Senior Cloud Solutions Architect
Abbott
Santa Clara, California
Full-Time
$130,700
RemoteSenior
Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:
Career development with an international company where you can grow the career you dream of.
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
An excellent retirement savings plan with high employer contribution
Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
THE OPPORTUNITY
This Senior Cloud Solutions Architect position can work out of our Santa Clara, CA location.
The Sr. Cloud Solutions Architect role requires enhancing a SaaS cloud platform aimed at improving global health outcomes. Responsibilities include coordinating issue resolutions and mentoring junior engineers cloud platforms. Contribute to product improvements, design and implement cloud-based services and provide technical expertise to shape solutions while staying updated on emerging trends to drive innovation. Leadership, versatility, continuous learning, and a strong passion for software engineering are key qualities for success in this role. Will be involved in the entire lifecycle of an implementation with a key emphasis on the standards, methodology and designs utilized, including but not limited to understanding key functional gaps, data models, interface, transformation and technical specification design.
Strong expertise in healthcare cloud applications (security and data privacy), interoperability standards (HL7, FHIR, DICOM) and modern cloud-native data and AI platforms. This role is responsible for architecting, designing, and guiding the implementation of secure, scalable, and compliant healthcare solutions across AWS, Azure, and GCP, leveraging data lakes, data warehouses, Databricks, and AI/ML technologies including Agentic AI and Retrieval-Augmented Generation (RAG).
What You’ll Work On
Leads the strategic planning and development of architectural roadmaps, including presenting to business divisions and management.
Translate business needs into scalable, secure solution architectures aligned to standards
Design and build cloud-native, high-performance services and APIs for global healthcare platforms
Develop maintainable, testable code and ensure performance, uptime, and scalability
Architect interoperable healthcare solutions (HL7, FHIR, DICOM) across EHRs, PACS, and partner systems
Ensure compliance with HIPAA, HITRUST, GDPR, FDA, and other regulatory requirements
Collaborate cross-functionally (engineering, InfoSec, data, partners) to design secure, integrated solutions
Drive API strategy and contract design for internal and external integrations
Build internal tools and implement system improvements aligned to architecture goals
Participate in agile development, technical planning, and code reviews
Create technical artifacts (diagrams, workflows, documentation, knowledge base articles)
Troubleshoot issues, coordinate resolutions, and advocate for customer needs
Contribute to innovation by evaluating emerging technologies and recommending improvements
Design advanced architectures including:
AI/ML solutions (predictive analytics, clinical decision support, imaging)
Agentic AI workflows and LLM-based systems
RAG architectures with vector databases
Support enterprise initiatives, quality systems (QMS/EMS), and cross-functional collaboration
Core Competencies
Technical Architecture: Define long-term vision while enabling near-term delivery
AI-Driven Engineering: Apply GenAI/agentic patterns to improve speed and quality
Product Mindset: Link technical decisions to customer value and outcomes
Operational Excellence: Ensure reliability, performance, security, and cost efficiency
Influence & Communication: Communicate effectively across executive and technical audiences
Change Leadership: Drive adoption of new technologies and practices at scale
Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
10+ years of experience in cloud architecture, distributed systems, or related roles
Experience in customer-facing or consultative roles (e.g., solutions architect, resident engineer, customer success engineering)
Strong background in networking and security (routing, BGP, IPsec VPNs, virtualization)
Hands-on experience with Linux-based systems and infrastructure
Expertise with at least one major cloud platform: AWS, Azure, or GCP
Experience designing scalable, highly available, cloud-native architectures
Strong knowledge of containers and orchestration (Docker, Kubernetes)
Experience with DevOps practices including CI/CD, Infrastructure as Code (Terraform), and automated testing
Familiarity with data platforms (Databricks, data lakes, data warehousing)
Experience implementing observability and monitoring solutions
Cloud Platforms: AWS, Azure, GCP; serverless and containerized architectures
Orchestration & IaC: Kubernetes, Helm, Terraform
DevOps & CI/CD: GitHub, GitLab, Azure DevOps, automated pipelines, artifact management
Observability: Prometheus, Grafana, Datadog, OpenTelemetry
Data & Streaming: Kafka, Spark, Databricks, event-driven architectures
Security: SAST, DAST, SCA, secrets management, policy-as-code
AI/ML (Modern Stack): LLMs, RAG, vector databases, agent frameworks (LangChain, Semantic Kernel)
Preferred Qualifications
Experience with healthcare interoperability standards (HL7, FHIR, DICOM)
Knowledge of AI/ML architectures, including LLMs, Agentic AI, and RAG systems
Experience designing solutions handling PHI/PII in regulated environments
Familiarity with healthcare or regulated industry standards (FDA, HIPAA, ISO 13485, IEC 60601)
Proficiency in at least one programming language (e.g., Python, Java, C#, Node.js)
#software
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal
The base pay for this position is
$130,700.00 – $261,300.00In specific locations, the pay range may vary from the range posted.