ai solutions architect

Skm Group

<p>We're leading the development of a cutting edge <b>AI-driven event management system</b> to create a smart, seamless experience for attendees by incorporating state-of-the-art AI technologies. We&rsquo;re seeking an experienced <b>AI Solution Architect</b> to lead system architecture, guide development, and ensure scalability, performance, and innovation.</p><p><b>Key Responsibilities</b></p><ul><li>Own the end-to-end <b>AI architecture strategy</b>, ensuring robustness, scalability, and maintainability</li><li>Lead <b>cross-functional teams</b>, guiding the application of advanced AI techniques and best practices</li><li>Design and oversee the integration of AI services into a cloud-native ecosystem (Azure preferred)</li><li>Translate complex business needs into <b>technical AI solutions</b>, ensuring alignment across teams</li><li>Optimize data transformation pipelines and enable intelligent use of <b>large-scale datasets</b></li><li>Act as a bridge between technical teams and stakeholders, simplifying AI concepts and strategies</li></ul><p><b>Required Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in <b>Computer Science</b>, <b>Data Science</b>, or a related field</li><li>5+ years in <b>AI architecture</b>, ML systems, or advanced software design</li><li>Deep experience with <b>Azure AI services</b>, or alternatively <b>AWS</b>/<b>GCP</b></li><li>Proven track record designing <b>scalable AI platforms</b> and working with <b>big data</b></li><li>Strong leadership, stakeholder management, and communication skills</li></ul><p><b>What do we offer you?</b></p><ul><li>Attractive salary</li><li>Large freedom and real influence</li><li>No unhealthy competition, team approach to meeting challenges</li><li>Remote-first, flexible working culture</li><li>Company apartments in cool cities across Europe: work and enjoy a memorable getaway</li></ul><p><b>About Us</b></p><p>We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions &mdash; always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.</p><p>Job Type: Full-time</p><p>Pay: Up to &#65020;42,000.00 per month</p><p>Experience:</p><ul><li>AI solution architecture: 3 years (Required)</li></ul>

AI Solutions Architect [J206]

NorthBay - Pakistan

<div>
 <strong>
  Job Title:
 </strong>
 Technology Lead &ndash; AI/ML &amp; GenAI
 <br/>
 <br/>
 <strong>
  Experience:
 </strong>
 12+ Years
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi, UAE
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 NorthBay Solutions is seeking an accomplished
 <strong>
  Technology Lead
 </strong>
 with a strong track record in
 <strong>
  Generative AI (GenAI), AI/ML, and enterprise architecture
 </strong>
 . This role is ideal for a senior professional who can
 <strong>
  design and deliver AI-powered enterprise solutions
 </strong>
 , lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.
 <br/>
 <br/>
 You will be the
 <strong>
  technical authority
 </strong>
 for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.
 <br/>
 <br/>
 <strong>
  Core Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.
  </li>
  <li>
   Lead a team of 8&ndash;12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.
  </li>
  <li>
   Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.
  </li>
  <li>
   Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.
  </li>
  <li>
   Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Expertise Required
  <br/>
  <br/>
 </strong>
 <strong>
  Generative AI Leadership (3+ Years) &ndash; PRIMARY
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.
  </li>
  <li>
   Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations.
  </li>
  <li>
   Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains.
  </li>
  <li>
   Expertise in advanced prompt engineering and Chain-of-Thought techniques.
  </li>
  <li>
   Proven track record delivering 3+ production-grade GenAI applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI/ML Foundation (4&ndash;5 Years)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.
  </li>
  <li>
   Full lifecycle management of ML models, from development to monitoring in production.
  </li>
  <li>
   Seamless integration of AI/ML models into enterprise-grade applications and platforms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise Architecture &amp; Deployment (8+ Years)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong background in full-stack development (MERN stack or equivalent).
  </li>
  <li>
   Deployment expertise across on-premises, cloud, and hybrid environments.
  </li>
  <li>
   Advanced Kubernetes skills for orchestration and scaling.
  </li>
  <li>
   Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).
  </li>
  <li>
   Proven ability to design and manage APIs and microservices (REST, GraphQL).
  </li>
  <li>
   DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cloud &amp; Infrastructure
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep knowledge of AWS, Azure, or GCP with ML/AI services.
  </li>
  <li>
   AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway.
  </li>
  <li>
   Strong grasp of hybrid cloud architectures integrating AI/ML workloads.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Proven Delivery
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.
  </li>
  <li>
   Demonstrated team leadership experience with measurable outcomes.
  </li>
  <li>
   Strong focus on delivery excellence, scalability, and long-term maintainability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   (Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).
  </li>
  <li>
   Excellent communication and stakeholder management skills.
  </li>
  <li>
   Solid experience in Agile/Scrum leadership, driving productivity and team performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Candidate Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Priority expertise:
  </li>
  <ul>
   <li>
    Generative AI Leadership
   </li>
   <li>
    AI/ML Foundation
   </li>
   <li>
    Enterprise Architecture &amp; Hybrid Deployments
   </li>
  </ul>
  <li>
   A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.
  </li>
 </ul>
</div>


