Role: Lead SRE
Location: Remote
Project description
Join Our Team: Innovating Health Care with Cutting-Edge Technology
Combine two of the fastest-growing fields — Artificial Intelligence and Health Care — with a culture of performance, collaboration, and opportunity. We are at the forefront of technology in an industry transforming the lives of millions, using AI and modern engineering practices to make health care technology and data more accessible, reliable, and secure.
If you are passionate about driving AI-enabled transformation and want to make a meaningful impact at enterprise scale, this is an opportunity to do your best work.
Project Description:
We are looking for a Senior AI Engineering Lead to drive AI adoption and engineering transformation across enterprise software development teams. The role will focus on embedding AI-assisted engineering practices throughout the SDLC, accelerating development productivity, and providing hands-on technical leadership, governance, and coaching to distributed engineering teams.
The Senior AI Engineering Lead will work within a delivery model supported by approximately 20 offshore AI engineers organized into four delivery pods, responsible for executing AI application development, engineering automation, and platform initiatives.
The Lead will provide technical direction across these pods, establish AI engineering standards and guardrails, guide architecture and design decisions, identify and scale high-value AI use cases, and ensure effective adoption of AI-assisted development practices across the engineering lifecycle.
Responsibilities
Responsibilities: Join Our Team: Innovating Health Care with Cutting-Edge Technology
Combine two of the fastest-growing fields — Artificial Intelligence and Health Care — with a culture of performance, collaboration, and opportunity. We are at the forefront of technology in an industry transforming the lives of millions, using AI and modern engineering practices to make health care technology and data more accessible, reliable, and secure.
If you are passionate about driving AI-enabled transformation and want to make a meaningful impact at enterprise scale, this is an opportunity to do your best work.
Project Description:
We are looking for a Senior AI Engineering Lead to drive AI adoption and engineering transformation across enterprise software development teams. The role will focus on embedding AI-assisted engineering practices throughout the SDLC, accelerating development productivity, and providing hands-on technical leadership, governance, and coaching to distributed engineering teams.
The Senior AI Engineering Lead will work within a delivery model supported by approximately 20 offshore AI engineers organized into four delivery pods, responsible for executing AI application development, engineering automation, and platform initiatives.
The Lead will provide technical direction across these pods, establish AI engineering standards and guardrails, guide architecture and design decisions, identify and scale high-value AI use cases, and ensure effective adoption of AI-assisted development practices across the engineering lifecycle.
Lead AI-enabled operations, reliability, automation, observability, and production support initiatives.
Identify and guide AI use cases for incident management, monitoring, troubleshooting, and operational automation.
Define operational standards, governance, and guardrails.
Drive adoption of AI-enabled DevOps and SRE practices.
Improve operational efficiency and reliability through automation and AI.
Serve as a technical advisor and escalation point across multiple delivery pods.
Mandatory Skills:
Site Reliability Engineering (SRE)
DevOps
Generative AI / AI Engineering
Observability & Monitoring
Incident Management
Operational Automation
CI/CD
Skills
Must have
Strong experience in SRE, DevOps, production operations, automation, and Forward Deployed Engineering (FDE), with practical knowledge of applying AI/GenAI to operational and client-specific use cases. Expertise in observability, monitoring, incident management, troubleshooting, CI/CD, operational reliability, and deploying solutions directly into complex enterprise environments is required. Must be capable of working closely with client and engineering teams to translate business and operational needs into scalable technical solutions, establishing governance and guardrails, and serving as a senior technical escalation and advisory lead across multiple engineering pods.
Experience implementing AI-assisted incident response, intelligent monitoring, automated troubleshooting, AI-enabled DevOps solutions, and FDE-led solution deployment and integration. Experience with cloud platforms, Infrastructure as Code, enterprise AI tools, customer-facing technical delivery, and large-scale healthcare or regulated environments is preferred.
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