1 day ago
Base Salary
$129k - $259k/yr
Responsibilities
- Lead the design and implementation of major enterprise AI platform capabilities, including model gateways, GenAI runtimes, registries, evaluation pipelines, and developer experience.
- Define and document architecture decisions for the control plane, SDKs, observability, security, scalability, cost, and operability.
- Drive tracing, evaluation, quality, drift, latency, and cost-monitoring standards across platform services.
- Implement security, guardrails, privacy, identity, policy-enforcement, and responsible-AI controls, including PII and PHI handling.
- Own platform reliability engineering by defining SLOs, leading high-severity incident response, performing root-cause analysis, and improving resilience.
- Set engineering standards through architecture reviews, design documentation, and code reviews while resolving systemic technical risks.
- Make build-versus-buy and vendor recommendations with cost and tradeoff analysis.
- Mentor junior and mid-level engineers and serve as a technical lead on cross-team initiatives without formal people management.
- Partner with product, applied data science, AI/agentic engineering, security, and senior stakeholders on roadmap and design decisions.
Requirements
- 8–10 years of software engineering, platform engineering, distributed systems, or infrastructure experience with ownership of significant technical scope.
- Hands-on experience designing and operating enterprise AI/GenAI platforms or comparable developer, data, or ML platforms in production at scale.
- Strong Python skills and proficiency in at least one of TypeScript, Go, or Java, including distributed systems, API design, testing, and secure SDLC practices.
- Deep understanding of at least two areas including model gateways, GenAI runtimes, RAG, agent/model registries, evaluation, observability/tracing, guardrails, or platform governance.
- Experience with containers, orchestration, infrastructure as code, CI/CD, cloud services, production SLOs, on-call practices, and incident response leadership.
- Bachelor’s degree in a related field or equivalent professional experience.
- Ability to make autonomous technical decisions, influence engineers outside a reporting line, and communicate with technical leadership.
- Preferred experience with multi-model routing, agent registries, prompt management, evaluation harnesses, GenAI tracing, regulated environments, GxP, HIPAA, validation, change control, security, responsible AI, privacy, policy, FinOps, MCP, OpenTelemetry, Kubernetes, and cloud-native platform engineering.
Benefits
- Career development opportunities with an international company.
- Potential eligibility for free medical coverage through the Health Investment Plan PPO in the next calendar year.
- Retirement savings plan with a high employer contribution.
- Tuition reimbursement, Freedom 2 Save student debt support, and the FreeU education benefit.
- Onsite role in Illinois; not remote.
- Standard work shift with approximately 10% travel.
Tech Stack
Categories
About Abbott
Abbott is a NYSE‑listed healthcare company that develops diagnostics, medical devices, nutrition products, and branded generic medicines for clinicians and consumers. Founded in 1888 and headquartered in Abbott Park, Illinois, it sells products in more than 160 countries, including the FreeStyle Libre continuous glucose monitoring system. Revenue comes primarily from product sales to hospitals, clinics, and retail channels.