Senior GenAI Engineer — Production-Ready AI, Hybrid

Aimlroles; Irving (TX); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

401K matching

Bonding leave (12 weeks)

Tuition assistance

GM employee discount

Community service pay

Nine company holidays

Job summary

GM Financial Technology is seeking a Senior AI Engineer to design, build, and deploy enterprise-grade Generative AI capabilities in a hybrid Irving, TX environment. You will work across agentic systems, RAG pipelines, and cloud AI platforms with hands-on coding in Python, C#, or Java.

You will define AI architecture, ensure security and governance, and partner with product, architecture, and platform teams to drive scalable solutions and best practices while exploring new GenAI technologies and

Qualifications

• 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.

Responsibilities

• 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.

Skills

Software engineering

GenAI applications

Python

C# or Java

LangChain / LlamaIndex

Microservices & APIs

Communication skills

Documentation / architecture

Ownership / proactive mindset

Education

High school diploma or equivalent

Tools

OpenAI

Azure OpenAI

LangChain

Job description

GM Financial Technology is seeking a Senior AI Engineer to design, build, and deploy enterprise-grade Generative AI capabilities in a hybrid Irving, TX environment. You will work across agentic systems, RAG pipelines, and cloud AI platforms with hands-on coding in Python, C#, or Java.

You will define AI architecture, ensure security and governance, and partner with product, architecture, and platform teams to drive scalable solutions and best practices while exploring new GenAI technologies and