1,000+ matching jobs for “Senior AI Engineer”How results work Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.
Summary As a Senior Staff AI Engineer, you’ll lead enterprise full stack and AI platform development at scale for multiple …
Added Oct 27, 2026
… that power the company's business workflows and operations. Job Summary The IT Engineering team builds AI -first enterprise systems that power critical business workflows across the company. As a Sr Staff AI …
Added Oct 27, 2026
+1 location
The AI Security Engineer is responsible for building and running the security controls that find and govern the …
Added Oct 25, 2026
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and …
Added Oct 27, 2026
We are seeking an experienced Senior AI Solutions Engineer to design, develop, evaluate, and deploy AI, machine learning, GenAI, and agentic AI …
Added Oct 15, 2026
NVIDIA is looking for a Senior Applied AI Engineer to help build intelligent software systems that improve engineering productivity and …
Added Oct 27, 2026
… High trust, high expectations, and real impact. Engineering, but brighter. About the Role As a Principal/Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for …
Added Oct 27, 2026
Pay posted by employer $99,300–$198,700
Position Overview The Sr AI Platform Infrastructure Engineer is a pivotal position for driving the strategic vision and technical …
Added Oct 15, 2026
Pay posted by employer $188,000–$282,000
Vertex is seeking a Senior Principal AI Engineer to design, build, and optimize the shared platform capabilities that power AI-enabled …
Added Oct 18, 2026
+4 locations
Summary: Role Overview As part of Product & Engineering team within the Global Digital Network, the Senior Manager, AI Engineer will help advance Coca-Cola’s transformation into a digital-first, data-driven …
Added Oct 27, 2026
Pay posted by employer $99,000–$225,000
AI /ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) …
Added Oct 27, 2026
Pay posted by employer $86,800–$198,000
AI Platform Engineer, Senior The Opportunity: As an AI Platform Engineer, you know that good sof t war e is …
Added Oct 29, 2026
Pay posted by employer $99,000–$225,000
Design, develop, and implement AI /ML models, including NLP, LLM‑based pipelines, deep learning architectures, and computer vision models, …
Added Oct 27, 2026
… team of engineers, research scientists, technical program managers, and product managers to deliver AI -powered products that change how our associates work and how our customers interact with Capital One …
Added Oct 27, 2026
Pay posted by employer $188,000–$282,000
Vertex is seeking a Senior Principal AI Engineer to define and build the foundational enterprise AI platform that powers intelligent …
Added Oct 18, 2026
Pay posted by employer $114,000–$228,000
… best place to work for diversity, working mothers, female executives, and scientists. THE OPPORTUNITY This Senior AI/ML Engineer position can work out of Alameda, CA location. As Senior AI/ML Engineer, you will turn …
Added Oct 15, 2026
+1 location
Pay posted by employer $140,300–$210,500 USD
As a Senior AI Deployment Engineer, you will be the lead technical architect responsible for designing and overseeing …
Added Oct 27, 2026
Pay posted by employer $86,900–$198,000
Design and develop production AI applications that integrate foundation models, retrieval systems, external tools, and enterprise data …
Added Oct 27, 2026
… delivery best practices, including CI/CD pipelines, version control, and testing methodologies. Generative AI Expertise: Deep knowledge of transformer architectures, embedding models, large language models (LLMs), …
Added Oct 15, 2026
We are looking for a Senior lead Engineer, Applied AI who thrives at the intersection of cutting-edge trends in different modalities of …
Added Oct 27, 2026
Pay posted by employer $99,300–$198,700
Minimum Qualifications · employer excerpt Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
About this opportunity Original employer description 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 122,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION: Position Overview
The Sr AI Platform Infrastructure Engineer is a pivotal position for driving the strategic vision and technical execution for the Cancer Diagnostics AI/ML platform. The role is accountable for the architecture, reliability, scalability, security and cost of every layer beneath the platform's applications, from the cloud, network and compute foundation to the serving, orchestration and streaming systems that workloads run on. This engineering leader partners closely with the AI Platform Software and Safety leads to own and develop the AI/ML platform.
