This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Enterprise AI Engineer – Agentic Workflows & Productivity based in United States.
This role is a senior, hands-on technical leadership position focused on building and scaling enterprise AI capabilities across a modern product organization.
You will define the architecture and standards for agentic workflows, while also actively contributing code and solving complex engineering challenges.
The position spans platform engineering, AI product enablement, and workflow automation across the full product development lifecycle.
You will design and operationalize systems that improve engineering productivity through intelligent agents, RAG pipelines, and automation frameworks.
A key part of the role involves enabling adoption of enterprise AI tools, building self-service capabilities, and driving measurable impact across teams.
This is a highly visible position requiring both deep technical expertise and the ability to influence cross-functional stakeholders in a fast-moving environment.
Accountabilities:
- Lead the architecture, design, and rollout of enterprise AI platforms supporting agentic workflows across the organization.
- Build and maintain scalable, cost-efficient AI infrastructure, including model routing, cost controls, fallback models, and observability systems.
- Establish core platform foundations such as IAM, identity federation, tenant isolation, security guardrails, and compliance frameworks.
- Design and implement agent workflows across the product development lifecycle, including ideation, development, CI/CD, deployment, and monitoring stages.
- Develop self-service “agent factory” frameworks, enabling teams to safely build, deploy, and manage their own AI agents.
- Drive adoption of enterprise AI tools by providing training, enablement, and ongoing technical support.
- Build cross-platform interoperable agent systems with authentication, schema mapping, and integration across enterprise environments.
- Mentor engineers, lead technical reviews, and actively contribute to coding, debugging, and building reference implementations.
- Collaborate with product, engineering, and business stakeholders to translate needs into scalable AI-driven solutions.
- Oversee external delivery partners, ensuring alignment on scope, quality, and execution standards.
Requirements:
- 10+ years of software engineering experience, including 4+ years in a senior or staff technical leadership role.
- Strong hands-on coding ability with proficiency in Python and at least one additional modern programming language.
- Proven experience building and operating production AI/ML or LLM-based systems such as agents, RAG pipelines, or evaluation frameworks.
- Deep familiarity with Google Vertex AI, Gemini, and related cloud services including IAM, networking, observability, and cost optimization.
- Experience building developer platforms, internal tools, or AI-enabled productivity systems with adoption responsibility.
- Strong understanding of APIs, system integration, authentication, SSO, OAuth, and identity federation.
- Track record of leading cross-team technical initiatives and influencing without formal authority.
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders effectively.
- Experience with agentic systems, orchestration frameworks, or tool/function calling is highly valued.
- Familiarity with enterprise AI governance, compliance, and secure deployment practices is a strong plus.
Benefits:
- Competitive compensation ranging from $136,000 to $265,700 USD depending on location and experience.
- Eligibility for annual performance-based bonus compensation.
- Fully remote work flexibility across Canada and the U.S. (role-dependent).
- Opportunity to work on cutting-edge enterprise AI systems and agentic workflow platforms.
- High-impact technical leadership role with strong ownership and visibility.
- Access to modern AI tooling, cloud platforms, and advanced engineering environments.
- Career growth in a fast-evolving AI-first product organization.