Software Development Engineer III - GenAI

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.

About 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.