Senior Manager, Software Engineering, Digital Solutions
Role details
Job location
Tech stack
Job description
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.
Requirements
- 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
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