computing architect

ABIS

<div><p>ABIS is seeking a Computing and Cloud Architect for our SMP division, an essential role responsible for designing and implementing robust cloud infrastructures and computing solutions. In this position, you will leverage your expertise to develop strategic cloud architectures that align with business objectives and technical standards. You will evaluate current IT architectures, identify improvement opportunities, and lead the transition to cloud-based solutions while ensuring scalability, security, and performance optimization. Collaboration with cross-functional teams is key, as you will work closely with developers, operations, and project managers to implement architectural best practices and innovative solutions. As a Computing and Cloud Architect, your role will be vital in driving our cloud adoption strategy, advancing ABIS's technology landscape, and helping our clients realize the full potential of cloud computing.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Lead enterprise communications architecture across data networks, transmission networks, and satellite communication.</li>
<li>Produce target reference designs, standards, roadmaps, and governed solution designs.</li>
<li>Design and implement scalable cloud architectures and computing solutions that meet organizational requirements.</li>
<li>Evaluate existing infrastructure and make recommendations for cloud migration strategies.</li>
<li>Develop and implement cloud governance policies, security protocols, and best practices.</li>
<li>Collaborate with development and IT teams to ensure successful and secure application deployment in the cloud.</li>
<li>Stay updated with the latest trends and technologies in cloud computing to better inform architecture decisions.</li>
<li>Provide technical leadership and mentorship to engineering teams on cloud architecture and best practices.</li>
<li>Document architecture designs, strategies, and processes for knowledge sharing and compliance.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Bachelor's / Master degree in Computer Science, Information Technology, or related field.</li>
<li>Proven experience in cloud architecture design, preferably with AWS, Azure, or Google Cloud Platform.</li>
<li>Strong understanding of cloud services and architecture principles, including computing, storage, and networking.</li>
<li>Experience with cloud migration and relevant technologies (e.g., Docker, Kubernetes).</li>
<li>Knowledge of infrastructure as code (IaC) tools such as Terraform or CloudFormation.</li>
<li>Familiarity with security best practices for cloud-based solutions.</li>
<li>Excellent communication and collaboration skills to effectively work with cross-functional teams.</li></ul></div>

