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.
ResponsibilitiesAbout the role:
Seeking a hands-on Principal Engineer to lead the strategy, design, and production deployment of agentic voice solutions using Genesys within a contact center environment. This role requires AWS expertise, Azure familiarity, telephony experience, and the ability to partner with vendors while building, scaling, and optimizing voice bot solutions for enterprise use. The Principal AI Engineer is also a hands‑on technical leader and thought partner who guides teams in designing, building, and delivering enterprise‑grade Generative AI solutions, including agentic systems, multi‑agent orchestration, and Retrieval‑Augmented Generation architectures. This role partners closely with product, enterprise architecture, security, and engineering leadership to ensure AI capabilities are scalable, reliable, compliant, and aligned with organizational standards. Success requires strong technical judgment, the ability to mentor and grow engineering talent, and a commitment to advancing responsible AI adoption across the enterprise.
In this role, you will:
Guide and grow an AI engineering team by fostering technical excellence, accountability, continuous learning, and strong architectural decision‑making; support hiring, onboarding, and skills development.
Design, build, and deliver production‑ready Generative AI solutions, including agentic and multi‑agent systems, RAG pipelines, orchestration frameworks, APIs, microservices, automated pipelines, and testing, with hands‑on contribution in Python, C#, or Java as needed.
Define and standardize AI architecture, patterns, libraries, and development practices, selecting and applying Agentic Voicebots, Telephony, etc.
Ensure AI solutions are secure, compliant, and responsible by embedding privacy, data governance, auditability, PII protection, risk mitigation, and model evaluation in collaboration with security, legal, compliance, and data governance teams.
Partner with product, architecture, and engineering stakeholders to drive aligned solution direction, predictable delivery, and organization‑wide adoption of AI best practices.
Drive innovation and thought leadership through continuous exploration of emerging Generative AI technologies, experimentation, proof‑of‑concepts, and internal knowledge sharing.
What makes You an ideal candidate?
- Expertise in software engineering that includes architecture, development, and testing experience.
- Experience in a leadership capacity with direct mentorship or owning end to end solution delivery.
- Proven experience delivering production Generative AI applications using agentic architectures, RAG, and orchestration frameworks.
- Strong proficiency in Python and additional experience with C# or Java.
- Familiarity with LangChain, LlamaIndex, or similar frameworks used for orchestration and agent-based systems.
- Experience designing microservices, APIs, automated deployment pipelines, and scalable distributed systems.
- Strong communication skills and the ability to explain and justify architectural decisions to technical and non-technical audiences.
Ability to craft clear deliverables such as presentations, using diagramming tools, reports and visual communication materials.
Additional Knowledge and Skills
- Working effectively within an AI enabled environment:
- Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
- Skills in evaluating AI outputs for accuracy, compliance, and bias
- Experience integrating AI into workflows to improve efficiency or insights
- Familiarity with AI assisted research, summarization, and content generation
- Understanding of responsible AI use, including ethics and data protection
Experience & Education
Greater than 10 years in software engineering required, 2+ years in Gen AI and/or Agentic AI preferred
3-5 years leading through mentorship in Gen AI and/or Agentic AI required
3-5 years leading projects and initiatives through influence required
High School Diploma or equivalent required
Bachelors Degree preferred
What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2 days a week in the office.
#GMFJobs #LI-Hybrid #LI-ST1
Skills Required
- Expertise in software engineering, including architecture, development, and testing
- Experience in a leadership capacity with direct mentorship or end-to-end solution delivery ownership
- Production experience delivering Generative AI applications using agentic architectures, RAG, and orchestration frameworks
- Strong proficiency in Python
- Experience with C# or Java
- Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks
- Experience designing microservices, APIs, automated deployment pipelines, and scalable distributed systems
- Strong communication skills for explaining architectural decisions to technical and non-technical audiences
- Ability to create presentations, diagrams, reports, and visual communication materials
- Ability to evaluate AI outputs for accuracy, compliance, and bias
- Understanding of responsible AI, ethics, and data protection
- More than 10 years of software engineering experience
- Three to five years leading through mentorship in Generative AI or Agentic AI
- Three to five years leading projects and initiatives through influence
- High school diploma or equivalent
- Two or more years of Generative AI or Agentic AI experience
- Bachelor's degree
GM Financial Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GM Financial and has not been reviewed or approved by GM Financial.
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Strong & Reliable Incentives — Annual and performance bonuses are described as meaningful additions to total compensation. In several functions, incentives reliably boost take-home pay when available.
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Leave & Time Off Breadth — Generous paid time off, corporate and floating holidays, and paid volunteer time are emphasized. Time-away programs contribute significantly to perceived total rewards.
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Parental & Family Support — Paid parental leave and family-friendly policies are highlighted, with recent expansions mentioned in some areas. Support for bonding time is seen as a notable strength of the package.
GM Financial Insights
What We Do
GM Financial is the captive finance company and the wholly owned subsidiary of General Motors and is headquartered in Fort Worth, Texas. The company is a global provider of auto finance solutions, with operations in North America, Latin America and China. Through our long-standing relationships with auto dealers, we offer attractive retail loan and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. GM Financial employs more than 9,000 hard-working team members, and we're always looking for new people with diverse talents. GM Financial is a workplace where dedicated people have the opportunity to work together and celebrate our successes. Our culture is based on respect, integrity, innovation and personal development. GM Financial is committed to strengthening the communities where we live and work. Each year, we select several philanthropic organizations to support through our Signature Events program. The company and its team members actively support these organizations through many company-wide initiatives; in addition we support numerous other nonprofit organizations through sponsorships and monetary donations.
