Staff 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.

Key Responsibilities

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

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

Base Salary Range: $181,374.00 - $235,015.20. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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