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.
Location: Irving, TX
Work Arrangement: Hybrid – 2 days onsite, 3 days remote per week
Sponsorship Notice: At this time, we are unable to offer employment sponsorship for this position. This includes, but is not limited to, H-1B, TN, L1, and OPT visa types.
ResponsibilitiesAbout the role:
The Senior AI Engineer is a hands‑on technical expert responsible for designing, building, and delivering enterprise‑grade Generative AI capabilities. In this role, you will work across agentic systems, multi‑agent orchestration, Retrieval‑Augmented Generation (RAG) architectures, and modern cloud‑based AI platforms. This role requires strong engineering judgment, fluency in modern AI development patterns, and the ability to collaborate effectively with product, architecture, and platform teams to deliver scalable, compliant, and resilient AI solutions.
In this role, you will:
- 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.
- Define and standardize AI architecture, patterns, libraries, and development practices, selecting and applying cloud AI solutions aligned with enterprise technology strategy.
- 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.
- Promote engineering excellence with a production‑first mindset focused on resilience, observability, and operational readiness.
Qualifications
What makes you a dream candidate?
- Deep expertise in software engineering, including architecture, development, and testing.
- Proven experience delivering production Generative AI applications using agentic architectures, RAG, and orchestration frameworks.
- Strong proficiency in Python, with additional experience in C# or Java.
- Familiarity with LangChain, LlamaIndex, or similar agent and orchestration frameworks.
- Experience designing microservices, APIs, automated deployment pipelines, and scalable distributed systems.
- Strong communication skills with the ability to explain and justify technical decisions to technical and non‑technical audiences.
- Ability to craft clear deliverables such as diagrams, architecture documents, and other communication materials.
- Proactive mindset with strong ownership of engineering tasks and information‑management responsibilities.
Experience:
- 4-6 years of software engineering experience required
- Experience leading technical initiatives or mentoring peers through influence
- High school diploma or equivalent expirience required
- Experience with OpenAI, Azure OpenAI, LangChain, and vendor‑specific GenAI implementation patterns preferred
- Familiarity with cloud‑native AI development preferred
- Professional certifications in Generative or Agentic AI preferred
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 with AI assisted software development or automation
- Knowledge of prompting techniques to improve output quality
- Awareness of emerging GenAI capabilities and limitations
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: Hybrid work environment, 2-days a week in office.
Skills Required
- 4-6 years of software engineering experience
- Proven experience delivering production Generative AI applications using agentic architectures, RAG, and orchestration frameworks
- Strong proficiency in Python
- Experience in C# or Java
- Experience designing microservices, APIs, automated deployment pipelines, and scalable distributed systems
- Experience leading technical initiatives or mentoring peers
- High school diploma or equivalent
- Strong communication skills and ability to produce diagrams and architecture documents
- Familiarity with LangChain, LlamaIndex, or similar agent and orchestration frameworks
- Experience with OpenAI, Azure OpenAI, and vendor-specific GenAI implementation patterns
- Familiarity with cloud-native AI development
- Professional certifications in Generative or Agentic AI
- Ability to use AI tools (e.g., Microsoft Copilot) and evaluate AI outputs for accuracy, compliance, and bias
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.
