Technical Principal - Gen AI Architect

GM Financial•Irving, TX

12h•Hybrid

About The Position

We are seeking a Principal Software Engineer with deep expertise in Generative AI to lead the design and architecture of next-generation AI applications. This is a hands-on, architecture-driven role for a seasoned technologist who thrives in regulated environments and is passionate about building secure, scalable, and intelligent systems. You will be responsible for working with cross functional teams to implement AI solutions using agentic patterns, multi-agent frameworks, Retrieval-Augmented Generation (RAG) architectures or SaaS solutions. You’ll also play a key role in evangelizing best AI architectural best practices and driving innovation across the organization.

Requirements

12+ years of experience in software engineering, including roles as a developer, architect, and test engineer
Proven experience building and deploying Generative AI applications in production
Proven knowledge of Gen AI Application Development Framework and Standard patterns
Deep understanding of agentic architectures, RAG, and multi-agent orchestration
Proficiency in Python (essential for GenAI) and strong experience in C# or Java
Demonstrated ability to influence in cross functional AI implementation stacks
Lead hands-on development and deployment of GenAI solutions, focusing on building complex systems using LLMs and orchestration frameworks such as Langchain and Llama Index
Design and implement microservices, REST APIs, and CI/CD pipelines
Architect and build scalable platforms, ideally with prior experience as a key contributor to organizational tools or systems
Experience with AWS Bedrock or Azure AI foundry, SF Agentforce
Engage in open source projects, technical blogging, or patent contributions to showcase thought leadership in the GenAI engineering space
Experience working in regulated environments (e.g., finance, healthcare), with a strong grasp of data privacy, governance, and compliance
Familiarity with evaluation frameworks for LLMs and AI systems
Strong communication skills with the ability to evangelize and justify architectural decisions
Demonstrate strong proficiency in managing and presenting information, including advanced Excel formulas, PowerPoint animations, graphic design, and SharePoint page curation
Create engaging videos, organize clear calendar events, and develop visually appealing newsletters, reports, and Agile boards to support team communication and project tracking
Exhibit a proactive, “can-do” attitude toward a broad range of information management and communication tasks, going beyond traditional engineering responsibilities
Naturally curious and actively explores new ideas, technologies, and industry trends with a learning mindset
Greater than 10 years in related function required
3-5 years leading through mentorship in related field required
3-5 years leading projects and initiatives through influence required
High School Diploma or equivalent required
Associate Degree or High School Equivalent plus 2 additional years of related experience required

Nice To Haves

Experience with Open AI, LangChain, AI vendor implementations
Familiarity with cloud-native AI development and MLOps practices
Contributions to open-source AI projects or published research in the field

Responsibilities

Architect and build production-grade Generative AI applications using modern agentic and multi-agent design patterns.
Collaborate with cross functional teams to set architecture standards & guidelines for AI implementations in conjunction with existing enterprise architecture standards
Design and implement reusable working AI patterns for enterprise use
Ensure AI systems meet privacy, governance, and compliance standards, especially in highly regulated industries such as finance.
Evaluate and select appropriate GenAI platforms (e.g., Azure AI Foundry, Databricks Mosaic AI) based on project needs.
Lead architectural reviews and influence enterprise-wide technology decisions.
Mentor engineers and promote a culture of innovation, quality, and accountability.
Stay current with emerging AI technologies, evaluation frameworks, and industry trends.

Benefits

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.
Competitive pay and bonus eligibility
Flexible hybrid work environment, 2-days a week in office

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