ai/ml architect

Datamatics Technologies

<div>
 Job Title: AI Architect
 <p>
  <strong>
   Level:
  </strong>
  Senior / Principal
  <br/>
  <strong>
   Employment Type:
  </strong>
  Full-time
  <br/>
  <strong>
   Experience
  </strong>
  : 6+ Years
  <br/>
  <strong>
   Location
  </strong>
  : Islamabad (Onsite)
 </p>
 Role Overview
 <p>
  We are seeking a
  <strong>
   high-level AI Architect
  </strong>
  to serve as a
  <strong>
   Senior Solution Architect
  </strong>
  for our real-time automation and intelligence ecosystem. This role is both
  <strong>
   strategic and hands-on at the architectural level
  </strong>
  , acting as a technical mentor and trusted advisor to engineering teams.
 </p>
 <p>
  You will be responsible for defining and evolving the
  <strong>
   enterprise architecture
  </strong>
  that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 </p>
 Key Responsibilities
 <p>
  <strong>
   Solution Mentorship &amp; Technical Leadership
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Act as a technical authority and mentor for engineering teams
   </p>
  </li>
  <li>
   <p>
    Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
   </p>
  </li>
  <li>
   <p>
    Review designs and implementations to ensure architectural consistency and technical excellence
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Architecture &amp; Gap Analysis
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
   </p>
  </li>
  <li>
   <p>
    Design and propose robust, enterprise-grade architectural improvements
   </p>
  </li>
  <li>
   <p>
    Define target-state architectures aligned with long-term business and AI strategy
   </p>
  </li>
 </ul>
 <p>
  <strong>
   System Orchestration &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
   </p>
  </li>
  <li>
   <p>
    Ensure seamless, reliable data flow across heterogeneous enterprise systems
   </p>
  </li>
  <li>
   <p>
    Define standards for system interoperability, resilience, and observability
   </p>
  </li>
 </ul>
 <p>
  <strong>
   AI/ML Infrastructure &amp; Enablement
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
   </p>
  </li>
  <li>
   <p>
    Enable large-scale automation, intelligent decisioning, and near-real-time inference
   </p>
  </li>
  <li>
   <p>
    Ensure architectures support model lifecycle management, scalability, and performance
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Technical Governance &amp; Quality
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Ensure architectural designs align with industry standards, security requirements, and scalability goals
   </p>
  </li>
  <li>
   <p>
    Provide high-level design documentation, reference architectures, and technical blueprints
   </p>
  </li>
  <li>
   <p>
    Support roadmap definition and continuous architectural evolution
   </p>
  </li>
 </ul>
 Technical Requirements
 <ul>
  <li>
   <p>
    <strong>
     Expert-level experience with distributed systems
    </strong>
    , including:
   </p>
   <ul>
    <li>
     <p>
      Real-time stream processing
     </p>
    </li>
    <li>
     <p>
      Distributed storage platforms
     </p>
    </li>
    <li>
     <p>
      Low-latency analytical databases
     </p>
    </li>
   </ul>
  </li>
  <li>
   <p>
    Proven experience designing
    <strong>
     enterprise-scale, high-throughput data architectures
    </strong>
   </p>
  </li>
  <li>
   <p>
    Strong background in
    <strong>
     event-driven and real-time processing ecosystems
    </strong>
   </p>
  </li>
  <li>
   <p>
    Experience supporting
    <strong>
     AI/ML platforms
    </strong>
    , data fabrics, and automation frameworks
   </p>
  </li>
  <li>
   <p>
    Demonstrated ability to translate complex technical challenges into scalable architectural solutions
   </p>
  </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
  <li>
   <p>
    Strong
    <strong>
     mentorship and coaching experience
    </strong>
    with senior engineering teams
   </p>
  </li>
  <li>
   <p>
    Ability to influence architectural direction across multiple teams and stakeholders
   </p>
  </li>
  <li>
   <p>
    Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
   </p>
  </li>
  <li>
   <p>
    Strategic mindset with a focus on long-term platform evolution
   </p>
  </li>
 </ul>
 Nice to Have
 <ul>
  <li>
   <p>
    Experience with cloud-native and hybrid architectures
   </p>
  </li>
  <li>
   <p>
    Exposure to MLOps, DataOps, or platform engineering practices
   </p>
  </li>
  <li>
   <p>
    Experience in regulated or large enterprise environments
   </p>
  </li>
 </ul>
 Why Join
 <ul>
  <li>
   <p>
    Shape the
    <strong>
     architectural foundation of advanced AI and automation platforms
    </strong>
   </p>
  </li>
  <li>
   <p>
    Influence enterprise-scale technical decisions with long-term impact
   </p>
  </li>
  <li>
   <p>
    Work in a senior, high-visibility role with strong ownership and autonomy
   </p>
  </li>
 </ul>
</div>


