AI Native Software Engineering Manager

About the Role

We are a forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

What You'll Do

• Embed directly with clients — acting as both technologist and trusted advisor — to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains
• Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability
• Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement
• Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems
• Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation
• Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption
• Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness
• Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps

Required Qualifications

• Minimum 5 years of experience building cloud-native solutions and programming in Python, Java, or equivalent
• Minimum 5 years of experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging
• Minimum 5 years of experience with client communication and collaboration, including leading technical workshops and delivering under ambiguity
• Minimum 3 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)
• Minimum 2 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines
• Minimum 1 year of expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments
• Bachelor's degree or equivalent (minimum 12 years) work experience; Associate Degree with minimum 6 years work experience also accepted

Preferred Qualifications

• Experience as an Agentic AI Engineer in an enterprise environment
• Additional AI certifications or agentic tool experience
• Experience defining or working with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures
• Understanding of the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency
• Experience delivering solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs

Pay & Benefits

Compensation varies depending on factors including office location, role, skill set, and experience. Benefits include medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

Schedule

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.