ai architect

Ericsson

<div><div><div><div><h2 class="jobSectionHeader"><b>Join our Team</b></h2>
</div><div><p>
As the Company at the forefront of the creation of the Mobile world, and with more than 60,000 patents to our name, we&rsquo;ve made it our business to make a mark. Being part of Ericsson empowers you to learn, lead, and perform at your best, shaping future technology. Ericsson is an inclusive employer where you are recognized for the skills, talent, and perspective you bring to the team.</p><p>
Within the Solution Area Cognitive Networks Solutions Software R&amp;D (SA CNS SW R&amp;D), we offer the opportunity to collaborate with highly qualified Global teams and to enable success stories for our customers. You will be exposed to groundbreaking technology (5G, ML/AI, Automation, and Cloud computing) and support the delivery of multiple Data-Intensive projects from our customer base and internal requirements. You must have the ability to perform hands-on Cloud and Data engineering tasks independently, coupled with the appropriate testing. Are you ready to write the future with us?<br>
Come, and be where it begins.</p><p></p><p><b><br>
About this opportunity:</b></p><p></p><p><br>
Within Cognitive Software Engineering, we offer the opportunity to collaborate with highly qualified teams across the globe and contribute to success stories for our customers. As a SaaS System Architect, you will design and develop scalable and high-performing distributed cloud-based applications.<br>
Your deep understanding of software architecture will be essential in supporting multiple applications and customer scenarios, ensuring a seamless transition from development to production and maintenance. You will work closely with cross-functional teams, including product owners, domain experts, and technical leaders, to ensure reliability, scalability, and architectural excellence across our solutions.</p><p></p><p><b><br>
What you will do:</b></p><br>
<p></p><ul><li>
Translate stakeholders&rsquo; visions into comprehensive AI/ML/Generative AI architectural strategies and implementation roadmaps, aligning with business objectives and digital transformation goals.</li><li>
Partner with enterprise architects, application architects, data scientists, MLOps engineers, DevOps teams, and business stakeholders to deliver AI-centric SaaS use cases and refine architectural designs.</li><li>
Evaluate and select optimal technologies from open-source and commercial options, considering deployment models, cost efficiency, and integration with existing infrastructure.</li><li>
Drive the successful execution and continuous improvement of AI-centric applications using agile methodologies.</li><li>
Collaborate with security and risk management teams to identify potential risks, promote ethical AI practices, and ensure compliance with relevant regulations.</li><li>
Guide project teams through technical reviews, design approvals, and governance processes, maintaining standards for data privacy, security, and regulatory compliance in AI solutions.</li><li>
Build and maintain relationships with key stakeholders, contributing to business development efforts such as proposal development.</li><li>
Lead and mentor diverse teams in an inclusive environment, recognizing individual contributions and fostering growth.</li><li>
Support the development of team members through hands-on guidance and structured training programs.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
The skills you bring:</b></h2></div><p></p><div><br>
<ul><li>
Bachelor&rsquo;s degree in computer science, engineering, or a related field.</li><li>
10+ years of experience in software development.</li><li>
3+ years of experience as an AI Architect.</li><li>
Track record of working in architecture roles, presenting designs to stakeholders, technical authorities, or review boards.</li><li>
Experience building enterprise-integrated solutions that deliver complete end-to-end value.</li><li>
Proven expertise in architecture disciplines, including designing scalable and performant AI/ML systems.</li><li>
Solid background in data science with deep knowledge of AI/ML concepts.</li><li>
Working knowledge of using the current state-of-the-art machine learning frameworks such as Tensorflow, Keras, scikit-learn, Pytorch, etc.</li><li>
Hands-on experience deploying cloud-based AI/ML workloads on major platforms (e.g., AWS Bedrock and SageMaker, Google Vertex AI and PaLM, Azure OpenAI and Azure ML) or third-party solutions (e.g., Databricks, Snowflake Snowpark/Cortex, Dataiku, DataRobot).</li><li>
Proficiency in architecting cost-optimized, scalable solutions using serverless technologies, Containerization, and Cloud Infrastructure.</li><li>
Working knowledge of generative AI, including deployment and hosting of large foundational models.</li><li>
Proven expertise in LLM architectures (e.g., Transformers, GANs, VAEs), fine-tuning, Retrieval Augmented Generation (RAG), Context embedding, vector databases, and semantic search tools.</li><li>
Strong coding skills in Python for robust AI development and packaging.</li><li>
Experience with LangChain and LangGraph frameworks.</li><li>
Demonstrated ability to implement MLOps practices for end-to-end model lifecycles (training, testing, monitoring, and iteration).</li><li>
Experience with Cloud MLOps platforms (Vertex AI, SageMaker, etc.) and other MLOps platforms: MLFlow, Kubeflow, KServe, Seldon, DVC, CometML, etc.</li><li>
Deep understanding and hands-on experience in building Microservices based applications following the API First approach for serving ML models.</li><li>
Proficiency with loading data from different data repositories: SQL Databases, Data Warehouses, and Data Lakes.</li><li>
Proficiency in classic DevOps, CI/CD practices, and Test Automation.</li><li>
Professional certifications in AI/ML technologies on cloud platforms (e.g., AWS, GCP, or Azure).</li><li>
AWS certifications like AWS Certified Solutions Architect &ndash; Professional, AWS Certified Solutions Architect &ndash; Associate, or other relevant certifications would be a strong asset.</li><li>
Excellent stakeholder management, cross-functional collaboration, and leadership skills (including coaching, facilitation, and program delivery).</li><li>
Strong communication skills to work effectively with multidisciplinary teams.</li><li>
Experience contributing to go-to-market activities, such as RFI/RFP responses and proposal development.</li><li>
Knowledge of Agile Software Development Methodologies.</li></ul></div></div></div><p><b>
Why join Ericsson?</b></p><p>
At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br>
<br>
<b>What happens once you apply?</b></p><p>
Click Here to find all you need to know about what our typical hiring process looks like.</p><p>
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><p><b>
Primary country and city:</b> Egypt (EG) || Cairo</p><p><b>
Req ID:</b> 778625</p></div>

