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Note: The job is a remote job and is open to candidates in USA. Presbyterian Healthcare Services is a not-for-profit healthcare system seeking a visionary technology executive to serve as its next Executive Director of AI Engineering & Process Automation. The role involves defining and operationalizing the future of AI and automation across the Health Plan, leading the strategy, engineering delivery, governance, and adoption of enterprise AI and automation solutions. ResponsibilitiesDevelop and execute the Health Plan's AI and automation strategy, aligning investments with organizational priorities and measurable business outcomesEstablish a multi-year roadmap for AI, machine learning, generative AI, workflow automation, and robotic process automation (RPA)Identify opportunities to improve administrative efficiency, operational performance, member experience, provider experience, and cost management through intelligent automationPrioritize initiatives based on business value, implementation complexity, risk, and return on investmentServe as a strategic advisor to executive leadership regarding emerging AI technologies, market trends, and innovation opportunitiesLead the design, development, deployment, and scaling of production-ready AI and automation solutionsOversee implementation of automation and AI initiatives across Claims, Prior Authorization, Utilization Management, Provider Operations, Finance, Enrollment, Care Management, Encounters, and Member ServicesEstablish engineering standards, development methodologies, and quality controls that ensure scalable and sustainable deliveryCreate repeatable frameworks for evaluating, testing, and operationalizing emerging technologiesDefine enterprise architecture standards supporting AI and automation initiativesEstablish integration patterns, APIs, data pipelines, orchestration frameworks, observability capabilities, and resiliency standardsLead platform evaluation, selection, implementation, and lifecycle management activitiesEnsure alignment with enterprise technology strategy and long-term scalability goalsEstablish enterprise governance frameworks for responsible AI usageEnsure compliance with HIPAA, privacy regulations, security requirements, and organizational policiesImplement controls supporting explainability, auditability, model lifecycle management, drift monitoring, and bias mitigationPartner with Compliance, Legal, Risk Management, Privacy, and Security teams to maintain appropriate oversightEstablish operational support models for AI and automation solutions, including SLAs, incident management, monitoring, release governance, and continuous improvementDevelop performance dashboards and executive reporting frameworksMeasure and communicate business outcomes associated with AI investmentsDrive optimization and continuous improvement of deployed solutionsPartner closely with operational leaders to identify automation opportunities and drive organizational adoptionLead executive discussions regarding priorities, investments, risks, tradeoffs, and expected outcomesDevelop change management strategies supporting implementation and user adoptionTranslate technical concepts into actionable business recommendations for executive audiencesBuild, lead, and develop a high-performing team of AI engineers, automation developers, data engineers, solution architects, and technical leadersFoster a culture of innovation, accountability, continuous learning, and collaborationDevelop succession plans and technical career pathwaysElevate organizational capabilities in AI engineering, automation, and digital transformationSkills 12+ years of progressive technology leadership experience in software engineering, AI, automation, digital transformation, or enterprise technology delivery7+ years leading managers, technical leaders, and enterprise-scale technology programsDemonstrated executive accountability for AI, automation, engineering, or digital transformation initiativesProven success building and scaling high-performing engineering, AI, or automation organizationsExperience influencing executive stakeholders and leading enterprise transformation initiativesDemonstrated track record establishing strategy and governance while delivering measurable business outcomesBenefitsCompetitive salariesFull medical, dental and vision insuranceFlexible spending accounts (FSAs)Free wellness programsPaid time off (PTO)Retirement plans, including matching employer contributionsContinuing education and career development opportunitiesLife insuran .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.