Remote Technology Delivery Lead: AI‑Driven Engineering

Humana

Austin (TX)

Remote

USD 118,000 - 162,000

Full time

8 days ago

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Benefits offered by this job

Bonus incentive plan

Job summary

Humana is seeking a Lead Technology Leadership Professional to oversee delivery and performance of software/tools across multiple Scrum teams. You will translate business needs into executable solutions, ensuring quality, reliability, and timely delivery.

You will collaborate with architects, product teams, SRE and security to remove obstacles, implement AI-enabled practices, and drive modernization and operational excellence while maintaining strong alignment with security and engineering

Qualifications

Bachelor's degree in computer science and engineering or any relevant field.
2 or more years of project leadership experience.
5 or more years of experience with the technologies in use in the application(s) or infrastructure.
Experience with unit testing and mocking.
Ability to manage multiple tasks and deadlines with attention to detail.
Ability to communicate effectively and deliver presentations to senior leaders.
Advanced experience leading special projects and producing metrics, measurements and trend reports.
Must be passionate about contributing to an organization focused on continuously improving consumer experiences.
Experience leveraging AI-enabled tools and championing responsible AI adoption to improve team productivity, innovation, and delivery.
5 or more years of experience with Node.js, Kafka, Azure Cloud, Vue.js, JavaScript

Responsibilities

Provide technical and delivery leadership across multiple Scrum teams, driving execution, accountability, and engineering excellence.
Serve as a go-to technical leader for complex issues, helping teams make informed decisions and move work forward.
Partner closely with architects, software engineers, product teams, SRE, security, infrastructure, and other internal and external technology teams.
Identify and remove technical and organizational obstacles, manage dependencies, and drive complex issues through resolution.
Provide hands-on technical guidance, including reviewing solution approaches and applying a strong understanding of application architecture, APIs, integrations, cloud technologies, and engineering practices.
Drive alignment with enterprise architecture, security, engineering standards, and technology strategy.
Champion the hands-on adoption of AI-assisted engineering tools and practices to improve developer productivity, software quality, problem-solving, and delivery efficiency.
Encourage engineering teams to identify practical opportunities to use AI across the software development lifecycle, while promoting responsible and secure usage.
Drive continuous improvement, modernization, automation, technical debt reduction, application reliability, and operational excellence.
Exercise independent judgment on complex technology and delivery issues and determine the best course of action with minimal supervision.
Communicate effectively with engineering teams, business partners, external teams, and leadership, translating technical complexity into clear actions and business outcomes.