AI Architect

Capgemini

<div><div><div><p>Hyderabad</p><div>
Gen AI Architect</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we&rsquo;ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, we&rsquo;ll provide everything you need to do your best work and become the best you can be.
</p><div><div><div><div>Your Profile</div></div><div><div>
Solution Design: Architect scalable Generative AI solutions for enterprise use cases (chatbots, content generation, code assistants, knowledge management).</div><div>
Model Selection &amp; Fine-Tuning: Evaluate, customize, and fine-tune LLMs and multimodal models (OpenAI, Azure OpenAI, Hugging Face, etc.).</div><div>
Integration: Design APIs and pipelines to integrate AI models with existing enterprise systems (ERP, CRM, Data Lakes).</div><div>
Governance &amp; Compliance: Implement AI ethics, responsible AI practices, and ensure compliance with data privacy regulations.</div><div>
Performance Optimization: Optimize inference speed, cost, and accuracy using techniques like prompt engineering, RAG (Retrieval-Augmented Generation), and model compression.</div></div></div><div><div><div>
Your Role</div></div><div><div>
Strong experience in AI/ML architecture, cloud platforms (Azure, AWS, GCP).</div><div>
Expertise in Generative AI frameworks (Transformers, LangChain, LlamaIndex).</div><div>
Proficiency in Python, API development, and MLOps pipelines.</div><div>
Understanding of data security, AI ethics, and compliance standards.Excellent communication and stakeholder management skills.</div></div></div><div><div><div>
What you'll love about working here</div></div><div><ul><li>
You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.</li><li>
You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.</li><li>
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
</li></ul></div></div></div><p>Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
</p></div></div><p></p><div><div><div><div><div>Ref. code</div><div>
360272-en_GB</div></div><div><div>
Posted on</div><div>
18 Dec 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Hyderabad</div></div><div><div>
Business unit</div><div>
Other Delivery units</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Gen AI Architect

