
AI Engineer
Posted Sep 16

Posted Sep 16
This is a fully remote position, open to applicants in Texas.
• Take charge of the vision, roadmap, and backlog for internal AI products and solutions.
• Spearhead the deployment of AI, automation, and Generative AI solutions for Enterprise Platforms.
• Develop agentic workflows, prompt engineering and evaluation pipelines, an agent orchestration layer, LLM gateway integration, RAG pipelines, as well as model evaluation and monitoring.
• Identify and prioritize AI use cases that yield measurable business value.
• Collaborate with the AI Council and business stakeholders to gather requirements and define product features.
• Work closely with architects, developers, data engineers, and business teams.
• Track solution performance, usage, and business outcomes.
• Ensure that AI solutions adhere to security, privacy, and governance standards.
• Assess emerging AI technologies and recommend future capabilities.
• A Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• Over 5 years of experience in technology, product management, business systems, AI, or digital transformation.
• Proven experience in building Enterprise AI platforms and agentic workflows.
• Strong grasp of Agile methodologies and product ownership practices.
• Exceptional stakeholder management and communication skills.
• Experience with agentic workflows and frameworks like LangChain, LlamaIndex, or similar technologies.
• Familiarity with Azure AI Services, Azure OpenAI, Anthropic, and others.
• Knowledge of RAG pipelines and Graphs.
• Understanding of product ownership and roadmap management.
• Insight into business process automation, requirements gathering, change management, stakeholder engagement, and Agile project delivery.
• An opportunity to shape the future of work through enterprise AI initiatives.
• A chance to influence the organization's AI strategy.
Alzheimer's Association®
Capital One
Capital One
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