Computing and Cloud Architect - SMP

Quantinuum

<div><div>We are seeking a highly qualified <b>Lead AMO Architect</b> to join our team in <b>Broomfield, CO.</b></div>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3><ul><li>
Work with architecture team members to conceptualize large scale quantum computers</li><li>
Complete rigorous trade studies between a variety of high-level architectures and detailed subsystem designs</li><li>
Partner with subsystem teams to architect hardware solutions for large-scale quantum computers</li><li>
Lead a team research scientists and engineers to develop new sub-systems compatible high electrical and optical I/O, ultra-low magnetic, electrical, and mechanical noise, and cryogenic and ultra-high vacuum operation.</li><li>
Analyze performance and reliability of electronic, vacuum, cryogenic, and optical sub-systems</li><li>
Define system level requirements and high-level sub-system and technology requirements</li><li>
Work with sub-system teams to identify potential technology insertions into the architecture</li><li>
Communicate findings and design proposals to larger technical, management, and executive teams</li><li>
Develop, implement, and oversee best scientific and trade-study practices across the architecture team</li></ul><h3 class="jobSectionHeader"><b>
YOU MUST HAVE:</b></h3><ul><li>
PhD must be completed prior to start date</li><li>
Minimum of 10 years&rsquo; experience (PhD inclusive) involving one or more of the following areas: quantum information, ion trapping, qubits, atomic physics, spectroscopy, optics, vacuum systems, electronics, cryogenics, lasers, photonics, or laboratory work in the physical sciences.</li><li>
Due to Contractual requirements, must be a U.S. Person. defined as, U.S. citizen permanent resident or green card holder, workers granted asylum or refugee status</li><li>
Due to national security requirements imposed by the U.S. Government, candidates for this position must not be a People's Republic of China national or Russian national unless the candidate is also a U.S. citizen.</li></ul><h3 class="jobSectionHeader"><b>
WE VALUE:</b></h3><ul><li>
Experience leading a team in designing or operating a device for quantum information processing.</li><li>
15 years&rsquo; experience in scientific research and development, engineering, or leadership roles.</li><li>
Strong organizational and leadership skills, and experience in working with customers and partners.</li><li>
Experience with laser cooling and trapping of ions or neutral atoms.</li><li>
Experience performing simulation and modeling to inform experiments.</li><li>
Experience with control systems for data collection, signal processing and analysis.</li><li>
Experience with laser systems, especially frequency-stabilized diode lasers, optical cavities, and phase or intensity feedback loops.</li><li>
Experience with cryogenic systems.</li><li>
Experience with ultra-high vacuum systems.</li><li>
Experience developing quantum error correcting codes</li><li>
Experience with electro-optic devices, including photodetectors and light modulators.</li><li>
Experience designing and testing micro-optical systems.</li><li>
Excellent written and oral communication skills, with published results within their field of research.</li></ul><div><b>
Compensation &amp; Benefits:</b></div><div>
Incentive Eligible &ndash; Range posted is inclusive of bonus target when applicable</div><div>
The pay range for this role is $160,000 &ndash; $200,000 annually. Actual compensation within this range may vary based on the candidate&rsquo;s skills, educational background, professional experience, and unique qualifications for the role.</div><div>
Quantinuum is the world leader in quantum computing. The company&rsquo;s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum&rsquo;s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.</div><div>
</div><div>
By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.</div><div>
</div><div>
By joining Quantinuum, you&rsquo;ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.</div><div><b>
</b></div><div><b>
What&rsquo;s in it for you?</b></div><div>
A competitive salary and innovative, game-changing work</div><div>
Flexible work schedule</div><div>
Employer subsidized health, dental, and vision insurance</div><div>
401(k) match for student loan repayment benefit</div><div>
Equity, 401k retirement savings plan + 12 Paid holidays and generous vacation + sick time</div><div>
Paid parental leave</div><div>
Employee discounts</div><div>
</div><div>
Quantinuum is an equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. Know Your Rights: Workplace discrimination is illegal</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Lead AMO Architect - 712