Offshore IT Services

<p><b>Position </b>&ndash; Azure AI Architect<br/><b>Location:</b> Onsite | Mohali<br/><b>Experience:</b> 8&ndash;12 Years<br/><b>Employment Type:</b> Full-Time</p><p><b>About Us: </b><br/>TechRBM is a rapidly scaling technology partner to global enterprises, specializing in AI, Cloud, Data Engineering, and Digital Transformation. With a team strength of 200+ professionals and scaling toward 500, we are building AI-first cloud architecture leadership to deliver secure, scalable, and intelligent enterprise platforms</p><p><b>Role Overview:</b><br/>We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud infrastructure, DevOps automation, and programming in .NET/C# or Python, combined with AI solution design and deployment. This role blends cloud architecture, AI engineering, and hands-on coding-enabling scalable AI-driven applications for industries such as banking, healthcare, retail, and digital platforms.</p><p><b>Key Responsibilities:</b><br/>Architect and implement Azure-based AI solutions leveraging Azure Cognitive Services, Azure ML, and Azure OpenAI.</p><ul><li>Integrate AI/ML workloads into scalable cloud-native and hybrid infrastructures.</li><li>Design and automate CI/CD and MLOps pipelines (Azure DevOps, GitHub Actions).</li><li>Build automation scripts and tools using .NET/C# or Python.</li><li>Manage and optimize Windows Server and Linux/Unix environments for AI workloads.</li><li>Deploy and orchestrate AI-driven applications on Kubernetes/AKS.</li><li>Ensure Responsible AI practices, security, compliance, and governance across AI deployments.</li><li>Set up observability and monitoring frameworks for AI services (App Insights, Azure Monitor, Grafana, ELK/EFK).</li><li>Collaborate with developers, data scientists, and business teams to translate AI use cases into production-grade solutions.</li><li>Mentor engineers on Azure AI, DevOps, and automation best practices</li></ul><p><b>Required Skills &amp; Experience:</b><br/>8&ndash;12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design.</p><ul><li>Strong expertise in Azure AI services: Cognitive Services, Azure ML, Azure OpenAI, Synapse, Data Lake, Bot Services.</li></ul><ul><li>Hands-on programming in .NET/C# or Python (must-have).</li></ul><ul><li>Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow).</li></ul><ul><li>Proficiency in CI/CD, IaC (ARM, Bicep, Terraform), and Kubernetes/AKS.</li></ul><ul><li>Expertise in Windows Server (primary) and Linux/Unix (secondary) environments.</li></ul><ul><li>Familiarity with data engineering pipelines and AI integration patterns.</li></ul><ul><li>Knowledge of Responsible AI, security, compliance, and governance frameworks.</li></ul><ul><li>Bonus: Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI APIs.</li></ul><p><b>Soft Skills:</b></p><ul><li>Ability to balance strategic design with hands-on execution.</li></ul><ul><li>Excellent problem-solving and analytical abilities.</li></ul><ul><li>Strong client-facing and communication skills. &bull; Collaborative leadership to mentor and guide cross-functional teams.</li></ul><p><b>Education &amp; Certifications: </b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, IT, or related field.</li><li>Preferred Certifications: o Microsoft Certified: Azure Solutions Architect Expert</li></ul><p>Microsoft Certified: Azure AI Engineer Associate o Microsoft Certified: Azure Data Scientist Associate o Kubernetes CKA/CKAD, Terraform Associate</p><p><b>Why Join Us? </b></p><ul><li>Shape AI-first cloud architectures for global enterprises.</li><li>Be part of a fast-scaling IT services company with 200+ professionals and global exposure.</li><li>Work with cutting-edge AI, Cloud, and Data solutions.</li><li>Competitive compensation + performance bonuses.</li><li>Inclusive, collaborative, and innovation-driven culture.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹818,668.26 - ₹14,000,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Azure AI Architect

Quest Global

<div><b>Job Requirements<br>
</b><br>
<p>At Quest Global, it&rsquo;s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place&mdash;to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.</p><p>
Key Responsibility</p><p>
 Responsible for designing, implementing, and overseeing AI solutions that align with business objectives</p><p>
Strategic Planning: Develop AI strategies and roadmaps aligned with organizational goals.</p><p>
System Design: Architect robust AI frameworks and infrastructure for scalability and performance.</p><p>
Model Development: Design and implement AI/ML models, algorithms, and pipelines.</p><p>
Collaboration: Work with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.</p><p>
Optimization &amp; Evaluation: Continuously monitor and improve AI systems for accuracy and efficiency.</p><p>
Compliance &amp; Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation).</p><p>
Leadership: Guide cross-functional teams and mentor junior engineers in AI best practices</p><p>
Security &amp; Compliance: Data anonymization, secure model deployment, bias detection</p><b><br>
Work Experience<br>
</b><br>
<p><b>Mandatory Skills</b></p><p>
Programming Languages: Python, Java, or Node.js for AI system development.</p><p>
Machine Learning &amp; Deep Learning: Expertise in TensorFlow, PyTorch, Hugging Face; model selection, evaluation, and interpretability.</p><p>
Data Engineering &amp; MLOps: ETL tools (Airflow, dbt), CI/CD for ML (MLflow, DVC), feature stores.</p><p>
Cloud Platforms: AWS, Azure, or GCP for AI deployment and scalability.</p><p>
System Design &amp; Architecture: Knowledge of microservices, APIs, distributed systems, and containerization (Docker, Kubernetes).</p><p>
Security &amp; Compliance: Data anonymization, secure model deployment, bias detection</p><b><br>
Benefits<br>
</b><br>
<p>NA</p></div>