AI Architect

Ericsson

<div>
 <strong>
  Join our Team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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/>
 <br/>
 Come, and be where it begins.
 <br/>
 <br/>
 <strong>
  About this opportunity:
  <br/>
  <br/>
 </strong>
 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/>
 <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.
 <br/>
 <br/>
 <strong>
  What you will do:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The skills you bring:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why join Ericsson?
  <br/>
  <br/>
 </strong>
 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/>
 <strong>
  What happens once you apply?
  <br/>
  <br/>
 </strong>
 Click Here to find all you need to know about what our typical hiring process looks like.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Primary country and city:
 </strong>
 Egypt (EG) || Cairo
 <br/>
 <br/>
 <strong>
  Req ID:
 </strong>
 778625
</div>


CodeNinja

<div><p><b>About the Company</b><br>
CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan&rsquo;s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.</p><p><b>
About The Role</b></p><p>
We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS &mdash; from pre-sales architecture through production deployment.</p><p><b>
Key Responsibilities</b></p><ul><li>
Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS</li><li>
Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge</li><li>
Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs</li><li>
Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams</li><li>
Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices</li><li>
Serve as primary technical point of contact for clients during active engagements</li><li>
Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS</li><li>
Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway</li><li>
Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures</li><li>
Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis</li><li>
Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS</li><li>
Proven background in the AWS partner ecosystem &mdash; prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm</li><li>
Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders</li><li>
Experience leading distributed engineering teams through full delivery lifecycles on AWS</li><li>
Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)</li></ul><p></p><p><b>
Why Join Us</b></p><ul><li>
Build quality systems for real-world <b>AI-enabled products</b>, including <b>LLM evaluations</b> and reliability guardrails.</li><li>
Own feature-level quality end-to-end: from <b>test strategy</b> to <b>CI/CD quality gates</b> to <b>production readiness</b>.</li><li>
Work with strong cross-functional teams across <b>Engineering</b>, <b>Product</b>, and AI stakeholders in an <b>Agile</b> environment.</li><li>
Grow in modern quality engineering practices: <b>observability</b>, <b>automation frameworks</b>, <b>shift-left testing</b>, and AI evaluation patterns.</li></ul><p></p><p><b><br>
Disclaimer:</b> CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role</p><b><br>
Benefits</b><br>
<ul><li><b>
Provident Fund (PF):</b> 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after <b>12 months of confirmation</b>.</li></ul><ul><li><b>
Medical Insurance (Pakistan):</b> Coverage includes spouse and parents up to the age of 80.</li><li><b>
Life Insurance</b></li><li><b>
Performance-Based Increment</b></li><li><b>
32 Paid Leaves (Annual)</b></li><li><b>
Easy Loan Facility</b></li><li><b>
Company-Sponsored Trips</b></li><li><b>
Gym Passport Membership (Access To 250+ Gyms)</b></li></ul></div>

