Ai Model Architect

**Meet the Team**

We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we’re building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible — faster, leaner, and smarter.

We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.

If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.

**IMPACT**

As an Architect, you will be responsible for both mentoring a high-caliber team as well as hands-on design to deliver robust AI models and workflows that learn from, recommend, and optimize the uptime, quality, and performance of customer infrastructure. You’ll also guide strategic direction on resource utilization in generative AI systems, working cross-functionally to align product direction with infrastructure capabilities.

**Key Responsibilities**:

- Architect and design datasets from infrastructure and operational telemetry.
- Architect, select, and fine-tune/train AI and Generative AI model that can detect patterns on time series datasets.
- Fine-tune and train AI and Generative AI models that can interreact with tools and take actions.
- Understanding k8s and other infrastructure components and their usages.
- Build Model Context Protocol (MCP) tools to support Agentic Workflows
- Demonstrate a deep understanding of AI frameworks that support Nvidia and AMD GPUs.
- Plan and coordinate software engineering work, map tasks to releases, conduct code reviews, and resolve technical challenges to unblock releases.
- Generate architecture specifications and build proof-of-concept (POC) solutions for clarity when needed.
- Collaborate with product management to understand customer requirements and build architecturally sound solutions. Work closely with engineers on implementation and track progress to ensure alignment with architectural requirements.

**Minimum Qualifications**:

- Demonstrable experience in following
- AI and Generative AI model training and fine-tuning.
- KV Cache management and context length impact in LLM inferencing.
- Python, PyTorch, TensorRT and other AI frameworks
- CUDA, Nsight and other nvidia tools.
- vLLM, LLM-D and other runtime for LLMs.
- Comprehensive understanding of software release processes
- Proficiency in using agents building pipelines.
- Bachelor’s degree or equivalent with 10+ years of engineering experience.

**Preferred Qualifications**:- Demonstrable technical leadership through publish papers in industry conferences and publications, and issued patents
- Proven leadership experience in architecture and design of Retrieval Augmented Generation workflows.
- Demonstrable experience collecting and using system metrics in AI training/fine-tuning and inference
- Master’s degree or equivalent.

**#WeAreCisco**

WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do

U.S. employees have **access** to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attai