LTIMindtree

<div><b>Role description</b><p><br>
Enterprise Solutions Architect HPC and container Platform</p>
<p></p>
<p>Job Title Solutions Architect HPC and container Platform</p>
<p>
Job Description</p>
<p>
We are seeking an experienced Enterprise Solution Architect with expertise in High Performance Computing HPC and Container platforms in Linuxbased environments to join our dynamic team The ideal candidate will be responsible for architecting solutions including but not limited to installation configuration integration and implementation of HPC technologies and enterprisegrade container orchestration platform</p>
<p>
We are looking for a person with very strong technical skills and a proven track record of designing and working with container platforms such as Red Hat OpenShift SUSE Rancher CNCF Kubernetes HPC Schedulers such as Slurm or PBS Pro HPCAI Cluster management technologies such as HPCM or BCM and the ability to work in a dynamic customerfocused team that requires excellent interpersonal skills</p>
<p>
Key Responsibilities</p>
<p>
Candidate must have strong proficiency as a Solution Architect in at least three areas and proficiency in other areas</p>
<p>
1Leadership and Strategy</p>
<p>
Develop HPC and container platform roadmaps and strategies for growth based on business needs</p>
<p>
Engage in and enhance the complete service lifecyclefrom conceptualization and design to implementation and operation</p>
<p>
Identify the growth path and scalability options of a solution and include these in design activities</p>
<p>
2Solution Planning and Design</p>
<p>
Gather requirements assess technical feasibility and design integrated HPC and container solutions that align with business objectives</p>
<p>
Architect and optimize the technical solutions to meet the requirements of the customer</p>
<p>
Identify the potential challenges and constraints that impact the solution and project plan</p>
<p>
3Opportunity assessment</p>
<p>
Respond to the technical sections of RFIsRFPs and Lead proofofconcept engagements to a successful conclusion</p>
<p>
Utilize an effective consultative approach to advance opportunities</p>
<p>
4Innovation and Research</p>
<p>
Stay abreast of emerging technologies trends and industry developments related to HPC Kubernetes containers cloud computing and Security</p>
<p>
Develop best practices Accelerators and Show Tell for HPC and container platform solutions and integrations</p>
<p>
5Customercentric mindset</p>
<p>
Strong focus on understanding customer business requirements and solving complex cloud technology issues</p>
<p>
Be the trusted advisor delight customers and deliver exceptional customer experiences to drive customer success</p>
<p>
Communicate complex technical concepts and findings to nontechnical stakeholders</p>
<p>
6Team Collaboration</p>
<p>
Collaborate with crossfunctional teams including system administrators developers data scientist and project managers to ensure successful project delivery</p>
<p>
Understands the roles and effectively engages other teams and resources within the company</p>
<p>
Mentor and train new team members and lead the way in participation in tech talks forums innovation</p>
<p>
Required Skills</p>
<p>
Knowledge and experience with Linux System Administration package management scheduling boot procedurestroubleshooting performance optimization and networking concepts</p>
<p>
Indepth knowledge and handson experience with HPC technologies workload schedulers Slurm Altair PBS pro and cluster managers HPCM Bright cluster manager</p>
<p>
Indepth knowledge and handson experience with containerization technologies like Docker Singularity or Podman</p>
<p>
Indepth knowledge and handson experience with at least two of the container orchestration technologies like CNCF Kubernetes Red Hat OpenShift SUSE Rancher RKEK3S Canonical charmed kubernetes or HPE Ezmeral Runtime Good to have</p>
<p>
Good knowledge and handson experience with OpenStack cloud solutions</p>
<p>
Good knowledge and handson experience with virtualization technologies like KVM OpenShift virtualization</p>
<p>
Good knowledge and handson experience with at least two various Linux distributions like RHEL SLES Ubuntu Debian</p>
<p>
Good Knowledge of GPU technologies NVIDIA GPU operator NVIDIA vGPU technology</p>
<p>
Good knowledge of HPC networking stack high speed networking InfiniBand Mellanox</p>
<p>
Good experience in performance optimization and health assessment of HPC components</p>
<p>
such as operating systems storage servers parallel file systems schedulers and container orchestration platforms</p>
<p>
Must be good in any of the programming or scripting languages like python bash</p>
<p>
Good understanding of DNS TCPIP Routing and Load Balancing</p>
<p>
Knowledge of network protocols like TCPIP S3 FTP NFS or SMBCIFS</p>
<p>
Familiarity with microservices architecture CICD pipelines and DevOps tools</p>
<p>
Excellent problemsolving abilities analytical thinking and communication skills to interact with technical and nontechnical stakeholders</p>
<p>
Ability to lead technical projects by gathering the requirements preparing the architecture design and executing it e</p><b><br>
Skills</b><p><b><br>
Mandatory Skills : </b>Azure DevOps, BI Solutions Architecture, Cloud Solution Architecture, Embedded devices - Linux Operating Systems and Kernel programming<br>
<b>Good to Have Skills : </b>AWS DevOps Services, CX PDI - Network migration, GCP DevOps, Scope &amp; Change Management</p><b><br>
About LTM</b><br>
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Associate Principal - Architecture

CoinFantasy

<p><b>AI ARCHITECT</b></p><p>As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI.</p><p><b>Key Responsibilities</b></p><ul><li>AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.</li><li>Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).</li><li>Cloud &amp; Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.</li><li>Optimization &amp; Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).</li><li>Innovation &amp; R&amp;D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.</li><li>System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.</li><li>Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.</li><li>Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).</li><li>Strong background in autonomous agents, multi-agent systems, and AI optimization.</li><li>Experience with LangChain, AutoGPT, or similar frameworks is a plus.</li><li>Ability to translate research into production-ready architectures.</li><li>Excellent communication and leadership skills.</li></ul><p><b>About Us</b></p><p>CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.</p><p>Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!</p><p>Website:</p><p><b>Benefits</b></p><ul><li>Competitive salary and performance incentives.</li><li>Be part of the Core Team in a fast-growing, innovative company.</li><li>Fulfilling &amp; challenging work with real impact on the product.</li><li>Unlimited growth opportunities &ndash; professionally and personally.</li></ul><p>Job Type: Full-time</p><p>Pay: ₹2,000,000.00 - ₹3,500,000.00 per year</p><p>Benefits:</p><ul><li>Leave encashment</li></ul><p>Ability to commute/relocate:</p><ul><li>Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>How many years of  experience do you have working in projects related to Agentic AI, Generative AI?</li></ul><p>Location:</p><ul><li>Chennai, Tamil Nadu (Required)</li></ul><p>Work Location: In person</p>

