Senior Manager, AI Engineering (Agent OS Platform)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, AI Engineering (Agent OS Platform) in United States.

This is a high-impact leadership role at the forefront of building an enterprise-grade AI Agent OS that powers intelligent, role-specific experiences across complex business workflows. You will lead a small, highly technical engineering team responsible for designing and delivering the foundational platform that enables safe, observable, and scalable AI agents. The environment blends hands-on engineering leadership with deep system design ownership, requiring both strategic thinking and technical execution. You will shape how agents plan, act, remember, and learn across real-world operational systems. This role sits at the intersection of AI infrastructure, distributed systems, and applied LLM engineering, with direct influence on product capabilities used in mission-critical business operations. It is ideal for a builder-leader who thrives in fast-moving, ambiguity-rich environments and enjoys turning complex AI concepts into production-ready systems.

• Lead the design and delivery of the Agent OS platform, including agent runtime, workflow execution, planning, tool use, long-running processes, and failure recovery mechanisms that support reliable AI behavior at scale.
• Build and evolve context and memory systems, including retrieval pipelines, tenant-aware memory, provenance tracking, and replayable evidence structures for agent decision-making.
• Define and implement the capability platform that standardizes reusable agent functionalities, including tools, prompts, policies, evaluation frameworks, and rollout controls.
• Develop the action and trust layer ensuring secure, governed, and auditable execution of agent actions with approvals, permissions, idempotency, and rollback capabilities.
• Drive evaluation and observability systems, including offline/online testing, simulation environments, regression detection, telemetry, and quality gates for AI behavior.
• Partner closely with cross-functional teams to integrate AI agents into enterprise systems while ensuring safety, reliability, and compliance with business rules and data governance standards.
• Guide architectural decisions and hands-on engineering work, including code reviews, debugging production issues, system design, and technical tradeoffs in model usage, latency, and cost optimization.
• Mentor and develop engineers while fostering a culture of technical excellence, ownership, and fast, high-quality delivery in a rapidly evolving AI environment.

Requirements:

• 8+ years of software engineering experience with at least 4+ years in engineering leadership roles or major technical ownership responsibilities.
• Strong hands-on engineering background with the ability to review code, debug distributed systems, and evaluate system behavior in production environments.
• Proven experience building or shipping AI, ML, platform, infrastructure, workflow automation, or developer platform systems in production.
• Deep understanding of modern LLM-based architectures, including prompt orchestration, tool calling, retrieval-augmented generation, memory systems, and agent workflows.
• Strong expertise in distributed systems, event-driven architectures, SaaS platforms, observability, and multi-tenant system design.
• Experience with production AI safety mechanisms such as permissioning, approvals, audit logs, structured tool execution, and failure handling.
• Strong evaluation mindset, including experience designing test scenarios, regression suites, simulation environments, and monitoring non-deterministic systems.
• Solid data intuition across structured and unstructured data, including SQL, vector search, metadata, and data provenance concepts.
• Excellent communication and leadership skills with the ability to align engineering, product, security, and executive stakeholders.
• Ability to operate effectively in ambiguous environments and translate strategy into clear technical execution plans.

Benefits:

• Competitive compensation with base salary range of approximately $223,600 – $299,100 USD, plus annual bonus and equity opportunities.
• Comprehensive healthcare coverage including medical, dental, and vision, with strong employer-paid contributions.
• Flexible time off policy and support for autonomous, high-impact work.
• Retirement benefits including 401(k) matching.
• Parental leave and extensive family support programs, including fertility, adoption, and surrogacy assistance.
• Wellness and mental health resources, including telehealth services and employee assistance programs.
• Learning and development opportunities, leadership training, and career growth programs.
• Additional perks such as financial planning tools, legal support services, pet insurance, and employee recognition programs.