Enterprise AI Engineer

Staff Enterprise AI Engineer, IT Operations About the Role

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.

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Systems thinking and platform design
• Security and risk awareness in AI systems
• Strong technical judgment with bias for action
• Ability to simplify complex workflows through AI

• 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

• 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

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

• Ships production‑ready AI systems and services, not prototypes
• Builds reusable capabilities, not isolated solutions
• Balances speed with security and governance
• Dr…