes articles.

Required Qualifications, Capabilities, and Skills:

• Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
• Deep understanding of prompt engineering, agentic workflows, and orchestration frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
• Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
• Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
• Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.
• Experience in applying data science and ML techniques to solve business problems.
• Passion for detail, follow-through, and technical excellence.