AWS AI/ML Practice Lead

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><p></p><p><b><br>
What you'll build:</b></p><br>
<p></p><ul><li>
In this role, you'll define the architecture for intelligent, enterprise-grade applications and platforms with AI built into the core design rather than added as an afterthought.</li><li>
You'll shape end-to-end solutions across application services, integration layers, data architecture, event-driven systems, security, and AI/ML components. That includes designing patterns for model integration, batch and real-time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls.</li><li>
You&rsquo;ll guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, and ensure architecture choices support both near-term delivery and long-term platform evolution.</li><li>
Your work will directly influence how quickly engineering teams can build, govern, and scale AI-enabled capabilities across products and customer scenarios.</li></ul><p></p><p><b><br>
What you bring:</b></p><br>
<p></p><ul><li>
You bring deep expertise in software architecture for large-scale distributed systems, including microservices, event-driven patterns, APIs, integration layers, and data platforms</li><li>
You have a strong understanding of AI and ML system architecture, including training pipelines, inference layers, model lifecycle design, and ML platform capabilities</li><li>
You have experience designing enterprise-grade generative AI solutions using LLMs, embeddings, vector databases, RAG patterns, tool use, and orchestration frameworks</li><li>
You are skilled at designing scalable and secure application architectures that integrate transactional systems, analytical platforms, and AI-powered services</li><li>
You have strong knowledge of cloud-native architecture, including containers, Kubernetes, infrastructure automation, observability, resilience, and performance engineering</li><li>
You have experience defining reference architectures, design standards, and reusable technical patterns for AI-enabled product development</li><li>
You bring a strong understanding of data architecture, governance, metadata, privacy, and access patterns required to support trustworthy AI solutions</li><li>
You evaluate build-versus-buy decisions across models, platforms, data services, and integration tooling, clearly articulating technical and business trade-offs</li><li>
You have knowledge of responsible AI, model governance, security controls, compliance requirements, and architectural guardrails for safe enterprise adoption</li><li>
You have experience leading architecture reviews, influencing engineering roadmaps, and aligning technical direction across multiple teams or product areas</li><li>
You communicate complex architectural decisions clearly to engineers, product leaders, and executive stakeholders</li></ul><p></p><p><br>
About You:</p><br>
<p></p><ul><li>
You bring 6+ years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems</li><li>
You think in systems, with a strong ability to connect architecture decisions to broader platform strategy and business outcomes</li><li>
You are a technical leader who influences without authority and drives alignment across teams and organizations</li><li>
You are passionate about building robust, extensible systems that stand the test of time</li><li>
You stay current with emerging technologies, particularly in AI, cloud, and distributed systems</li></ul><p></p><p><b><br>
Where you belong:</b></p><p></p><p><br>
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.</p><p>
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.</p><p></p><p><b><br>
About the team</b></p><p>
We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.</p><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
<br>
<br>
<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
<br>
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
<br>
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 450220 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><div><b><br>
What you'll build:</b></div><br>
<div></div><ul><li>
In this role, you'll define the architecture for intelligent, enterprise-grade applications and platforms with AI built into the core design rather than added as an afterthought.</li><li>
You'll shape end-to-end solutions across application services, integration layers, data architecture, event-driven systems, security, and AI/ML components. That includes designing patterns for model integration, batch and real-time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls.</li><li>
You&rsquo;ll guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, and ensure architecture choices support both near-term delivery and long-term platform evolution.</li><li>
Your work will directly influence how quickly engineering teams can build, govern, and scale AI-enabled capabilities across products and customer scenarios.</li></ul><div></div><div><b><br>
What you bring:</b></div><br>
<div></div><ul><li>
You bring deep expertise in software architecture for large-scale distributed systems, including microservices, event-driven patterns, APIs, integration layers, and data platforms</li><li>
You have a strong understanding of AI and ML system architecture, including training pipelines, inference layers, model lifecycle design, and ML platform capabilities</li><li>
You have experience designing enterprise-grade generative AI solutions using LLMs, embeddings, vector databases, RAG patterns, tool use, and orchestration frameworks</li><li>
You are skilled at designing scalable and secure application architectures that integrate transactional systems, analytical platforms, and AI-powered services</li><li>
You have strong knowledge of cloud-native architecture, including containers, Kubernetes, infrastructure automation, observability, resilience, and performance engineering</li><li>