Technology Lead – GenAI

Lucidya | لوسيديا

<div>
 Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
 <br/>
 <br/>
 We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
 <br/>
 <br/>
 As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya's platform.
 <br/>
 <br/>
 We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
 <br/>
 <br/>
 <strong>
  Key Tasks &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement the architecture of Lucidya's AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
  </li>
  <li>
   Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
  </li>
  <li>
   Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
  </li>
  <li>
   Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
  </li>
  <li>
   Architect scalable and secure agent-tool interactions (e.g., CRM, analytics APIs, external systems).
  </li>
  <li>
   Ensure AI solutions align with product goals and deliver measurable business value.
  </li>
  <li>
   Design short-term and long-term memory architectures for agents.
  </li>
  <li>
   Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
  </li>
  <li>
   Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
  </li>
  <li>
   Define observability standards for monitoring, debugging, and improving agent behaviors.
  </li>
  <li>
   Produce clear design documentation, specifications, and best practices for AI agent development.
  </li>
  <li>
   Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
  </li>
  <li>
   Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
  </li>
  <li>
   Mentor engineers on agent orchestration and AI architecture best practices.
  </li>
  <li>
   Act as the subject matter expert and key driver of agentic AI within Lucidya
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA/BS or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  </li>
  <li>
   5+ years of experience in AI/ML development with a proven track record in AI system architecture.
  </li>
  <li>
   Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
  </li>
  <li>
   Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
  </li>
  <li>
   Proficiency in programming languages such as Python (Java or equivalent a plus).
  </li>
  <li>
   Hands-on experience with ML frameworks (TensorFlow, PyTorch).
  </li>
  <li>
   Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
  </li>
  <li>
   Experience with natural language processing and modern NLP libraries.
  </li>
  <li>
   Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights &amp; Biases, Docker, Kubernetes).
  </li>
  <li>
   Solid grounding in software architecture principles and distributed systems.
  </li>
  <li>
   Strong analytical and problem-solving skills with an innovative mindset.
  </li>
  <li>
   Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
  </li>
  <li>
   Collaborative team player with the ability to lead discussions on AI system design
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Why Join Us?
   <br/>
   <br/>
  </strong>
 </strong>
 This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 <br/>
 <br/>
 We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>


AI Agent Architect (Saudi-based only)

