Software Developer, AI Engineer (Applied​/Software), Machine Learning​/ ML Engineer

Job Description

In this role you will lead the design and development team to build advanced AI applications powered by AI models. You will use AI/ML to automate, optimize, and secure networks, focusing on tasks like self-provisioning, auto-ingesting, auto-qualifying systems and self-healing networks, requiring skills in Python, ML frameworks, training AI models, and an understanding of networking protocols, data center designs, infrastructure as a service, network monitoring and network automation.

In this role you will lead the design and development team to build advanced AI applications powered by AI models. You will use AI/ML to automate, optimize, and secure networks, focusing on tasks like self-provisioning, auto-ingesting, auto-qualifying systems and self-healing networks, requiring skills in Python, ML frameworks, training AI models, and an understanding of networking protocols, data center designs, infrastructure as a service, network monitoring and network automation.

As a Principal AI Developer in the Networking Org, you will be responsible for building and optimizing large-scale AI systems, ensuring scalability, reliability, and performance. The candidate should be able to work collaboratively with cross-functional teams to drive the development and deployment of AI solutions. If you have a passion for building cutting‑edge AI applications and are looking for a challenging role, we encourage you to apply.

Strong problem‑solving skills, attention to detail, and excellent communication skills are essential for this role.

• Design and implement scalable orchestration for serving and training AI/ML models.
• Explore and incorporate contemporary research on AI, agents, and inference systems into the software stack for designing, monitoring, troubleshooting and deploying networks.
• Evaluate, Integrate, and Optimize technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.
• Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine‑tuning.
• Design and develop scalable services and tools to support GPU‑accelerated AI pipelines, Python/Go, and observability frameworks.

• Strong Python and ML frameworks (PyTorch, Tensor Flow)
• LLMs, embeddings, vector search, RAG pipelines, and fine‑tuning
• Data engineering:
  Spark, Kafka, Flink, OCI Streaming/Data Flow
• Distributed systems and large‑scale training/inference
• Handling network telemetry (Net Flow, packet captures, streaming telemetry)
• Network automation frameworks (Terraform, Ansible, NAPALM, Batfish is a plus)
• Containerization, model serving, GPU workflows, CI/CD, and MLOps tools
• Writing design docs, scoping features, and owning delivery end‑to‑end

BSEE, BSCS, BSCE, or equivalent. MSEE, MSCS, or MSCE is a plus. At least 7+ years of experience building software systems and prior experience building AI applications training models.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

US:
Hiring Range in USD from: $114,600 - $234,600 per year. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding…