Staff Enterprise AI Engineer
Staff-level role building and scaling enterprise AI systems, agents, and workflow automation using Workato, Claude, and Microsoft 365 Copilot to reduce operational toil across IT, Security, Finance, HR, Legal, and GTM. Requires 7+ years enterprise engineering experience and strong security/compliance focus.
Key Responsibilities
AI Systems and Agent Architecture
- Design and implement enterprise AI systems using Workato, MCP frameworks, Microsoft 365 Copilot, and Claude
- Build and orchestrate AI agents that automate cross-functional workflows across IT, Security, Finance, HR, Legal, Tech and GTM
- Develop reusable patterns for agent orchestration, memory, context handling, and human-in-the-loop controls
Enterprise Automation and Integration
- Lead development of end-to-end automated workflows using Workato and related integration platforms
- Connect SaaS systems, data platforms, and internal services into unified AI-powered workflows
- Measurably reduce operational toil by eliminating repetitive manual processes
AI Governance, Security, and Risk
- Embed security, privacy, and compliance controls into AI systems by design
- Ensure alignment with SOC 2, ISO 27001, ISO 42001 and AI governance standards
- Define guardrails for data handling, prompt security, model access, and agent permissions
- Mitigate risks related to prompt injection, data leakage, model misuse, and over-automation
Platform Enablement and Scale
- Build internal AI capabilities that scale across teams, not one-off solutions
- Create reusable templates, SDKs, connectors, and playbooks for AI adoption
- Partner with IT, Security, and Enterprise Apps to operationalize AI at scale
Productivity and Employee Experience
- Leverage Microsoft 365 Copilot and Claude to enhance employee workflows
- Identify high-impact productivity use cases across departments
- Deploy AI assistants that meaningfully reduce time to complete core tasks
Cross-functional Leadership
- Partner with senior stakeholders to identify high-value AI opportunities
- Translate business problems into scalable AI solutions
- Influence roadmap, standards, and adoption strategy across 6sense
Required Qualifications
- 7+ years in enterprise engineering, automation, or IT systems
- Hands-on experience building integrations and workflows using platforms like Workato or similar
- Experience with LLM-based systems including prompt design, agent orchestration, and tool usage
- Strong understanding of SaaS ecosystems and API-driven architectures
- Experience implementing security and compliance controls in cloud-native environments (AWS preferred)
- Ability to operate at both deep technical and strategic levels
Preferred Qualifications
- Experience with MCP or similar model context and agent frameworks
- Experience with Microsoft 365 Copilot extensibility and Graph API
- Experience with Claude or other enterprise LLM platforms
- Exposure to AI governance frameworks and responsible AI practices
- Background in scaling internal platforms in a high-growth SaaS company
Core Competencies
- Systems thinking and platform design
- AI & Automation-first mindset
- Security and risk awareness in AI systems
- Strong technical judgment with bias for action
- Ability to simplify complex workflows through AI
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