[Hiring] Senior Enterprise AI Engineer @6sense

Role Description

We're looking for a Senior Enterprise AI Engineer to help scale internal operations through AI-driven systems, workflow automation, and intelligent agents. This role will build and deploy secure, production-ready AI solutions that improve employee productivity, automate business processes, and enhance decision-making across the organization. Success in this role is measured by delivering impactful AI-powered solutions that solve real business problems while maintaining security, reliability, and compliance.

Key Responsibilities

• AI Systems and Agent Development
  • Design, build, and deploy enterprise AI solutions using Workato, MCP frameworks, Microsoft 365 Copilot, Claude, and related technologies.
  • Develop AI agents and assistants that automate workflows across IT, Security, Finance, HR, Legal, and GTM functions.
  • Contribute to reusable patterns for agent orchestration, prompt design, context management, and human review workflows.
• Enterprise Automation and Integration
  • Build and maintain end-to-end automated workflows using Workato and related integration platforms.
  • Integrate SaaS applications, internal systems, and data services into AI-powered business workflows.
  • Identify opportunities to reduce manual effort through automation and process optimization.
• AI Governance, Security, and Risk
  • Implement security, privacy, and compliance requirements within AI solutions.
  • Follow established governance frameworks and best practices for responsible AI.
  • Apply controls that protect against data leakage, prompt injection, and unauthorized access.
  • Partner with Security and IT teams to ensure AI systems operate safely and compliantly.
• Platform Enablement and Scale
  • Develop reusable AI components, templates, and integrations that accelerate adoption across teams.
  • Document best practices and implementation patterns.
  • Support internal teams in deploying and expanding AI-enabled workflows.
• Productivity and Employee Experience
  • Leverage Microsoft 365 Copilot, Claude, and related tools to improve employee productivity.
  • Identify and implement high-value AI use cases across business functions.
  • Measure and optimize the effectiveness of deployed AI solutions.
• Cross-Functional Collaboration
  • Partner with business stakeholders to understand operational challenges and define solutions.
  • Translate requirements into scalable technical implementations.
  • Collaborate with IT, Security, Enterprise Applications, and business teams to deliver successful outcomes.

Qualifications

• 5+ years of experience in enterprise engineering, software engineering, automation, or IT systems.
• Hands-on experience building integrations and workflows using Workato, Tines, or similar platforms.
• Experience working with LLM-based applications, prompt engineering, AI assistants, or agent frameworks.
• Strong understanding of APIs, integrations, and SaaS ecosystems.
• Experience implementing security and compliance controls within cloud-based environments.
• Strong problem-solving skills and ability to independently deliver technical solutions.

Preferred Qualifications

• Experience with MCP or similar agent and context management frameworks.
• Experience extending Microsoft 365 Copilot and leveraging Microsoft Graph APIs.
• Experience with Claude or other enterprise AI platforms.
• Familiarity with AI governance and responsible AI principles.
• Experience supporting internal platforms or business systems within a SaaS company.

Core Competencies

• AI and automation mindset.
• Strong software and systems engineering fundamentals.
• Security-conscious development practices.
• Cross-functional collaboration and communication.
• Ability to simplify business processes through technology.
• Bias for execution and continuous improvement.

Success Metrics

• Deployment of production-ready AI solutions that improve business operations.
• Reduction in manual effort and operational overhead.
• Increased productivity through automation and AI adoption.
• Reliability, security, and compliance of deployed solutions.
• Successful delivery of AI initiatives within scope and timeline.

Benefits

• Health coverage.
• Paid parental leave.
• Generous paid time-off and holidays.
• Quarterly self-care days off.
• Stock options.
• Support for equipment and connectivity needs.
• Access to learning and development initiatives, including LinkedIn Learning.
• Quarterly wellness education sessions.