AI Solutions Architect

Altera • San Jose, CA

1d • Onsite

About The Position

We are seeking an AI Solutions Architect to design and deliver end-to-end AI solutions that solve real customer and business problems. This role partners with engineering, FAE, marketing and sales teams to translate requirements into scalable architectures, validate them through prototypes, and drive successful production deployments across cloud and/or edge environments. Altera provides leadership programmable solutions that are easy-to-use and deploy in applications from cloud to edge, offering limitless AI possibilities. Our end-to-end broad portfolio of products including FPGAs, CPLDs, Intellectual Property, development tools, System on Modules, SmartNICs and IPUs provide the flexibility to accelerate innovation. Altera is helping to shape the future through pioneering innovation that unlocks extraordinary possibilities for everyone on the planet.

Requirements

• BS/MS in Computer Science, Computer Engineering, Data Science, or equivalent practical experience.
• 15+ years of experience in AI/ML engineering, or solutions architecture
• Hands-on experience delivering ML solutions end-to-end (data pipelines, model serving, monitoring, benchmarking) with measurable business impact.
• Strong programming skills in Python and at least one additional language (e.g., C++); ability to read and review production code.
• Experience with modern ML frameworks and tooling (e.g., PyTorch, TensorFlow, vLLM, llama.cpp).
• Solid understanding of generative AI models such as Deepseek, Qwen, GPT and other models and basic statistics/ML concepts (bias/variance, evaluation metrics, overfitting, calibration).
• Experience with cloud architecture (AWS, Azure, or GCP)

Nice To Haves

• PhD. preferred

Responsibilities

• Provide technical leadership across cross-functional teams; review designs, unblock engineering, and ensure solution quality through architecture and code reviews.
• Analyze AL/ML models and provide guidance on how to implement them on the FPGA, requiring detailed model analysis, and optimization for FPGA
• Design reference architectures for AI/ML systems, including data ingestion, feature pipelines, model inferencing, evaluation, serving, benchmarking, and continuous improvement.
• Architect and implement Generative AI solutions (when applicable) such as RAG, agentic workflows, prompt engineering patterns, guardrails, and evaluation frameworks, on FPGA platforms.
• Select appropriate software framework and justify trade-offs throughput, latency, and manageability.
• Build prototypes and proofs-of-concept (PoCs) to validate feasibility, performance, and value; turn successful PoCs into production-grade designs.
• Create high-quality technical documentation (architecture diagrams, application and user guide) and present solutions to technical and executive stakeholders.
• Engage with customers and partners in pre-sales and delivery contexts; deliver demos, technical deep-dives, and solution proposals.

Benefits

• incentive opportunities that reward employees based on individual and company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal