Senior Manager, Software Engineering, Digital Solutions

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 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 Manager, Software Engineering, Digital Solutions position can work out of our Santa Clara, CA location.

The Senior Manager, Software Engineering, Digital Solutions provides overall technical leadership for a portfolio of digital products, ensuring modern, scalable, and secure solutions that leverage GenAI, Agentic AI, and code-generation tools to accelerate design, development, and delivery. This leader drives architecture, rapid prototyping, and deployment across edge and cloud environments; owns the technology product goal and backlog; and partners closely with Product, Marketing, Corporate IT, and Security within Abbott to ensure alignment to market and healthcare needs. The role is accountable for building and developing high-performing engineering teams, stewarding budgets and schedules, and serving as a visible technical representative across the organization and with key external stakeholders.

What You’ll Work On

The incumbent may be asked to perform other function-related activities in addition to the below mentioned responsibilities as reasonably required by business needs.

Technical Strategy & Architecture

• Set the technical vision and roadmap for digital products, focusing on GenAI/Agentic AI, code generation, platform reusability, and modern engineering frameworks.
• Lead architectural direction for cloud, edge, and platform solutions, ensuring scalability, reliability, security, and cost efficiency.
• Develop reusable reference architectures and contribute to AI governance frameworks in collaboration with Security and Compliance.
• Translate product strategy into clear, actionable engineering plans and technical priorities.
  

AI Innovation & Acceleration

• Evaluate, pilot, and scale GenAI/Agentic AI patterns—including RAG, tool-use, orchestration engines, and MCP frameworks—to enhance product capabilities and developer productivity.
• Drive rapid prototyping to quickly validate ideas, reduce risk, and speed time-to-value.
• Identify tools, automation, and process improvements that streamline software development.
  

Engineering Excellence & Delivery

• Establish and enforce engineering best practices including DevOps, CI/CD, Infrastructure as Code, automated testing, observability, and secure-by-design principles.
  ​

Data Governance & Compliance

• Implement data governance frameworks that ensure data integrity, security, and compliance.
• Ensure engineering practices align with FDA regulations, quality systems, and applicable industry standards.
  

Leadership

• Partner closely with Product, Marketing, IT, Security, and business stakeholders to align roadmaps and manage dependencies.
• Represent engineering with internal executives, customers, partners, and regulatory bodies.
• Manage external development partners, vendors, and suppliers; support sourcing, cost optimization, and delivery excellence.​
• Hire, mentor, and develop engineering and architecture talent, with emphasis on AI, platform engineering, and modern software disciplines.
• Cultivate an inclusive, collaborative, high-performance culture focused on innovation, ownership, and continuous learning.
• Promote strong communication and cross-functional teamwork across all levels of the organization.
• Lead and mentor distributed engineering teams; ensure high-quality execution, predictable delivery, and continuous improvement.
• Proactively identify and mitigate technical, delivery, and integration risks across programs.
  

Qualifications

• Bachelor’s degree in computer science, Electrical/Computer Engineering, or related field; or equivalent experience.
• Minimum 10+ years in software engineering with 5+ years leading multi-team engineering organizations building cloud-native or hybrid solutions.
• Demonstrated success leading architecture and delivery for complex, scalable systems across cloud and/or edge.
• Hands-on understanding of GenAI/LLMs, Agentic AI patterns, and code-generation tools; proven record of introducing modern engineering practices to accelerate throughput.
• Strong experience with DevOps/CI-CD, containerization and orchestration (e.g., Docker, Kubernetes), IaC (e.g., Terraform), and observability.
• Proven ability to own and manage a technology backlog, translate business outcomes to technical work, and prioritize for value.
• Exceptional stakeholder management and communication skills; ability to influence across enterprise functions (Product, Marketing, IT, Security, Compliance).

Preferred

• Master’s degree (e.g., MS in Computer Science, Computer Engineering, or Engineering Management).
• Experience in regulated healthcare, medical devices, or similarly regulated industries; familiarity with quality systems and software lifecycle standards (e.g., IEC 62304) is a plus.
• Practical experience with LLMOps/MLOps (e.g., model selection, fine-tuning, evaluation, prompt engineering, safety, and data governance).
• Exposure to vector databases, AI orchestration frameworks (e.g., Semantic Kernel, LangChain), API gateways, and event streaming technologies such as Kafka.
• Track record of developing platform capabilities (SDKs, templates, reference architectures) that enable self‑service and scale across product teams.
• Experience working with third‑party vendors, SIs, and managing technical contracts or sourcing negotiations.

Tools & Technology

• Cloud: AWS, Azure, GCP; serverless and containerized architectures
• Orchestration & IaC: Kubernetes, Helm, Terraform
• CI/CD & DevOps: GitHub, GitLab, Azure DevOps; automated testing, artifact management
• Observability: Prometheus, Grafana, Datadog, OpenTelemetry
• AI/ML: LLMs, vector databases, RAG, agent frameworks (Semantic Kernel, LangChain), evaluation and safety tooling
• Data & Streaming: Kafka, Spark/Databricks, event-driven architectures
• Security: SAST/DAST, SCA, secrets management, policy‑as‑code

#software

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: 

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.

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The base pay for this position is $148,700.00 – $297,300.00. In specific locations, the pay range may vary from the range posted.