Artificial Intelligence Engineer

Job Description:

Are you the right candidate for this opportunity Make sure to read the full description below. 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. xsgimln Passion for detail, follow-through, and technical excellence.