Principal Innovation Developer – Cloud & AI

Description

The company is a global edge-to-cloud business that helps customers connect, protect, analyze and act on their data and applications, from edge to cloud.

This is a job level TCP05 Innovation Engineer role in the Engineering job family, within the Hybrid Cloud CTO organization. It is a senior individual contributor position.

You will work on incubation projects in AI, cloud-native architecture and emerging software. Alongside technical leads and cross-functional partners, you will build and test advanced solutions for internal teams and external customers.

Responsibilities

• Own the design and build of key components on complex AI and cloud-native incubation projects as a senior hands-on contributor.
• Lead teams of 5-6 engineers from several disciplines through the full life of concept development, working with many stakeholders.
• Assess and bring in new software technologies, such as Generative AI frameworks (LLMs, RAG, LangGraph, Knowledge Graphs, ADK, A2A).
• Design, build and validate microservices and cloud-native systems that run across public cloud, datacenter and edge environments.
• Help shape architecture decisions so solutions meet targets for scale, performance, security and reliability.
• Work closely with internal customers, technical leads and business stakeholders to match new technology to strategic goals.
• Run research spikes, proofs of concept and experiments to test feasibility and trade-offs.
• Write high-quality code with AI-assisted tools such as GitHub CoPilot, following solid practices for testing, validation, CI/CD and observability.
• Mentor team members at all levels and share knowledge on advanced software and AI topics.
• Handle several parallel projects in a changing setting with frequent context switches.

Requirements

• Hold a bachelor's or master's degree in computer science, information systems, AI/ML or a related technical field.
• Typically have 10-15 years of software development experience, with at least 3-5 years on cloud-native and AI/ML systems.
• Program strongly in Python and have worked with ML libraries such as PyTorch, TensorFlow and Transformers.
• Understand distributed systems, microservices and event-driven architectures well.
• Have hands-on experience with Kubernetes, Docker, REST APIs and cloud-native application development.
• Have built Generative AI solutions using LLMs, RAG, LangGraph or similar frameworks.
• Have working knowledge of vector databases, graph, NoSQL and RDBMS systems.
• Have deployed cloud solutions on AWS, Azure or GCP.
• Understand AI governance, security alignment and responsible AI principles.
• Work well in Agile teams using Scrum or Kanban.
• Have contributed to large-scale cloud service development environments.
• Preferred: experience with multi-agent systems and agent orchestration frameworks.
• Preferred: knowledge of Model Context Protocol (MCP) server development.
• Preferred: understanding of Google ADK and A2A protocol implementations.
• Preferred: knowledge graph design, construction and querying.
• Preferred: familiarity with ML Ops tools such as MLflow, Weights & Biases and LangSmith.
• Preferred: experience with observability platforms such as Prometheus, Grafana or OpenTelemetry.

Conditions

Hybrid role based in the United States, with an average of 2 days per week in a company office. The posting also gives an expected range of 2-3 days per week.

Base salary ranges: USD 165,500-313,500 in Colorado; USD 178,000-339,000 in Massachusetts; USD 157,000-361,000 in North Carolina and Texas.

Actual pay may differ based on location, experience, education, training or skill level. Variable incentives may be offered on top of base salary.

The estimated application closing date is December 15, 2026.

The company is an equal opportunity employer that makes decisions based on qualifications, merit and business need.

Benefits

• Health and wellbeing benefits covering physical, financial and emotional needs. US benefit details are published on the company's new-hire enrollment site.
• Career development programs, whether you want to become a subject expert or move into another division.
• Flexibility to manage work and personal needs.