1 day ago
Base Salary
$124k - $222k/yr
Responsibilities
- Design and build LLM gateways, MCP registries, abstraction APIs, and shared AI platform infrastructure.
- Architect and implement production AI agents and automation for code review, documentation, testing, and other developer workflows.
- Evaluate and integrate AI model providers while balancing cost, safety, and performance.
- Track emerging AI models, tools, and frameworks and recommend adoption decisions to engineering leadership.
- Lead technical design for cross-cutting projects with Security, DevEx, and infrastructure teams.
- Build observability, governance, policy, and compliance tooling for responsible enterprise AI use.
- Partner directly with engineers through office hours, Slack support, and the Champions program.
Requirements
- 5+ years of software engineering experience.
- 3+ years building and operating backend services or platform infrastructure in production.
- Strong proficiency in Python and/or TypeScript.
- Hands-on experience integrating LLM APIs, with familiarity with prompt engineering, evaluation pipelines, and model selection tradeoffs.
- Understanding of AI security and responsible AI practices, including prompt injection, model misuse, data leakage, output validation, and policy guardrails.
- Experience designing and shipping reliable production AI agents using agentic frameworks and patterns such as ReAct.
- Experience building MCP servers, Claude skills, or similar tool-use integrations.
- Experience with REST APIs, service-oriented architectures, Kubernetes, Docker, and cloud deployments.
- Familiarity with workflow orchestration tools and infrastructure-as-code is a plus.
- Understanding of authentication, authorization, SSO, secrets management, logging, metrics, and tracing.
- Strong written and verbal communication skills and ability to align engineering, security, and product stakeholders.
Benefits
- Flexible work model with at least 50% of each quarter spent in an office or in the field, with remote home-office roles also able to attend important in-person events.
- Potential eligibility for the Workday Bonus Plan or role-specific bonus and annual refresh stock grants.
- Workday provides comprehensive benefits and reasonable accommodations.
Tech Stack
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.