Qualcomm · 11 hours ago
AI Architecture & Governance Leader Enterprise AI Platforms
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$193K/yr - $289K/yr
10+ years expQualcomm Incorporated is a leading technology company, and they are seeking an AI Architecture & Governance Leader to drive the design and responsible adoption of AI across the enterprise. This role involves establishing a governance ecosystem, guiding AI platform strategy, and ensuring compliance and security in AI solutions.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
Define end‑to‑end AI solution architectures (cloud & on‑prem) including model serving, RAG/LLM patterns, vector indexing, data integration, and observability
Establish reference architectures, “golden paths,” and reusable templates that integrate with the enterprise AI platform
Lead evaluations and POCs of AI capabilities (LLM serving engines, vector DBs, orchestration frameworks, evaluation toolchains, guardrails)
Partner with Enterprise Architecture to align AI patterns with enterprise standards, security, and roadmaps
Guide the design of scalable inference topologies (GPU/CPU, autoscaling, caching, batching, token optimization) and performance tuning
Stand up and run a federated, collaborative AI governance council with clear RACI across business, security, legal, compliance, and data teams
Define and enforce policies across the AI lifecycle: model/data catalogs, lineage, approvals, evaluations, bias/fairness testing, usage controls, and retention
Implement model/data registries, adapter/prompt catalogs, and change control with traceability from use case → model → dataset → deployment
Operationalize Responsible AI: safety guardrails, prompt/response policies, red‑teaming, monitoring for drift/toxicity, and human‑in‑the‑loop controls
Ensure AI supply‑chain security (licenses, provenance, SBOMs, model signing), privacy, and regulatory compliance
Run intake, triage, and prioritization of AI and agentic automation use cases; align with business OKRs and platform strategy
Shape success metrics and delivery roadmaps in partnership with product, data, security, and engineering teams
Drive build/partner/buy analyses and vendor selections; negotiate guardrail requirements and SLAs
Provide hands‑on guidance to product squads on decomposition, MVP scoping, and path‑to‑production
Define architecture and governance for agentic automation (LLM‑based agents, tools, skills) and RPA integrations
Establish patterns for secure tool invocation, approvals, auditability, and exception handling across business processes
Define SLOs/SLIs for AI services; implement robust logging, tracing, and evaluation pipelines (quality, latency, cost)
Build cost governance and FinOps practices for AI workloads (token usage, GPU utilization, autoscaling policies)
Lead incident response and post‑incident reviews for AI systems; drive continuous improvement
Evangelize best practices, create enablement materials, and mentor architects/engineers and product managers
Drive alignment across security, data, platform, and enterprise architecture; foster a culture of responsible innovation
Qualification
Required
10+ years in software/AI/ML engineering, platform or enterprise architecture, with 5+ years in a leadership role managing cross‑functional initiatives
Engineering degree (Computer Science, Electrical/Computer Engineering, or related)
Proven experience defining AI solutions architectures (cloud & on‑prem), including LLM/RAG patterns and model lifecycle
Strong understanding of AI inference—throughput/latency trade‑offs, batching/caching, GPU/CPU sizing, quantization, token optimization
Demonstrated Enterprise AI Governance experience (policies, approvals, model/data lineage, risk/compliance, Responsible AI)
Hands‑on with Kubernetes (Helm/Kustomize, autoscaling, service mesh, GPU operators) and LLM serving engines (e.g., vLLM, TensorRT‑LLM, Triton, KServe/Seldon, Ray Serve)
Experience with agentic automation frameworks (e.g., LangGraph, Semantic Kernel, AutoGen) and RPA (e.g., Microsoft Power Automate, UiPath, Automation Anywhere)
Excellent full‑stack web & mobile architecture knowledge (APIs, eventing, microservices, identity/authorization, mobile backends)
Experience as a Technical Product Manager or close TPM partnership—portfolio planning, vendor evaluation, and stakeholder management
Working knowledge of the enterprise IT ecosystem (identity, networking, security, data platforms, DevSecOps, compliance)
Strong communication and executive‑level storytelling; ability to influence and drive consensus across diverse stakeholders
Preferred
Familiarity with Enterprise Architecture frameworks and tools (e.g., TOGAF, Zachman; LeanIX/Ardoq/Sparx EA)
Experience operating AI platforms at scale (multi‑tenant, multi‑cloud/on‑prem), including GPU scheduling (NVIDIA GPU Operator/MIG) and edge/hybrid scenarios
Knowledge of MLOps/LLMOps toolchains (MLflow, Databricks/Mosaic AI, Vertex AI, Azure AI/ML, SageMaker; model/data catalogs and evaluators)
Experience with vector databases and RAG components (e.g., Azure AI Search, Pinecone, Weaviate, Milvus), and feature stores (e.g., Feast)
Observability expertise (OpenTelemetry, Prometheus/Grafana) and AI quality monitoring (e.g., human feedback, eval pipelines, drift detection)
Security, privacy, and compliance background (policy‑as‑code with OPA/Kyverno, model/content safety, data masking, DLP, encryption)
Certifications: TOGAF, CKA/CKS, major cloud AI certifications (Azure/AWS/GCP), or Responsible AI training
Experience establishing governance councils and federated operating models across business units
Track record delivering agentic automations that integrate with enterprise systems (ERP/CRM/ITSM) with measurable ROI
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1752)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President and Chief Executive Officer
I
Isaac Eteminan
CEO
Recent News
2025-12-31
2025-12-31
2025-12-30
Company data provided by crunchbase