Dataflix

<div><div><p><b>Overview</b></p><p>
We are seeking a <b>highly senior AI professional</b> with deep expertise in <b>Machine Learning, Large Language Models (LLMs), and Agentic AI systems</b>, who can <b>lead the AI technical team end-to-end</b>. This role is ideal for a seasoned <b>Data Scientist / AI Architect</b> who has hands-on experience building, scaling, and deploying advanced AI solutions and has worked extensively with <b>IBM Watson</b> along with other modern AI frameworks.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Lead the <b>design, development, and deployment</b> of advanced ML, NLP, and GenAI solutions.</li><li>
Architect and implement <b>LLM-based and Agentic AI systems</b> for real-world enterprise use cases.</li><li>
Provide <b>technical leadership and mentorship</b> to AI/ML engineers and data scientists.</li><li>
Drive <b>model experimentation, evaluation, optimization, and productionization</b>.</li><li>
Collaborate with product, engineering, and business teams to translate problems into AI solutions.</li><li>
Stay current with emerging AI research and apply it to business innovation.</li></ul><p><b>
Requirements</b></p><ul><li><b>
Strong foundation in Machine Learning &amp; Statistics</b> (supervised, unsupervised, deep learning).</li><li>
Extensive experience with <b>NLP, Generative AI, and Large Language Models (LLMs)</b>.</li><li>
Proven hands-on experience working with AI frameworks, IBM Watson experience will be an added advantage.</li><li>
Experience with <b>Agentic AI frameworks</b>, orchestration, and multi-agent systems.</li><li>
Proficiency in <b>Python</b> and ML/DL frameworks such as <b>TensorFlow, PyTorch, Scikit-learn</b>.</li><li>
Experience with <b>LLM frameworks</b> like <b>LangChain, LlamaIndex, Hugging Face</b>, or similar.</li><li>
Strong understanding of <b>model deployment, MLOps, and cloud-based AI solutions</b>.</li><li>
Experience working with <b>Azure, AWS, or GCP</b> AI/ML services is a plus.</li></ul></div></div>
<br><div><div><p>Location</p>
<p>Hyderabad, India</p>
</div><div><p>Salary</p>
<p>TBD</p>
</div><div><p>Job Type</p>
<p>Full-time</p>
</div><div><p>Date Posted</p>
<p>December 19th, 2025</p></div></div>

Principal AI Architect & Data Scientist

Tarento Technologies Pvt. Ltd.

<div><div><b>About Tarento:</b></div><div>
</div><div>
Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.</div><div>
</div><div>
We're proud to be recognized as a <b>Great Place to Work</b>, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you&rsquo;ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.</div><div></div><div><b><br>
Role Overview:<br>
</b></div><div></div><br>
<div>In this role, you will be responsible for designing and building robust, scalable services and architectures that enable enterprise-grade AI solutions. You will ensure that security, compliance, and ethical considerations are embedded into all AI initiatives while defining guiding principles and architectural standards.</div><div>
You will work closely with business and technical stakeholders across the organization to identify requirements, shape AI strategies, and support roadmap execution. As an advisor in an international business environment, you will play a critical role in enabling capability creation and accelerating AI adoption.</div><div></div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities:</b></h3><ul><li>
Design and implement robust, scalable AI services and solution architectures</li><li>
Define and drive AI solution architecture standards, principles, and best practices</li><li>
Ensure security, privacy, compliance, and ethical considerations are addressed in all AI solutions</li><li>
Lead AI roadmap planning and implementation in alignment with business objectives</li><li>
Collaborate with stakeholders to translate business requirements into technical solutions</li><li>
Provide architectural oversight across data pipelines, model development, and deployment</li><li>
Perform light coding and technical reviews to validate designs and implementations</li><li>
Act as a trusted advisor to leadership and delivery teams on AI strategy and execution</li></ul><div></div><h4 class="jobSectionHeader"><b><br>
Technical Skills:
</b></h4><ul><li>Strong experience with <b>Microsoft Azure</b>
</li><li>Proven background in <b>solution architecture for AI/ML platforms</b></li><li>
Hands-on experience with <b>Python</b>, having worked as a <b>Data Scientist</b></li><li>
Solid experience in <b>algorithms, classical machine learning techniques, and model building</b></li><li>
Experience working with modern data stacks and AI model lifecycle management</li><li>
Ability to define AI solution principles and clearly articulate how components fit together</li></ul><div></div><h4 class="jobSectionHeader"><b><br>
Education &amp; Experience</b></h4><ul><li><b>
Bachelor&rsquo;s or Master&rsquo;s degree</b> in <b>Mathematics, Statistics, Data Science</b>, or related field</li><li>
Specialization in <b>AI/ML (from 2017 onwards preferred)</b></li><li>
Minimum <b>4+ years of experience</b> in a similar AI Solution Architect / AI Engineering role</li><li>
Prior hands-on experience as a <b>Data Scientist</b> is mandatory</li></ul></div><div></div>