Generative AI Architect

<div>Overview:
<div><b>
WHAT YOU DO AT AMD CHANGES EVERYTHING</b></div><div>
At AMD, our mission is to build great products that accelerate next-generation computing experiences&mdash;from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you&rsquo;ll discover the real differentiator is our culture. We push the limits of innovation to solve the world&rsquo;s most important challenges&mdash;striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. <b>Together, we advance your career.</b></div>
Responsibilities:
<div><b>
SOC PERFORMANCE MODELING ENGINEER</b></div><div></div><div><b><br>
THE ROLE:</b></div><div>
The successful candidate will work in AMD's Client Performance Modeling Team in Hyderabad, India. The team&rsquo;s mandate is to analyze the architectural performance of notebook and desktop processors through modeling and RTL simulation. This role will involve working with SoC, IP &amp; Model architects to evaluate and debug CPU/GFX/NPU processor performance and propose architectural enhancements.</div><div></div><div><b><br>
THE PERSON:</b></div><div>
You have a passion for leading edge SoC architecture, digital design and verification. You are a team player who has excellent communication skills and enjoys collaborating with architects &amp; engineers located in different sites and time-zones. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems.</div><div></div><div><b><br>
KEY RESPONSIBILITIES:</b></div><ul><li>
Develop architectural models, tools and infrastructure</li><li>
Investigate performance features, optimize settings</li><li>
Propose/evaluate improvements for next gen SOCs</li><li>
Carry out feature perf/power/area trade-off studies</li><li>
Evaluate CPU, GFX, NPU benchmarks to address performance bottlenecks</li><li>
Drive simulation infrastructure and methodology advances</li><li>
Provide technical guidance and recommendations to Client SoC team</li></ul><div></div><div><b><br>
PREFERRED EXPERIENCE:</b></div><ul><li>
8-15years of prior industry/academic experience</li><li>
Experience with computer system simulation and performance evaluation</li><li>
Experience with ASIC HW design and verification languages/tools (Verilog, System Verilog, System C, OVM/OVC)</li><li>
Proficiency with programming and scripting languages (C/C++, Perl, Python, etc.)</li><li>
Experience analyzing system bottlenecks and optimizing computing systems for performance</li><li>
Detailed microarchitecture knowledge of a CPU, GPU, NPU, I/O subsystem, and/or DRAM controller</li></ul><div></div><div><b><br>
ACADEMIC CREDENTIALS:</b></div><ul><li>
Bachelors or Masters degree in Computer/Electrical Engineering</li></ul><p></p><p><br>
#LI-PK2</p>
Qualifications:
<div><i>
Benefits offered are described: </i>AMD benefits at a glance.</div><div></div><div><i><br>
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants&rsquo; needs under the respective laws throughout all stages of the recruitment and selection process.</i></div><div></div><div><i><br>
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD&rsquo;s &ldquo;Responsible AI Policy&rdquo; is available </i><i>here.</i></div><div></div><div><i><br>
This posting is for an existing vacancy.</i></div></div>

