Lead AI Engineer
guardian life insuranceHolmdel (NJ)
Lead AI Engineer
Posted today
guardian life insuranceHolmdel (NJ)
SENIORITY
Lead
About the role
Overview:
In this role you will architect and deliver enterprise-scale Agentic AI solutions using LLMs, RAG, and secure APIs to automate business processes and enhance decision-making. You will collaborate across data science, software engineering, infrastructure, product, and business teams to drive measurable value while ensuring security and governance. You will evaluate emerging AI technologies, contribute to the enterprise AI roadmap, and mentor junior engineers. You will lead design, implementation, and deployment across multiple teams and maintain alignment with enterprise standards.
Responsibilities:
Implement and test complex code changes for specific requirements, applications, and standalone programs. Integrate product features with awareness of design, market trends, adoption, and competition. Define, influence, and track metrics that measure solution success and adoption. Lead delivery of high-quality solutions and identify opportunities for multiple products to work together to create customer value. Lead solution design and implementation for projects spanning multiple teams and influence the software engineering roadmap. Implement security practices and tools throughout the software development process, including vulnerability scanning, secure coding, and continuous security testing. Manage architecture and design content, solution integrity, quality, and delivery, while contributing to cloud-based technology processes, standards, and methodologies. Maintain awareness of industry trends and use them to inform business and technology decisions. Mentor peers, junior engineers, and engineering interns; encourage knowledge sharing through demos, design sessions, and similar forums. Partner with senior stakeholders across delivery teams, partner functions, and external teams. Participate in client meetings to identify gaps and requirements, communicate a technical point of view, and shape future roadmaps and plans. Provide expertise in software development lifecycle practices and agile engineering strategies across teams and partners. Provide technical leadership for medium-to-high-complexity features and projects from technical design through completion. Understand business context and goals and tailor technical engagement to achieve business needs.
Key requirements:
Expertise in software engineering practices and agile engineering strategies across teams. Technical leadership for complex features and projects from design to completion. Ability to collaborate across data science, software engineering, infrastructure, product, and business teams. Knowledge of enterprise security, governance, and compliance requirements. Experience architecting and deploying enterprise-scale AI solutions using LLMs, RAG, model orchestration, Agentic frameworks, and secure APIs. Strong understanding of cloud infrastructure and distributed systems. Mentorship and coaching Strong cross-functional collaboration Strategic thinking and business context awareness LLMs (large language models) Retrieval-augmented generation (RAG) pipelines Model orchestration frameworks
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