Note: The job is a remote job and is open to candidates in USA. ASG is a company focused on acquiring and transforming vertical SaaS companies into AI-native platforms. They are seeking an AI Systems Engineer to manage and scale the AI ecosystem, ensuring secure and efficient deployment of AI tools across their portfolio companies.

Responsibilities

• Design, build, and deploy AI-powered workflows and agentic systems that automate high-value business processes across ASG and its portfolio companies
• Own the AI SaaS ecosystem end-to-end - from tool evaluation and vendor selection to configuration, cost management, and ROI measurement
• Architect secure, governed patterns for AI tool usage across the enterprise, including data handling, connector security, access controls, and LLM-specific risk management
• Build and manage identity and access management across the organization, designing secure, least-privilege architectures that scale across multiple companies
• Partner with AI Governance and business leaders to define safe usage policies, translate security concepts into practical guidance, and drive adoption without slowing the business down
• Enable and educate teams across ASG and its portfolio on effective, secure use of AI tools - building a culture of self-service and responsible usage
• Evaluate emerging AI capabilities and tooling continuously, and bring the best ideas into production quickly

Skills

• Hands-on experience building AI workflows, agentic systems, or multi-step automations in real production environments - not just experimenting in sandboxes
• Connected enterprise systems using APIs, workflow automation platforms, or SaaS-native integrations, and understanding how data and permissions move between systems
• Think about security as a builder, not a gatekeeper - designing practical guardrails that protect the business without blocking it
• Worked with enterprise AI platforms (Claude Enterprise, ChatGPT Enterprise, AWS Bedrock, Azure OpenAI) and orchestration tools (LangChain, LangGraph, CrewAI, MCP), and understanding IAM, data leakage risks, and connector security in enterprise environments
• Communicate clearly across technical and non-technical audiences — able to explain architecture decisions to a CISO and onboarding workflows to an HR team
• Worked in small, scrappy environments where you owned everything and figured things out without a large team behind you
• Possess a proactive, solution-oriented, problem-solving mindset -- 'I'll figure it out.'
• Thrive in a small, growing, fast-paced, results-oriented environment

Benefits

• Annual bonus
• Employer-paid benefits
• L&D stipend
• Incentive pay for eligible roles

Company Overview

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