Staff Enterprise AI Engineer - Agentic Workflows & Productivity
TLDR
Senior technical leader building scalable enterprise AI platforms and agentic workflows, defining architecture, and delivering AI-enabled productivity across the product lifecycle.
- 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.
- 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.
- 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.
Requirements:
Benefits:
Benefits
Performance-based bonus
Eligibility for annual performance-based bonus compensation.
Remote-Friendly
Fully remote work flexibility across Canada and the U.S. (role-dependent).
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services