AI Engineer (AI Agents)

Role - AI Engineer (AI Agents)

Location: Remote (USA/CANADA)

Duration: Long Term

As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization's transformation strategies by designing and developing domain-specific AI agents and solutions. Prototyping, iterating, and taking these solutions to production, you serve as the technical complement to the business side of the AI Solutions Lead. Your work will involve close collaboration with transformation teams, business stakeholders, and AI platform teams to create scalable, cross-domain AI solutions that deliver actionable insights and perform intelligent tasks.

Responsibilities

AI Development (40%)

• Prototyping, iterating, and taking to production domain-specific AI agents that can communicate and work with other AI agents, performing tasks such as information gathering, insight generation, and intelligent actions.
• Writing and optimizing code for high-performance AI models.
• Develop an actionable Generative AI roadmap and drive solution development using Gen-AI and Agentic AI capabilities.

Collaboration with Teams (20%)

• Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains.
• Work closely with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability.

Integration & Deployment (20%)

• Lead AI projects, demonstrating hands-on experience in code development and software engineering.
• Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance. Continuous Learning (20%)
• Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents.
• Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions.
• Decision-Making Autonomy Moderate - Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager.
• Supervision Required Moderate - Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support.
• Complexity of Role High - The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability.
• Cross-Functional Interactions Yes - Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment.

YOU'LL ACCOMPLISH THESE GOALS BY:

• Partner with AI leadership to help bring Ulta Beauty's AI and ML capabilities to life through input on the AI/ML CoE roadmap and being a leader on the team of AI engineers
• Lead the design, map out, and implementation of ML solutions to complex business problems
• Collaborate with product managers, data engineers, and other stakeholders to align AI initiatives with business goals

Architect and implement scalable AI systems

• Mentor a dynamic team of more junior AI engineers and Data Scientists, conduct code reviews and ensure best practices in AI development
• Provide guidance on data science best practices to leaders across the enterprise.
• Evaluate and recommend AI technologies, frameworks, and tools to maintain cutting-edge capabilities
• Drive experimentation and innovation by staying updated with the latest research in AI, ML, and deep learning
• Ensure ethical AI development and compliance with data privacy regulations
• Engage with business partners to hash out project needs and define project requirements
• Advise on emerging areas of technology and AI
• Present technical results

ESSENTIALS FOR SUCCESS:

• Masters / PhD degree in Computer Science, Mathematics, Physics, Statistics or other quantitative field.
• At least 5-7 years' experience working in data science, machine learning or AI with demonstrated exceptional performance and career progression.
• Ability to work cross-functionally to understand business goals and communicate solutions that meet the business objectives.
• Production-quality OoP (Python, C++, etc), proficiency in relevant frameworks (scikit learn, TensorFlow, etc).
• Experience with cloud computing platforms (Google Cloud, Azure, and AWS).
• Solid understanding of data structures, algorithms and software engineering principals
• Hands-on experience building ML solutions from inception to launch
• Proven track record of deploying AI models in production environments
• A passion for broadening your technical skills and diving into unknown problems.
• Travel may be required (team collaboration / conferences / vendor meetings).