Anticipated End Date:
2026-05-18Position Title:
Principal Cloud Engineer – AI/MLJob Description:
Principal Cloud Engineer – AI/ML
Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
PLEASE NOTE: This position is not eligible for current or future visa sponsorship.
At Elevance Health, we are transforming how AI and machine learning drive healthcare innovation and outcomes just as much as we are driving how cloud at Elevance Health leverages these cutting-edge tools to enhance our offerings to our business.
The Principal Cloud Engineer – AI/ML serves as a strategic technical leader responsible for defining and governing enterprise Cloud AI/ML platforms and capabilities. This role focuses on authoring and leading strategies and implementations for scalable ML systems, MLOps, and responsible AI which are aligned with healthcare regulatory requirements. This person will work with business and technology stakeholders to build a holistic view of the organizations strategy, processes, information and technical assets to ensure business and IT alignment.
How you will make an Impact:
Define enterprise AI/ML architecture strategy across multiple cloud providers (AWS, Azure, GCP)
Author and evangelize whitepapers/position papers defining principals and strategies for AI/ML cloud platforms.
Liaison with Enterprise Architecture, Enterprise Data and Analytics, and Information Security teams to design and enhance end-to-end ML pipelines including data ingestion, feature engineering, training, deployment, and monitoring.
Establish ML Ops standards for cloud (CI/CD for ML, model registry, feature store, monitoring) and cloud control frameworks to support these.
Drive adoption of responsible AI, model governance, and risk management frameworks
Partner with data science teams to operationalize models at scale.
Serve as a technical ‘Sherpa’ for Elevance projects leveraging AI/ML in any public cloud provider.
Evaluate and implement ML platforms (SageMaker, Vertex AI, Azure ML, Databricks ML, etc).
Enable real-time and batch inference architectures.
Establishes overall systems architecture vision and ensures specific components are appropriately designed and leveraged; contributes to the holistic vision of Enterprise Architecture.
Maintains components of architecture strategy and vision.
Maintains enterprise level blueprints.
Coordinates all enterprise-level conceptual architecture components (e.g., data architecture, application architecture, technical architecture.
Monitors usage of architectural components and assumes responsibility for reuse.
Drives system migration based upon roadmaps defined in enterprise and domain blueprints.
Leads architecture strategy and vision for enterprise.
Ensures blueprints are refreshed as needs emerge or in accordance to plan of record changes.
Provides continuous consulting services and direction in projects and architectures.
Champions and responsible for enterprise level technology and architectural standards, guidelines, principles, frameworks, and reference models.
Minimum Requirements:
Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 8 years experience in architecture/design in relevant technology disciplines; or any combination of education and experience, which would provide an equivalent background.
Preferred Skills, Experiences and Competencies:
Familiarity with feature stores, model registries, experiment tracking
Experience with streaming/inference pipelines
Strong background in responsible AI and model governance
Strong expertise in data security
Experience with infrastructure-as-code and automation tools such as Terraform or CloudFormation
Hands on experience with AI tooling; IDE and Services
Experience working with a variety of executives and their teams in a matrixed environment to deliver value and drive change. Cross-functional experience (e.g., strategy, change management, business process management)
Experience with healthcare AI use cases
Understanding of networking concepts including VPCs, subnets, firewalls, and zero trust models
Experience implementing DevSecOps and secure CI/CD pipelines
Experience working in regulated environments, preferably healthcare
Job Level:
Non-Management ExemptWorkshift:
1st Shift (United States of America)Job Family:
IFT > IT ArchitecturePlease be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.
NOTE: Workday keeps job postings active through 11:59:59 PM on the day before the listed end date. Example: If the end date is 3/13, the posting will automatically come down on 3/12 at 11:59:59 PM. In other words — the job is posted until 3/13, not through 3/13.