You have experience defining reference architectures, design standards, and reusable technical patterns for AI-enabled product development</li><li>
You bring a strong understanding of data architecture, governance, metadata, privacy, and access patterns required to support trustworthy AI solutions</li><li>
You evaluate build-versus-buy decisions across models, platforms, data services, and integration tooling, clearly articulating technical and business trade-offs</li><li>
You have knowledge of responsible AI, model governance, security controls, compliance requirements, and architectural guardrails for safe enterprise adoption</li><li>
You have experience leading architecture reviews, influencing engineering roadmaps, and aligning technical direction across multiple teams or product areas</li><li>
You communicate complex architectural decisions clearly to engineers, product leaders, and executive stakeholders</li></ul><div></div><div><b><br>
About You:</b></div><br>
<div></div><ul><li>
You bring 6+ years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems</li><li>
You think in systems, with a strong ability to connect architecture decisions to broader platform strategy and business outcomes</li><li>
You are a technical leader who influences without authority and drives alignment across teams and organizations</li><li>
You are passionate about building robust, extensible systems that stand the test of time</li><li>
You stay current with emerging technologies, particularly in AI, cloud, and distributed systems</li></ul><div></div><div><b><br>
Where you belong:</b></div><div></div><div><br>
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.</div><div>
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.</div><div></div><div><b><br>
About the team</b></div><div>
We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.</div><div>
#LI-LP1</div><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
<br>
<br>
<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
<br>
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
<br>
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 450270 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><div>Must Have Experience :
</div><ul><li> 10+ years in data / analytics architecture, with strong manufacturing or industrial experience
</li></ul><ul><li> 3+ years designing and deploying AI/ML and/or GenAI solutions in production
</li></ul><ul><li> Hands on experience with plant data, time series analytics, and OT/IT integration
</li></ul><ul><li> Strong consulting skills: structured problem solving, executive communication, workshop facilitation</li></ul><br>
<div><br>
</div><div>Preferred Skills
</div><ul><li> Cloud platforms (Azure / AWS / GCP), Databricks or Snowflake
</li></ul><ul><li> Streaming (Kafka / Event Hubs), ML platforms (MLflow, Azure ML, SageMaker)
</li></ul><ul><li> GenAI platforms (Azure OpenAI, Bedrock, Vertex AI) and vector databases
</li></ul><ul><li> Exposure to digital thread, smart factory, or digital twin initiatives</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>Background : We are looking for an AI &amp; Data Architect with strong manufacturing domain expertise and consulting mindset to help industrial enterprises design, deploy, and scale data and AI platforms across plants and enterprise systems. This role bridges operations, engineering, and IT, translating manufacturing priorities into secure, governed, and production grade AI solutions that deliver measurable business outcomes.</div><br>
<div><br>
</div><div>Travel: 25&ndash;50% (plants, client workshops, exec reviews)</div><br>
<div><br>
</div><div>What You Will Do
</div><ul><li> Lead plant to enterprise discovery workshops with Operations, Engineering, Quality, Supply Chain, and IT leaders
</li></ul><ul><li> Develop Solutions to respond to RFQ from the manufacturing customers
</li></ul><ul><li> Translate manufacturing challenges into AI use cases (predictive maintenance, quality, yield, throughput, inventory, service)
</li></ul><ul><li> Architect OT + IT data platforms integrating historians, MES, ERP, and cloud platforms
</li></ul><ul><li> Design and guide delivery of AI/ML and GenAI solutions (time series ML, computer vision, RAG based copilots)
</li></ul><ul><li> Define MLOps / LLMOps frameworks for industrial environments
</li></ul><ul><li> Create executive ready architectures, roadmaps, and value stories
</li></ul><ul><li> Act as a trusted advisor during plant visits, architecture reviews, and steering committees
</li></ul><div>________________________________________
</div><div>Core Architecture Focus
</div><ul><li> OT/IT Integration: PLC/SCADA/DCS, historians (PI/Aveva), MES, ERP (SAP), PLM, QMS
</li></ul><ul><li> Data Platforms: Lakehouse, streaming/event-driven, time series architectures
</li></ul><ul><li> AI / GenAI: Predictive analytics, anomaly detection, computer vision, maintenance &amp; operations copilots
</li></ul><ul><li> Security &amp; Governance: Industrial cybersecurity awareness, data governance, responsible AI, human in the loop
</li></ul><div>________________________________________
</div><div>Key Deliverables
</div><ul><li> Plant to enterprise AI &amp; Data target architecture
</li></ul><ul><li> Manufacturing AI roadmap (pilot scale across plants)
</li></ul><ul><li> Digital thread architecture linking design, production, quality, and service
</li></ul><div>Industrial MLOps / LLMOps framework
</div><div>Executive level value realization dashboards
</div><div>________________________________________</div><br>
<div><br>
</div><div>Base Salary Range : $110,000 to $140,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Cleveland, OH</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Technical Architect</div>
</div><div><div><b>Job Id</b></div>
<div>406659</div>
</div><div><div><b>Desired Skills</b></div>
<div>Data architect</div>
</div><div><div><b>Salary Range</b></div>
<div>$110,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Data Architect