This role architects, builds and operates AI infrastructure as software, supporting large language models, predictive models, agentic systems and traditional software applications across the MLOps lifecycle. This is a hands-on engineering role that requires a technical leader to demonstrate ownership, accountability and leadership.
This role is based in Madison, WI .
Essential Duties
Include, but are not limited to, the following:
Design and own the platform's cloud and Kubernetes foundation, including account and network topology, VPC and subnet design, private connectivity, ingress and egress control, DNS and certificates, and the provisioning, upgrade, migration, multi-tenant isolation and security of production clusters. Lead the platform's expansion across clusters and regions, covering topology, identity federation, state and data placement, traffic management and failure domains, and evaluate multi-cloud where business need warrants it. Own infrastructure-as-code and GitOps for the platform, including module design, state management, environment promotion, drift control, and the testing and rollback of infrastructure changes; build and operate the CI/CD and deployment tooling that platform software releases run on in partnership with the AI Platform Software lead. Architect, build and operate production model serving and GPU infrastructure for large language and predictive models, including scheduling, multi-tenancy, autoscaling, low-latency serving, inference optimization (quantization, batching, graph compilation), and capacity planning and cost attribution for shared compute. Partner with the AI Platform Software and Safety leads on the model lifecycle by providing the infrastructure it runs on, including reproducible data, feature and training pipelines with dataset-to-model lineage, promotion environments, the traffic-shifting and rollback mechanisms behind canary, shadow and A/B rollout, and pipeline enforcement of the evaluation and promotion gates. Architect, build and operate workflow orchestration and event-streaming infrastructure, including workflow and state-machine design, event-driven triggers and scheduling, retries and idempotency, topic and partition design, schema management, delivery semantics and cross-region replication. Own the observability stack and service level objectives for infrastructure services, with proactive detection across the platform; lead disaster-recovery strategy as a business tradeoff between cost and recovery time and recovery point objectives; and serve as the escalation point for complex infrastructure incidents, leading the post-incident analysis that drives systemic reliability improvements. Own infrastructure security and governance, including least-privilege identity, secrets management, network policy, workload isolation and auditability, and partner with the safety lead to build the governance controls into the paved road as automated checks. Design, develop, test, review and deploy production software as a hands-on contributor, mentor engineers, and represent the infrastructure pillar in design reviews and long-term technology planning. Uphold company mission and values through accountability, innovation, integrity, quality and teamwork. Maintain regular and reliable attendance. Ability to act with an inclusion mindset and model these behaviors for the organization. Minimum Qualifications
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact. Demonstrated understanding of ethical considerations in AI systems. 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE). Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms. Strong analytical and problem-solving skills with expertise in AI/ML techniques. Preferred Qualifications
Production experience with Python, Go and/or Rust. Experience leading platform transformations and/or building large-scale AI infrastructure. Multi-cloud experience, or experience migrating significant workloads between cloud providers. Kubernetes-native serverless and event-driven autoscaling (for example Knative or KEDA), service mesh, API gateway and zero-trust network patterns. Cost ownership of a GPU fleet, or comparable FinOps accountability for shared compute. Experience operating inside enterprise guardrails, where network, identity and change management are owned by other teams, and knowledge of compliance frameworks such as HIPAA, FDA and GxP. Experience guiding cross-functional engineering groups or mentoring senior-level engineers.
The base pay for this position is
$99,300.00 – $198,700.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY: Product Development
DIVISION: ONCO Cancer Diagnostics
LOCATION: United States > Madison : 5505 Endeavor Ln
ADDITIONAL LOCATIONS:
WORK SHIFT: Standard
TRAVEL: No
MEDICAL SURVEILLANCE: No
SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
Why this result? · Employer labels All keywords in title