AI Solution Architect

Radar Hire LLC

<p>If you are interested and want to apply please go through our website to proceed: http://careers.usjobfinders.com/p/46acffff0383-ai-data-architect-remote</p><p><b>About the Role</b>:</p><p>Radar Hire is seeking a highly experienced and forward-thinking <b>AI Data Architect</b> to design and manage the foundational data infrastructure that powers AI, machine learning, and analytics initiatives for our clients. This is a strategic, hands-on role responsible for creating scalable data pipelines, optimizing data structures, and enabling real-time, intelligent decision-making across enterprise environments.</p><p>You&rsquo;ll work closely with AI engineers, data scientists, software developers, and business stakeholders to architect end-to-end data solutions&mdash;ensuring data is clean, accessible, secure, and actionable for advanced AI use cases.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement scalable, secure, and high-performance data architectures for AI/ML models and systems</li><li>Build and optimize ETL/ELT pipelines that support real-time and batch data processing</li><li>Define and enforce best practices for data modeling, schema design, and metadata management</li><li>Collaborate with AI engineers and data scientists to ensure data pipelines support model training, inference, and retraining workflows</li><li>Architect and manage data lakes, warehouses, and cloud-based storage solutions (e.g., AWS, GCP, Azure)</li><li>Ensure data governance, compliance, and security policies are met (including HIPAA, GDPR, or SOC2, if applicable)</li><li>Monitor data quality and establish automated validation and anomaly detection processes</li><li>Create technical documentation, architecture diagrams, and data flow mappings for internal and external teams</li><li>Evaluate and integrate new tools, frameworks, and platforms to enhance data infrastructure capabilities</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>5+ years in data architecture, data engineering, or a related field</li><li>Strong understanding of AI/ML systems and how they interface with structured and unstructured data</li><li>Expertise with cloud platforms such as <b>AWS (e.g., S3, Redshift, Glue), GCP (BigQuery), or Azure</b></li><li>Proficient in <b>Python, SQL</b>, and modern data frameworks (e.g., Apache Spark, Kafka, Airflow)</li><li>Deep experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, DynamoDB)</li><li>Experience architecting solutions that feed into or support AI models (e.g., LLMs, recommendation systems, predictive analytics)</li><li>Familiarity with MLOps, model lifecycle, and data versioning tools</li><li>Strong documentation, diagramming, and cross-functional communication skills</li><li>Security-first mindset with experience implementing data privacy and governance protocols</li></ul><p><b>Nice to Have</b></p><ul><li>Experience supporting LLM-based AI pipelines or Retrieval-Augmented Generation (RAG) architectures</li><li>Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embeddings</li><li>Knowledge of Kubernetes, Docker, or cloud-native orchestration systems</li><li>Certifications in cloud architecture, data engineering, or AI/ML (AWS Certified Data Analytics, GCP Data Engineer, etc.)</li></ul><p><b>Working Hours</b></p><ul><li><b>Full-Time</b>, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul><p>Job Type: Full-time</p><p>Pay: E&pound;83,204.00 - E&pound;154,523.00 per month</p><p>Application Question(s):</p><ul><li>Please confirm if you applied through our website so we can proceed with your application. https://radarhire.com/job/ai-data-architect-remote-id-2115/</li></ul>

AI Data Architect (Remote)

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