SOC Performance Modelling- CPU Architecture

QatarEnergy

<div>
 <strong>
  Primary Purpose Of The Job
  <br/>
  <br/>
 </strong>
 The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.
 <br/>
 <br/>
 <strong>
  Principle Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.
  </li>
  <li>
   Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.
  </li>
  <li>
   Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
  </li>
  <li>
   Define technical standards for model deployment, monitoring, and maintenance.
  </li>
  <li>
   Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.
  </li>
  <li>
   Partner with business stakeholders to understand requirements and translate them into technical solutions
  </li>
  <li>
   Establish governance frameworks for AI model lifecycle management
  </li>
  <li>
   Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions
  </li>
  <li>
   Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.
  </li>
  <li>
   Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.
  </li>
  <li>
   Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Skills
  <br/>
  <br/>
 </strong>
 <strong>
  AI/ML Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.
  </li>
  <li>
   Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.
  </li>
  <li>
   5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.
  </li>
  <li>
   Proficient in large language models and generative AI implementations.
  </li>
  <li>
   Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.
  </li>
  <li>
   Experienced with real-time ML systems and edge computing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  MLOps and DataOps
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge of MLOps practices and tools.
  </li>
  <li>
   Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.
  </li>
  <li>
   Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cloud and Architecture
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.
  </li>
  <li>
   Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
  </li>
  <li>
   Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance and Compliance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.
  </li>
  <li>
   Knowledgeable in AI/ML regulatory compliance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Communication and Collaboration
  <br/>
  <br/>
 </strong>
 Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
 <br/>
 <br/>
 <strong>
  Educational Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.
  </li>
  <li>
   Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable
  </li>
 </ul>
</div>


SR. DIGITAL ARCHITECT

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 As the Infrastructure Architect at Inception, you will play a pivotal role in architecting, developing, and optimizing infrastructure for Inception&rsquo;s advanced AI platforms. With a robust background in cloud and on-premises infrastructure design, you&rsquo;ll focus on ensuring the scalability, security, and high performance of our AI systems. Collaborating closely with engineering and operations teams, you&rsquo;ll work to enhance the infrastructure that supports AI workloads, with an emphasis on cloud optimization, networking, and storage.
 <br/>
 <br/>
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect Infrastructure Solutions: Design and develop scalable, secure, and highly available infrastructure that supports Inception&rsquo;s AI platforms and applications.
  </li>
  <li>
   Cloud &amp; On-Premises Architecture: Develop cloud-based and on-premises infrastructure to meet AI/ML workload requirements for performance, scalability, and security.
  </li>
  <li>
   Collaboration with Key Teams: Work closely with engineering, DevOps, and product teams to optimize infrastructure for AI training, inference, and data processing.
  </li>
  <li>
   High Availability &amp; Disaster Recovery: Build high availability and disaster recovery solutions to ensure the resilience of critical AI platforms.
  </li>
  <li>
   Networking Architecture: Design and implement robust networking solutions for secure and reliable connectivity across AI systems.
  </li>
  <li>
   Automation &amp; Infrastructure as Code: Champion the use of automation and IaC, leveraging tools like Terraform, Ansible, and Kubernetes for streamlined infrastructure deployment and management.
  </li>
  <li>
   Cloud Efficiency &amp; Cost Management: Implement best practices for cloud resource efficiency and cost-effectiveness while maintaining stringent security standards.
  </li>
  <li>
   Technology Evaluation &amp; Integration: Continuously assess and integrate new technologies to enhance infrastructure capabilities in storage, networking, and cloud-native services.
  </li>
  <li>
   Compliance &amp; Security: Ensure infrastructure adheres to regulatory and security requirements, focusing on data privacy, encryption, and access control.
  </li>
  <li>
   Technical Guidance: Provide mentorship and technical leadership to the infrastructure team, promoting best practices in infrastructure quality and efficiency.
  </li>
  <li>
   Industry Trends &amp; Innovation: Stay current on industry advancements and drive infrastructure innovation to support evolving AI and technology trends.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications &amp; Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
  </li>
  <li>
   Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
  </li>
  <li>
   Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
  </li>
  <li>
   Containerization &amp; Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
  </li>
  <li>
   Networking &amp; Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
  </li>
  <li>
   Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
  </li>
  <li>
   Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
  </li>
  <li>
   Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  To qualify for the role you must have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
  </li>
  <li>
   Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
  </li>
  <li>
   Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
  </li>
  <li>
   Containerization &amp; Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
  </li>
  <li>
   Networking &amp; Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
  </li>
  <li>
   Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
  </li>
  <li>
   Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
  </li>
  <li>
   Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
  </li>
 </ul>
</div>


Infrastructure Architect

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