AI Native Software Engineering Senior Manager 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. We are seeking an AI Native Engineer with a minimum of 5 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. The Work: You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Responsibilities:

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. AI Platform Integration: Develop abstraction layers across AI providers to enable seamless integration and enablement. Cloud-Native Engineering: Leverage containerization, microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems. Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation. Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. What You Need:

Minimum of 10 years engineering experience with cloud-native systems. Minimum of 1 year of deep expertise in designing and deploying agentic solutions in production environments. Minimum of 7 years of experience with AI platforms — including building abstraction layers to manage multi-provider pipelines. Minimum of 10 years of experience programming in Python, Java, or equivalent. Minimum of 10 years of experience deploying to production — CI/CD, infrastructure as code, monitoring, and debugging. Minimum of 10 years of experience in client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity. Bachelor’s degree in Computer Science, Engineering, or equivalent. Bonus Points If:

You’ve served as an Agentic AI Engineer in an Enterprise environment. You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures. You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency. You’ve delivered solutions across multiple industries by tailoring agentic workflows to industry needs. We are an equal opportunities employer and welcome applications from all qualified candidates. We are committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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