Senior AI Engineer

What you will do

• Lead moderately complex initiatives and deliverables in technical engineering environments
• Contribute to large scale planning of strategies across Consumer Technology
• Design, code, test, debug, and document AI applications and services, including upgrades and deployments
• Review technical challenges requiring in depth evaluation of technologies, procedures, and engineering approaches
• Resolve moderately complex issues and help teams meet existing and emerging business needs
• Collaborate with peers, colleagues, and mid-level managers to achieve project goals
• Lead projects and serve as an escalation point, providing direction to less experienced engineers
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, and agent frameworks
• Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
• Integrate LLM models with enterprise systems and ensure AI solutions align with governance, security, and compliance standards
• Troubleshoot complex application and model related issues and drive continuous improvement of AI systems
• Assist and mentor engineers in advanced software development and AI engineering practices
• Stay current on advances in AI, LLMs, and agent frameworks, applying relevant updates to products and systems

What you bring

• Authorization to work for ANY employer in the U.S.; not eligible for visa sponsorship
• Understanding of cloud security principles, including identity and access management, encryption, and network security in public or hybrid cloud environments
• Experience working in highly regulated industries such as financial services
• Experience as a technical lead or architect, including mentoring senior engineers
• Experience integrating or contributing to open-source AI or ML projects
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams

Tools and technologies involved

• Identity and access management, encryption, network security
• Enterprise APIs, enterprise systems, vector databases
• LLMs and AI frameworks, prompt engineering, retrieval augmented generation, fine tuning
• OpenAI, Anthropic, Google Gemini
• Power Platform (Power Apps, Dataverse), UiPath
• Elasticsearch, OpenSearch, Pinecone, Weaviate
• ML lifecycle tools, feature stores, model registries
• CI/CD pipelines for AI services
• Observability and monitoring

Preferred experience

• Power Platform experience, including Power Apps and Dataverse
• UiPath or other enterprise automation tools
• LLM development experience using OpenAI, Anthropic, or Google Gemini models
• Agentic frameworks and AI workflow orchestration experience
• Experience designing applications with retrieval augmented generation, fine tuning, and structured prompting
• Vector database and retrieval systems experience such as Elasticsearch, OpenSearch, Pinecone, or Weaviate
• LLM evaluation, observability, and monitoring including latency, cost, accuracy, grounding, drift detection, and safety assessments
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services
• Familiarity with responsible AI principles, compliance, and governance processes in regulated environments
• Experience optimizing AI application performance including prompt efficiency, model selection, caching, batching, and cost management

Benefits (contract)

• Health Insurance
• Life insurance
• 401K
• Voluntary Benefits