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Principal AI Engineer - Hybrid

Milpitas, California, United States
Up to $286,375/ year
Artificial Intelligence Engineer Machine Learning Engineer
Actively hiring

Principal AI Engineer - Hybrid

BMC Software
Milpitas, California, United States
Up to $286,375/ year
Artificial Intelligence Engineer Machine Learning Engineer
BMC Software
Actively hiring

hackajob is partnering with BMC Software to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

We are looking for a Principal AI Engineer to build our next-generation Agentic AI platform from 0-1. This is a hands-on, delivery-driven role for a senior engineer who has shipped AI-powered products into real enterprise environments, understands the trade-offs of production AI systems, and takes full ownership of outcomes — not just models or demos.You will work alongside our VP of Engineering, VP of AI and product leadership to define and build the core AI systems of the platform. You will spend most of your time designing, coding, and shipping production-grade AI capabilities used by external B2B customers. Success is measured by reliability, controllability, cost-efficiency, and customer impact — not novelty.

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:

* Design, build, and evolve agentic AI systems that reason, plan, execute, and adapt in production environments.
* Take AI-driven features from concept to production in a true 0-1 product environment.
* Write and review high-quality production code (Python-first) across AI pipelines, inference services, orchestration layers, and supporting systems.
* Implement prompt engineering, tool use, memory, evaluation, and guardrails as first-class engineering concerns, not experiments.
* Design agent frameworks that balance autonomy with determinism, observability, and safety.
* Make pragmatic architectural trade-offs across latency, cost, accuracy, scalability, and maintainability.
* Integrate and operate LLMs (commercial and/or open-source) including model selection, fine-tuning strategies, embeddings, retrieval (RAG), and inference optimization.
* Address real-world issues: hallucinations, drift, prompt regressions, failure modes, and customer trust.
* Deploy and operate AI services across cloud platforms (AWS, Azure, GCP), including secure enterprise integrations and customer-specific deployments.
* Design scalable inference and orchestration architectures using containers, APIs, and distributed systems.
* Ensure the platform is shippable, debuggable, and supportable — not fragile or research-grade.
* Act with founder-level ownership: identify gaps, propose solutions, and move forward without waiting for perfect requirements.

hackajob is partnering with BMC Software to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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