AI Engineer

Responsibilities

Kforce has a client in Madison, WI that is seeking an AI Engineer. Key Responsibilities:
• In this role, the AI Engineer will work closely with data science, engineering teams, and Front Office staff to design and

implement AI solutions on Azure
• Develop and deploy containerized solutions for AI deployments utilizing GitLab CI/CD

pipelines
• Advise on best practices for building scalable, secure, and efficient AI solutions
• Initial focus will be delivering outcomes focused on retrieval-augmented generation

(RAG)
• Fine-tune existing large language models (LLMs)
• Leverage financial data to develop predictive models, risk models, and other solutions that

support investment decision-making
• Assist in optimizing Azure infrastructure for performance and cost efficiency
• Integrate AI models and tools into existing systems
• Provide strategic guidance on AI and machine learning
• The AI Engineer will mentor and coach internal staff, helping them build proficiency with Azure AI tools and best practices
• Lead training sessions and workshops to develop internal capabilities and foster a culture
• f continuous learning

Requirements
• Minimum of 3 years of experience in AI engineering, with a focus on the Azure ecosystem
• Previous experience in the asset management industry is required
• Proficiency in Python and other relevant programming languages for AI development
• Strong understanding of cloud architecture, data engineering, and containerization

technologies (e.g., Docker, Kubernetes)
• Experience in the full machine learning lifecycle, from data collection to model

deployment and monitoring
• Solid knowledge of financial markets, asset management, and financial data (e.g., time

series analysis, portfolio management, risk modeling)
• Excellent communication skills and the ability to explain complex technical concepts to

non-technical stakeholders
• Proven experience mentoring and coaching teams, with the ability to elevate the technical

skills of others

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.