EXL Service

Job Description: Job Title: Generative AI Architect Business Unit: EXL Digital - AI &amp; Analytics Primary Domain: Insurance / Healthcare / Financial Services Job Summary: We are seeking a visionary Generative AI Architect with strong hands-on experience to lead the design and deployment of intelligent solutions leveraging Large Language Models (LLMs), agentic frameworks, and advanced NLP techniques. This role emphasizes deep expertise in LangChain, LangGraph, agentic workflows to build scalable, enterprise-grade generative AI systems across insurance, healthcare, and financial services. Key Responsibilities: Architect modular GenAI solutions using LLMs (e.g., GPT, Claude, LLaMA, Mistral) with a focus on LangChain , LangGraph and RAG. Design and implement agent-based systems capable of reasoning, tool use, API integration, and memory management using LangChain agents and LangGraph-based workflows. Design robust, cloud-native AI platforms capable of handling large-scale data pipelines and complex machine learning models (AWS/Azure/GCP) Develop and prototype intelligent assistants, document automation systems, and NLP tools. Build robust RAG architectures with vector databases (e.g., FAISS, Pinecone) and embedding models for domain-specific search and document intelligence. Translate complex business problems into generative AI use cases in areas such as underwriting automation, claims triage, policy analysis, and customer support. Collaborate with cross-functional teams including data scientists, engineers, and domain SMEs to drive successful AI solution delivery. Continuously evaluate and benchmark LLMs, agent orchestration tools, and GenAI platforms (e.g., OpenAI, Hugging Face, LlamaIndex). Optimize performance and scalability for LLM-based systems deployed in production, ensuring low latency, secure data handling, and ethical AI compliance. Evangelize GenAI innovations internally and with clients via PoCs, demos, and technical workshops. Good to Have: Develop structured AI pipelines using the MCP framework to clearly define model invocation logic (Model), contextual understanding and memory (Context), and input/output protocols (Protocol) for repeatable, enterprise-scale use cases Qualifications: 7 + years of experience in AI/ML, including 3+ years specializing in NLP and Generative AI. Proven hands-on expertise with LLMs such as GPT, Claude, LLaMA, Mistral, and BERT, including both open-source and commercial APIs (e.g., OpenAI, Anthropic). Deep understanding of LLM architecture and operations, including prompt engineering, function calling, tool use, memory management, context handling, and token optimization. Strong experience building Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models. Proficient with GenAI frameworks including LangChain, LangGraph, and LlamaIndex, with a solid grasp of agent orchestration and workflow design. Advanced programming skills in Python, with hands-on experience using PyTorch, Transformers, and the broader Hugging Face ecosystem. Demonstrated ability to design, prototype, and deploy enterprise-ready AI solutions in production environments.<br><div></div><br><div></div>

Assistant Vice President

Accenture

<p><b>Project Role : </b>Responsible AI Tech Lead<br>
<b>Project Role Description : </b>Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.
<br>
<b>Must have skills : </b>Microsoft Azure AI foundry, Infogix<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>12</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As an Azure AI Foundry Architect/ Tech Lead, you will lead the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving innovation in enterprise-grade AI adoption. Acting as a Subject Matter Expert (SME), you will collaborate with multiple teams to deliver secure, efficient, and responsible AI systems, while providing technical leadership and enabling organizational transformation through Microsoft&rsquo;s AI ecosystem. Roles &amp; Responsibilities: &bull; Serve as the Architect for Microsoft Azure AI Foundry and Agentic AI . &bull; Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry. &bull; Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption. &bull; Ensure AI workloads meet enterprise security, compliance, and governance requirements. &bull; Lead and mentor teams, ensuring accountability and high-quality delivery. &bull; Partner with cross-functional teams to make key architecture and solution design decisions. &bull; Provide scalable solutions for multi-team AI initiatives across the enterprise. &bull; Facilitate workshops and training to upskill teams on Azure AI Foundry, orchestration, and governance. &bull; Monitor solution performance, optimize pipelines, and align outcomes with business goals. Professional &amp; Technical Skills: &bull; Proven expertise in Microsoft Azure AI Foundry and Agentic AI Architecture (minimum 7.5 years hands-on experience in Azure AI/ML technologies) &bull; Strong understanding of AI governance, observability, and compliance frameworks. &bull; Experience designing and deploying AI pipelines on Microsoft Azure. &bull; Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.). &bull; Ability to analyze large-scale AI workloads and optimize for performance, scalability, and cost-efficiency. &bull; Strong leadership and stakeholder engagement skills. &bull; Familiarity with regulatory requirements for enterprise AI adoption. Additional Information: - The candidate should have minimum 10 years of experience in Microsoft Azure PaaS, minimum 7.5 years hands-on experience in Azure AI/ML technologies - A 15 years full time education is required.</p>
<br>
15 years full time education

