Corporate Recruiter

AD Mortgage•Troy, MI

44d•Onsite

About The Position

We are seeking an experienced AI Development and Implementation Team Lead to establish and develop an AI-focused IT team. This role requires a hands-on leader with a strong background in AI-driven process optimization. Experience with financial products is a huge plus. The successful candidate will drive the development and deployment of AI solutions that will improve efficiency, reduce risk, and enhance decision-making across the loan lending lifecycle.

Requirements

Proven experience leading a technical team, preferably in AI or advanced analytics.
Hands-on experience developing, implementing, and scaling AI/ML solutions in the context of financial services.
Familiarity with mortgage lending, loan servicing, or related financial products.
Strong understanding of data architecture, model deployment, and performance monitoring.
Excellent communication and leadership skills with the ability to work across departments.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred).
Experience with cloud AI platforms (AWS, Azure, GCP) and AI/ML frameworks (TensorFlow, PyTorch, etc.).
Knowledge of regulatory requirements impacting AI in financial services.
Demonstrated track record of successfully leading AI initiatives from concept to production.
Practical understanding of platforms and frameworks, such as Python, API OpenAI (GPT-4O), Anthropic (Claude 3.5), Google (Gemini), DeepSeek and etc.

Nice To Haves

Experience with financial products is a huge plus.

Responsibilities

Lead the creation and growth of the AI Development and Implementation team from the ground up.
Develop and oversee AI initiatives targeting loan origination, servicing, risk assessment, and operational efficiency.
Collaborate with cross-functional teams—including operations, finance, and compliance—to identify areas where AI can add measurable value.
Design, implement, and monitor AI models and solutions, ensuring alignment with regulatory and compliance requirements.
Mentor team members and foster a culture of innovation, accountability, and continuous improvement.
Evaluate emerging AI technologies and make recommendations for adoption.
Translate complex AI concepts into actionable business insights for senior leadership.