Lead AI Engineer, Enterprise AI Operations at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead AI Engineer, Enterprise AI Operations in United States.

This role is a high-impact position responsible for architecting and operationalizing production-grade AI systems that transform enterprise workflows and drive measurable outcomes. You will work closely with senior executives to translate strategic ideas into scalable AI solutions, including multi-agent orchestration, retrieval-augmented generation, tool integration, and cross-system automation. The role demands a balance of deep technical expertise, clean engineering practices, and responsible AI deployment, ensuring reliability, compliance, and executive trust. Operating in a fast-paced, remote-first environment, you will lead initiatives from concept to production, mentor peers, and contribute to organization-wide AI maturity. This is an opportunity to influence critical business decisions while shaping the future of AI-driven enterprise operations.

• Serve as the primary AI engineering partner to executives, transforming strategic questions into production-ready AI workflows
• Design, implement, and operationalize complex AI systems with attention to scalability, observability, performance, and reliability
• Develop multi-step agentic workflows, including orchestration, memory strategies, tool integration, and evaluation frameworks
• Implement responsible AI practices through guardrails, structured monitoring, and validation layers to ensure predictable and compliant behavior
• Collaborate with Security, Legal, and other stakeholders to enforce access controls, audit logging, and enterprise governance while maintaining efficiency
• Evaluate and rationalize AI tools and platforms, supporting consolidation, security alignment, and long-term enterprise sustainability
• Support post-launch adoption, continuous improvement, and knowledge sharing to elevate internal AI capabilities and best practices

• 7–10+ years of professional software engineering experience designing, building, and operating complex production systems in cloud environments
• Proven experience deploying AI-powered systems in production, including agent-based workflows, RAG, orchestration, tool-calling, and evaluation
• Strong proficiency in modern programming languages (e.g., Python, TypeScript) with a track record of writing clean, maintainable, production-quality code
• Expertise in distributed systems, APIs, CI/CD, testing strategies, production observability, and clean architecture principles
• Experience collaborating with senior stakeholders to translate ambiguous concepts into scalable technical solutions with measurable enterprise impact
• Familiarity with AI governance, data security, prompt injection risks, access control, and enterprise compliance standards
• High ownership, curiosity, and the ability to deliver high-quality results in high-visibility environments with minimal supervision

• Base salary aligned with geographic zones: $204,500 – $290,000 USD depending on location and experience
• Eligibility for company-wide annual bonus program
• Equity ownership (RSUs) in a growing, privately held company
• Comprehensive medical, dental, and vision coverage with employer contributions
• 12 weeks paid parental leave, additional leave for birthing parents, and inclusive family planning support
• Flexible vacation, paid holidays, and sabbatical program
• Mental health resources, therapy, and coaching support
• 401(k) with 100% employer match (up to $6,000/year in the U.S.)
• Monthly stipends for work and wellness expenses
• Remote-first work environment with a strong culture of inclusion, equity, and team collaboration