Responsible AI Tech Lead

Wipro

<div><p>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2></div><div><p><b>
Role Purpose</b></p><p>
The purpose of the role is to design, and architect VLSI and Hardware based products and enable delivery teams to provide exceptional client engagement and satisfaction.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
&#847;</b></h2></div><div><p><b>
Title: </b>Data Science Architect.</p><p><b>
Location</b> &ndash; Gurgaon / Noida</p><ul><li>
Machine Learning, Data Science, Model Customization [4+ Years]<ul><li>
Exp with performing above on cloud services e.g AWS SageMaker and other tools</li></ul></li><li>
AI/ Gen AI skills: [1 or 2 years]<ul><li>
MCP, RAG pipelines, A2A, Agentic / AI Agents</li><li>
Framework &ndash; Auto Gen, Lang graph, Lang chain, codeless workflow builders etc</li></ul></li></ul><p><b>
Role &amp; Responsibilities</b></p><ul><li>
Build working POC and prototypes rapidly.</li><li>
Build / integrate AI driven solutions to solve the identified opportunities, challenges.</li><li>
Lead cross &ndash; functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits.</li><li>
Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI.</li><li>
Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders.</li><li>
Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.</li></ul><p><b>
Relevant IT Experience:</b></p><ul><li>10+ years of relevant IT experience in given technology</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
&#847;</b></h2></div><div><div><div><div><b>
No</b><b>.</b></div><div><b> Performance Parameter</b></div><div><b> Measure</b></div></div><br>
<div><div>
1.</div><div> Product design, engineering and implementation</div><div> CSAT, quality of design/ architecture, FTR, delivery as per cost, quality and timeline, POC review and standards</div></div><br>
<div><div>
2.</div><div> Capability development</div><div> % trainings and certifications completed, mentor technical teams, Thought leadership content developed (white papers, Wipro PoVs)</div></div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
&#847;</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>
Competencies</b></h2></div><div><div>
Client Centricity</div><div>
Passion for Results</div><div>
Learning Agility</div><div>
Problem Solving &amp; Decision Making</div><div>
Effective communication</div></div></div></div><p>
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions.</p><p>
Applications from people with disabilities are explicitly welcome.</p></div>

Data Science GenAI Architect

NVIDIA

<div><p>As a Solutions Architect, AI Infrastructure at NVIDIA, you will have the ground breaking opportunity to lead the charge in deploying innovative AI solutions. Our world-class team is dedicated to pushing the boundaries of what is possible with AI and accelerated computing. Your expertise will help us continue to compete at the highest level and drive flawless execution in our projects!</p><p></p><p><b>
What you'll be doing:</b></p><ul><li><p>
Working with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments.</p></li><li><p>
Guiding customer discussions on network topologies, compute/storage, and supporting the bring-up of server/network/cluster deployments.</p></li><li><p>
Identifying new project opportunities for NVIDIA products and technology solutions in data center and AI applications.</p></li><li><p>
Conducting regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions.</p></li><li><p>
Building custom demonstrations and proofs of concept to address critical business needs.</p></li><li><p>
Analyzing and debugging compute/network performance issues.</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience.</p></li><li><p>
5+ years of experience in Solution Engineering or similar roles.</p></li><li><p>
System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers.</p></li><li><p>
Practical knowledge of networking - switching &amp; routing for Ethernet/Infiniband, and data center infrastructure (power/cooling).</p></li><li><p>
Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes.</p></li><li><p>
Effective time management and ability to balance multiple tasks.</p></li><li><p>
Excellent communication skills for articulating ideas and code clearly through documents and presentations.</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:</b></p><ul><li><p>
External customer-facing skills and experience.</p></li><li><p>
Experience with the bring-up and deployment of large clusters.</p></li><li><p>
Proficiency in systems engineering, coding, and debugging, including C/C++, Linux kernel, and drivers.</p></li><li><p>
Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU or equivalent experience, RoCE, InfiniBand), and/or ARM CPU solutions.</p></li><li><p>
Familiarity with virtualization technology concepts.</p></li></ul><p></p><p>
If you are an exceptionally skilled Solutions Architect with a passion for AI and a proven track record in engineering, we want to hear from you. Join us in our mission to redefine the future of computing!</p><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until October 3, 2025.<p></p>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Solutions Architect, AI Infrastructure

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