Note: The job is a remote job and is open to candidates in USA. Dice is a global organization that delivers care aided by technology to help millions live healthier lives. As a Director of AI/ML Engineering, you will support the Accelerated Core Technology team by designing and deploying AI solutions, leading rapid prototyping, and driving enterprise-wide innovation in consumer-facing products.
Responsibilities
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
- Lead and hands-on build focused, rapid-exploration prototypes and pilot solutions that showcase new AI/ML technologies
- Use approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across the engineering team
- Evaluate emerging trends, specifically in Generative AI and Large Language Models (LLMs), to inform solution design and strategic innovation
- Strategically use AI to solve problems, unlock opportunities, and deliver tangible business value for consumer-facing products
- Integrate AI tools within the development lifecycle, set clear AI adoption goals, and align team capabilities while actively removing technical barriers
- Champion the ethical use of AI by embedding transparency, fairness, and accountability throughout the entire AI lifecycle
- Proactively shape how AI technologies are built, deployed, and utilized within the Consumer Engineering space, serving as a core driver of the team's success
- Collaborate closely with enterprise leadership and cross-functional teams to scale successful AI/ML pilots across the organization
Skills
- Master's degree in Computer Science, Mathematics, Statistics, or a related field
- 5+ years of professional experience working as a software, data, or AI/ML engineer
- 3+ years of experience designing, building, and deploying AI/ML models or AI-powered solutions in a production environment
- 2+ years of experience working with Generative AI frameworks and Large Language Models (LLMs) to build consumer-facing applications or products
- 2+ years of experience leading or managing engineering projects, setting technical direction, or guiding teams in adopting new technologies
- Proven experience working in agile, fast-paced environments with rapid prototyping, exploratory cycles, and managing ambiguity
- Demonstrated capability in piloting new ways of working and scaling pilot technologies to enterprise grade
- Proven solid understanding of cloud-based AI/ML infrastructure (e.g., Azure, AWS, Google Cloud Platform) and MLOps tools
- Proven solid leadership skills with the ability to champion the ethical and responsible use of AI across a broad team
- Proven excellent communication skills with the ability to explain complex technical AI/ML concepts to both technical and non-technical stakeholders
- Experience navigating ambiguity and driving clarity in exploratory, research-oriented technical tasks
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview