AI Solutions Architect

Altera; United States; On-site; USD 210,000 - 303,000; Full time

Job summary

Altera in San Jose, California, seeks an AI Solutions Architect to design and deliver end‑to‑end AI solutions across cloud and edge. You will translate requirements into scalable architectures, validate through PoCs, and drive production deployments while collaborating with engineering, FAE, marketing and sales teams.

The role requires deep ML/AI expertise, strong Python and other language skills, and experience with modern ML frameworks.

Qualifications

• BS/MS in CS/CE/DS or equivalent practical experience.
• PhD preferred; 15+ years AI/ML engineering or solutions architecture.
• Hands-on experience delivering ML solutions end-to-end (data pipelines, model serving, monitoring, benchmarking).
• Strong Python and at least one other language (e.g., C++).
• Experience with modern ML frameworks (PyTorch, TensorFlow, vLLM, llama.cpp).
• Cloud architecture experience (AWS, Azure, or GCP).

Responsibilities

• Provide technical leadership across cross‑functional teams; review designs, unblock engineering, and ensure solution quality through architecture and code reviews.
• Analyze AI/ML models and optimize 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 on FPGA platforms (RAG, agentic workflows, prompt engineering patterns).
• Select appropriate software frameworks and justify trade‑offs throughput, latency, and manageability.
• Build prototypes and PoCs to validate feasibility, performance, and value; turn PoCs into production‑grade designs.
• Create high‑quality architecture diagrams and user guides; present solutions to technical and executive stakeholders.
• Engage with customers and partners in pre‑sales and delivery contexts; deliver demos and technical deep‑dives.
• Applicants must be eligible for any required U.S. export authorizations.

Skills

AI/ML engineering

End-to-end ML deployment

Python programming

Model evaluation & benchmarking

Generative AI concepts

Cloud architecture (AWS/Azure/GCP)

Education

BS/MS in Computer Science, Computer Engineering, Data Science, or equivalent practical experience

PhD preferred

Tools

PyTorch

TensorFlow

vLLM

llama.cpp

Job description

Job Details

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.

Responsibilities

• Provide technical leadership across cross‑functional teams; review designs, unblock engineering, and ensure solution quality through architecture and code reviews.
• Analyze AI/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.
• Applicants must be eligible for any required U.S. export authorizations.

Compensation

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job‑related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance. $209.5K - $303.2K USD

Qualifications

• BS/MS in Computer Science, Computer Engineering, Data Science, or equivalent practical experience.
• PhD. preferred 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).

Travel & Location

• Travel: As needed (typically up to 25%).
• Job Type: Regular.
• Shift: Shift 1 (United States of America).
• Primary Location: San Jose, California, United States.
• Additional Locations: [Not specified].

Equal Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance.

About Altera

Accelerating Innovators 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.