NVIDIA

1 week ago

Senior Solutions Architect, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead technical delivery for strategic Agentic AI engagements with enterprise ISVs, guiding them from discovery and architecture through PoC, production readiness, rollout, and scale. Design agentic systems spanning multi-agent orchestration, tool use, and RAG-integrated applications, and conduct deep architecture reviews across quality, latency, cost, reliability, safety, security, and observability. Build PoCs and reusable blueprints while advising on model customization and post-training workflows.

Location: Santa Clara, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead technical delivery for strategic Agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale.
•Design and build enterprise-grade agentic systems including multi-agent workflows, tool-using agents, RAG-integrated applications, and guardrail patterns.
•Conduct deep architecture reviews with partner engineering teams across model quality, latency, efficiency, cost, retrieval quality, reliability, safety, security, and observability.
•Build hands-on PoCs, benchmarks, reference architectures, and reusable blueprints to move partners from exploration to production.
•Guide partners on model customization and post-training workflows including supervised fine-tuning, reinforcement learning methods, direct preference optimization, PEFT/LoRA, synthetic data generation, and evaluation.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
•8+ years of engineering, solutions architecture, applied ML, or technical deployment experience.
•Track record leading complex AI/ML, distributed systems, or enterprise software deployments from prototype to production.
•Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production or production-like environments.
•Strong programming/debugging skills in Python and Linux, with experience using PyTorch, TensorFlow, or similar deep learning frameworks.

Experience:8+ yearsEnterprise softwareAI/MLDistributed systems

Education:Bachelor's in Computer Science, Electrical Engineering, AI/ML

Skills:CommunicationProblem-solvingTechnical leadershipStakeholder management

Tech Stack:PythonLinuxPyTorchTensorFlowOpenShellOpenAI Agents SDKLangGraphLlamaIndexLangChainCrewAISemantic KernelOpenAIRAGLLMsNIMNeMo FrameworkNeMo RetrieverNeMo GuardrailsNeMo Agent ToolkitDynamo

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Senior Solutions Architect, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Santa Clara, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead technical delivery for strategic Agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale.
•Design and build enterprise-grade agentic systems including multi-agent workflows, tool-using agents, RAG-integrated applications, and guardrail patterns.
•Conduct deep architecture reviews with partner engineering teams across model quality, latency, efficiency, cost, retrieval quality, reliability, safety, security, and observability.
•Build hands-on PoCs, benchmarks, reference architectures, and reusable blueprints to move partners from exploration to production.
•Guide partners on model customization and post-training workflows including supervised fine-tuning, reinforcement learning methods, direct preference optimization, PEFT/LoRA, synthetic data generation, and evaluation.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
•8+ years of engineering, solutions architecture, applied ML, or technical deployment experience.
•Track record leading complex AI/ML, distributed systems, or enterprise software deployments from prototype to production.
•Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production or production-like environments.
•Strong programming/debugging skills in Python and Linux, with experience using PyTorch, TensorFlow, or similar deep learning frameworks.

Experience:8+ yearsEnterprise softwareAI/MLDistributed systems

Education:Bachelor's in Computer Science, Electrical Engineering, AI/ML

Skills:CommunicationProblem-solvingTechnical leadershipStakeholder management

Tech Stack:PythonLinuxPyTorchTensorFlowOpenShellOpenAI Agents SDKLangGraphLlamaIndexLangChainCrewAISemantic KernelOpenAIRAGLLMsNIMNeMo FrameworkNeMo RetrieverNeMo GuardrailsNeMo Agent ToolkitDynamo

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor