# AI Applied Engineering Technical Leader **Company**: Humana Inc. **Location**: New York, NY **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $206,600 - $284,300 per year **Category**: Engineering **Industry**: Healthcare **Apply**: https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/New-York-NY/Principal-AI-Applied-Engineer_R-425553?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_c16a3880-4f0 ## Description We are seeking a highly experienced AI Applied Engineering Technical Leader to shape the long-term AI architecture and engineering direction for a large enterprise healthcare organization. Responsibilities: - Define and drive the long-term technical strategy, reference architecture, and technology roadmap for AI-enabled products and platforms. - Establish architectural patterns and best practices for retrieval systems, LLM orchestration, agentic workflows, human-in-the-loop processes, evaluation frameworks, and AI governance. - Lead organization-wide technical decision-making regarding model strategy, vendor selection, platform investments, build-versus-buy decisions, and shared infrastructure capabilities. - Design and champion scalable architectures that balance reliability, performance, security, compliance, maintainability, and cost efficiency. - Establish engineering standards for evaluation, observability, model lifecycle management, responsible AI practices, and operational excellence. - Build prototypes, proofs of concept, and reference implementations that de-risk emerging technologies and strategic platform investments. - Lead cross-functional architecture reviews and provide technical guidance across multiple engineering teams. - Mentor Lead Engineers, Senior Engineers, and emerging technical leaders through architecture reviews, design feedback, coaching, and technical sponsorship. - Develop and communicate technical roadmaps aligned with business strategy and organizational objectives. - Partner with executive leadership to translate business priorities into technical strategies and communicate technical opportunities, risks, and tradeoffs. - Represent engineering in strategic vendor evaluations, compliance discussions, governance reviews, and enterprise planning initiatives. - Drive adoption of common platforms, standards, and engineering practices across teams. - Ensure AI systems are designed and operated in accordance with privacy, security, compliance, governance, and auditability requirements. Requirements: - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 12+ years of software engineering experience, including extensive experience designing and operating large-scale distributed systems. - Proven track record of designing, delivering, and operating production AI-enabled platforms or products at enterprise scale. - Deep expertise in large language model technologies, AI platform design, retrieval-augmented generation (RAG), agentic systems, orchestration frameworks, evaluation methodologies, and AI operations. - Extensive experience designing cloud-native architectures and highly scalable, resilient systems. - Demonstrated ability to define technical direction that influenced teams, organizations, or product portfolios beyond direct reporting relationships. - Experience establishing engineering standards, architectural frameworks, or technical platforms that have been successfully adopted across multiple teams. - Strong understanding of AI operational challenges, including model reliability, latency, cost optimization, governance, observability, and risk management. - Demonstrated success influencing executive stakeholders and driving organizational decisions through technical leadership and evidence-based recommendations. - Expert-level proficiency in Python and/or TypeScript/JavaScript. - Ability to prototype, debug, review, and contribute code across multiple layers of the technology stack. Preferred Qualifications: - Experience leading AI platform strategy across multiple business units or product organizations. - Experience developing enterprise standards for AI evaluation, testing, observability, governance, and responsible AI practices. - Expertise evaluating and managing AI vendor ecosystems across multiple model providers and platform technologies. - Experience building shared AI infrastructure and platform capabilities consumed by multiple engineering teams. - Experience with agentic architectures, Model Context Protocol (MCP), workflow orchestration, autonomous systems, and emerging AI frameworks. - Experience operating AI systems at significant scale while managing performance, reliability, and cost tradeoffs. - Experience working in regulated industries such as healthcare, financial services, life sciences, or government. - Deep understanding of privacy, security, compliance, governance, and risk management requirements in highly regulated environments. - Experience driving adoption of AI-assisted software development practices across engineering organizations. - Experience advising executive leadership on emerging technologies, platform strategy, and enterprise architecture decisions. - Exceptional communication, leadership, collaboration, and strategic problem-solving skills. Benefits: - Medical, dental, and vision benefits - 401(k) retirement savings plan - Time off (including paid time off, company and personal holidays, paid parental and caregiver leave) - Short-term and long-term disability - Life insurance Work Schedule: - Hybrid work schedule, requiring employees to work three days per week in the office and the remaining days remotely. Salary Range: - $206,600 - $284,300 per year ## Skills ### Required - Python - TypeScript/JavaScript - large language model technologies - AI platform design - retrieval-augmented generation (RAG) - agentic systems - orchestration frameworks - evaluation methodologies - AI operations - cloud-native architectures ### Nice to have - agentic architectures - Model Context Protocol (MCP) - workflow orchestration - autonomous systems - emerging AI frameworks --- Source: [Apply at humana.wd5.myworkdayjobs.com](https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/New-York-NY/Principal-AI-Applied-Engineer_R-425553?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)