Senior Technical Principal - AI Implementation

JOB DESCRIPTION

Why GM Financial Technology

Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

RESPONSIBILITIES

About the role:

As a technical leader and subject matter expert in Generative and Agentic AI, the Leader will play a pivotal role in driving strategic alignment and delivering measurable business value through AI innovation. This individual will collaborate closely with business and technology leaders to partner in implementing high-impact AI initiatives that accelerate the organization's strategic objectives.

The Senior Principal is expected to be a dynamic, forward-thinking innovator who champions the adoption of advanced AI technologies and methodologies. Acting as a catalyst for transformation, this role will promote process optimization and automation to enhance productivity, scalability, and performance across the enterprise.

• Lead the execution of GMF's AI product strategy, aligning with enterprise priorities and delivering AI-powered solutions across servicing, originations, collections, and other GMF businesses across the organization
• Drive the deployment of Generative and Agentic AI capabilities, including autonomous agents, multi-agent orchestration, and other Agentic technologies
• Coordinate with the AI Strategy & Development Team to operationalize approved solution
• Translate advanced AI capabilities into intuitive workflows that enhance decision-making and customer experience
• Deep understanding of IT architectural patterns and enterprise systems in order to understand technological limitations and potential pitfalls
• Partner with Data Science, Digital/CX, IT, Compliance, and Cybersecurity teams to deliver scalable, secure, and high-impact solutions
• Ensure alignment with GMF's enterprise architecture and governance frameworks
• Ensure all AI solutions comply with GMF's Acceptable Use Policy, privacy standards, and regulatory requirements
• Collaborate with Legal, Cyber, and Privacy teams to define guardrails and monitor AI performance
• Capture success metrics as defined by the AI Implementation Team and monitor product performance through dashboards, A/B testing, and executive reporting
• Coordinate with analytics teams for real-time feedback loops
• Experience with leading cross-functional and/or global initiatives from start to finish
• Hands-on experience with Generative AI platforms (e.g., OpenAI, Claude, LLaMA) and working knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, MCP)
• In-depth understanding of company values, mission, vision and strategic direction
• Understanding of IT architectural patterns, system integration, and enterprise technology stacks
• Familiarity with RESTful APIs, microservices, and best practices for secure and scalable API design
• Awareness of data flow, security, and compliance considerations in system implementations
• Advanced relationship management skills and ability to influence others to achieve results by working across the business unit, being open to ideas and actively engaging and influencing others
• Proven ability to build and launch products in partnership with technical (Data Science, IT) and non-technical (Compliance, Legal, CX) stakeholders
• Strong analytical thinking, communication, and stakeholder management
• Ability to synthesize feedback from technical teams, executive sponsors, and third-parties as needed
• Ability to maintain and grow strong working relationships and build trust with peers, cross-functional partners and related professional organizations
• Demonstrated ability to make smart decisions with a strong sense of urgency to accelerate continuous progression
• Comfortable operating in fast-paced, ambiguous, and collaborative environments. Experience managing concurrent initiatives and agile workstreams is a plus

• Master's degree in in relevant field of study or additional years of relevant experience
• 12+ years in AI/ML experience
• 5-7 years leading through mentorship in related field
• 5-7 driving thought leadership and innovation across products