Senior Cloud Solutions Architect

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life‑changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. 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 fingerstacks. 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. We 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. Technologies 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). Abbott is an Equal Opportunity Employer, committed to employee diversity. The base pay for this position is $130,700.00 – $261,300.00. In specific locations, the pay range may vary from the range posted. #J-18808-Ljbffr Abbott