Principal Engineer, Agentic AI Solutions Lead – Industrial & Embedded IoT, Edge AI On‑Prem Appliance

Qualcomm is a global leader in connected intelligent edge, focusing on AI, edge computing and connectivity. They are seeking a Principal Agentic AI Solutions Architect to define, develop, and own scalable blueprints for AI solutions, collaborating closely with customers and internal teams to tailor deployments across various industries.

Responsibilities:

• Own AI solution blueprints: Design, develop, document, and maintain reference designs and delivery playbooks that accelerate repeatable Agentic AI/GenAI/Hybrid‑AI deployments on AI on-prem Appliance across priority verticals Lead the design of GenAI blueprints using LLMs, RAG, and agentic workflows to solve enterprise challenges across domains like knowledge management, customer support, and analytics
• Agentic AI: Architect and implement agentic workflows (multi‑agent planning, tool use/function calling, memory, safety) using Qualcomm platforms and industry frameworks; define KPIs and evaluation loops. Architect intelligent multi-agent systems with long-horizon reasoning, tool use, and orchestration frameworks (e.g. LangChain, LlamaIndex) to automate complex workflows
• Vertical customization: Partner with Product Management, Account Managers, Regional teams, Engineering and field teams to adapt blueprints to customer‑specific requirements/KPIs, data, infrastructure, privacy/security, and compliance constraints; drive solution acceptance and production hand‑off
• Be hands‑on: Proficient in SW skills; Design and develop reference designs, Build POCs and pilot systems; instrument, profile, and optimize models and pipelines end‑to‑end (latency, throughput, accuracy, cost, power/thermals, footprint). Deliver hands-on prototypes, demos, and reference architectures (e.g. chatbots, summarizers, multimodal assistants) that scale to production and showcase Qualcomm’s GenAI stack
• Multi‑model AI expertise: Apply and integrate LLMs, VLMs, VLAs, CV/CNN, and NLP stacks; select/quantize/prune/distill models; tune adapters; and integrate guardrails, retrieval, and evaluation frameworks. Build and optimize RAG pipelines with vector databases and semantic search to enable fast, context-rich LLM responses; fine-tune and deploy models on Cloud AI 100 Ultra and other accelerators
• Solutions focus: Deliver production‑grade patterns for video analytics, enterprise GenAI (RAG, document AI, code & task copilots), and multimodal agents that interact with enterprise systems and tools
• Hybrid AI architecture: Partition workloads across on‑device AI for a variety of edge devices, on‑prem/edge boxes, and cloud AI; orchestrate data, models, and agents; design for offline/online modes, observability, and device management
• Customer focus: Engage with customers from discovery to scale‑out; translate business objectives into measurable technical requirements; lead design reviews, roadmap alignment, and executive readouts
• Cross‑functional leadership: Work with CE, Product Management, Solutions, Platform SW, Performance, Security, and Research to leverage existing knowledge and infrastructure, land features in reference design releases, software roadmaps and deliver outcomes
• Innovation and Thought leadership: Create best‑practice guides, participate at leading industry events and workshops; stay abreast on the latest tech developments in the field, be aware of the competitive landscape, mentor engineers