AI Solutions Architect

Job Details: Job Description: 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 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. 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 We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations. 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: 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: Posting 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 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. Don't see the dream job you are looking for? Click "Get Started" below to drop off your contact information and resume and we will reach out to you if we find the perfect fit.