Lead System Architect

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    "ExternalDescriptionStr": "<p><strong>Why GM Financial Technology</strong><br><br>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.<br><br>Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.</p>",
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    "ExternalQualificationsStr": "<p><strong>What makes you an ideal candidate?</strong></p><p><strong>Architecture &amp; Feasibility</strong></p><ul><li>Assess current enterprise architecture and infrastructure readiness for Agentic AI</li><li>Perform fit-gap analysis between use case requirements and existing capabilities</li><li>Recommend architecture evolution strategies for AI enablement</li><li><p>Define scalable and modular Agentic AI reference architectures</p><p><strong>Agentic AI Expertise</strong></p></li><li>Design and evaluate systems involving:&nbsp;<ul style=\"list-style-type: circle;\"><li>Multi-agent orchestration and coordination</li><li>Tool use and API integrations</li><li>Memory management (short-term, long-term, vector stores)</li><li>Reasoning and planning workflows</li></ul></li><li><p>Ensure alignment with GenAI architecture patterns (RAG, prompt orchestration, fine-tuning strategies)</p><p><strong>Validation &amp; Observability</strong></p></li><li>Establish evaluation pipelines for model and agent performance</li><li>Define structured validation frameworks (accuracy, hallucination, reliability, safety)</li><li><p>Implement end-to-end observability, including:&nbsp;</p><ul style=\"list-style-type: circle;\"><li>Prompt and response tracing</li><li>Agent decision tracking</li><li>Performance metrics and alerting</li><li>Failure analysis and debugging workflows</li></ul><p>&nbsp;</p><p><strong>Production Deployment</strong></p></li><li>Design deployment strategies for enterprise-grade AI systems in Azure</li><li>Ensure scalability, resiliency, and performance optimization</li><li>Integrate with CI/CD pipelines and DevOps workflows</li><li><p>Address security, compliance, and data governance requirements</p><p><strong>Enterprise Collaboration</strong></p></li><li>Partner with system architects, AI engineers, platform teams, and business stakeholders</li><li>Translate complex AI concepts into clear architectural and business guidance</li><li><p>Drive alignment across teams and technology domains</p><p><strong>Technical Expertise</strong></p><p><strong>Agentic AI &amp; GenAI</strong></p></li><li>LLM-based systems, RAG architectures, prompt engineering</li><li>Agent frameworks and orchestration (multi-agent systems)</li><li>AI validation, benchmarking, and evaluation techniques</li><li><p>AI observability tools and frameworks</p><p><strong>Cloud &amp; Architecture</strong></p></li><li>Strong expertise in Microsoft Azure, including:&nbsp;<ul style=\"list-style-type: circle;\"><li>Azure OpenAI / AI services</li><li>Azure Functions, App Services, AKS</li><li>Azure Data Services (Cosmos DB, Azure SQL)</li><li>Observability tools (Log Analytics, Application Insights)</li></ul></li><li><p>Microservices, SOA, and distributed systems</p><p><strong>Modern Engineering Practices</strong></p></li><li>DevOps and CI/CD pipelines (Azure DevOps, Terraform, ARM)</li><li>Containerization (Docker, Kubernetes, AKS)</li><li><p>API management and integration patterns</p><p><strong>Core Competencies</strong></p></li><li>Strong analytical and systems thinking, especially for feasibility and capability assessment</li><li>Ability to bridge business requirements with technical architecture</li><li>Expertise in AI system lifecycle management (design → validate → deploy → monitor)</li><li>Exceptional communication skills across technical and non-technical audiences</li><li>Proven ability to influence without authority and drive cross-team alignment</li><li>Strong mentoring and leadership capabilities</li></ul><p>&nbsp;</p><p><strong>Experience</strong></p><ul><li>7-10 years of architecture experience required</li><li>Experience leading technical teams preferred</li><li>High School Diploma or equivalent required</li><li><p>Bachelor’s Degree in related field or equivalent work or military experience preferred</p><p>&nbsp;</p></li></ul><p><strong>What We Offer</strong>: 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.&nbsp;</p><p><strong>Our Culture</strong>: Our team members define and shape our culture. We have an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than. work — we thrive.&nbsp;</p><p><strong>Compensation</strong>: Competitive salary and bonus eligibility; this role is eligible for company vehicle program.&nbsp;</p><p><strong>Work Life Balance</strong>: Flexible hybrid work environment, 2-days a week in office.&nbsp;</p><p>&nbsp;</p>",
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