Staff Enterprise AI Engineer

Role Description

We’re looking for a Staff Enterprise AI Engineer focused on scaling internal operations across the business through AI-driven systems, agents, and workflow automation. This role designs and delivers secure, production-grade AI solutions that reduce manual work, increase productivity, and improve decision-making across all business functions while maintaining security and privacy. Success is measured by enterprise impact, not tool adoption.

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.

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.

Success Metrics

• Reduction in manual workflows and operational overhead.
• Measurable productivity gains across key functions.
• Adoption and impact of reusable AI solutions across teams.
• Compliance and risk posture of AI systems.
• Time-to-value for new automation and AI initiatives.

Example Impact Areas

• AI agents that triage and resolve IT and security tickets.
• Automated workflows for finance approvals, HR onboarding, and legal reviews.
• Copilot-powered employee assistants integrated with enterprise systems.
• Intelligent orchestration of data across SaaS platforms for decision support.

Reporting Structure

• Reports to: Head of IT and AI Transformation (Part of CISO/CIO org).

What Good Looks Like

• Ships production-ready AI systems and services, not prototypes.
• Builds reusable capabilities, not isolated solutions.
• Balances speed with security and governance.
• Drives measurable business outcomes, not experimentation for its own sake.

Benefits

• Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options.
• Access to equipment and support needed to work and connect with teams, at home or in one of our offices.
• Growth mindset culture represented in onboarding and numerous learning and development initiatives including access to LinkedIn Learning platform.
• Quarterly wellness education sessions to encourage self-care and personal growth.
• Celebration of employee backgrounds through wellness days and ERG-hosted events.