ITWORX

<div><p>Lead Technical Architect | Fulltime</p>
<div><h6 class="jobSectionHeader"><b>Job Description:</b></h6>
<p></p><p><b>Key accountabilities and decision ownership:</b></p>
<ul><li>Provide design and architecture for the assigned proposals and projects for Data &amp; AI domain.</li>
<li>Translate client needs into fit-for-purpose Data &amp; AI solutions, leveraging modern cloud platforms (Azure, AWS or GCP).</li>
<li>Lead complex implementations that deliver measurable outcomes. Architect and scale GenAI chatbots and Agentic AI solutions. Evaluate and select appropriate models, frameworks, and orchestration tools.</li>
<li>Build reusable architecture artifacts.</li>
<li>Review the gathered requirements by the Business Analysis; ensure it is in line with the architecture design and apply modifications if needed.</li>
<li>Align with the technical lead on the Data &amp; AI architecture design to start the implementation process.</li>
<li>Rework and apply any changes and work in alignment with the development team.</li>
<li>Support the development team on architecture matters when needed.</li>
<li>Document all the architecture work.</li>
<li>Mentor technical architects and senior architects and provide them with support with their projects when needed.</li>
<li>Support the chief of architecture in enhancing and modifying different engineering review processes.</li>
</ul></div><p></p><div><h6 class="jobSectionHeader"><b>Job Requirements:</b></h6>
<p></p><p><b>Must have professional qualifications:</b></p>
<ul><li>Bachelor's degree in computer science or equivalent.</li>
<li>15+ years of experience in software development including at least 6 years as an architect.</li>
<li>Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space.</li>
<li>Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph).</li>
<li>Strong working knowledge and practical experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.</li>
<li>Hands on Experience in Prompt engineering, context engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability.</li>
<li>Experience in Enterprise-grade RAG-based solutions with LLMs (e.g. OpenAI, Hugging Face, LLaMA, etc.) and vector databases (e.g. Pinecone, Weaviate, FAISS, etc.).</li>
<li>Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow).</li>
<li>Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).</li>
<li>Masters degree in data science is plus.</li>
</ul></div><p></p><div><h6 class="jobSectionHeader"><b>Equal opportunity:</b></h6>
<p>All qualified applicants will receive consideration for employment without regard to age, religion, gender, nationality or disability. All qualified candidates will be considered in the process</p></div></div><p></p>
<br><div><div><div><div><div>Posted 4 weeks ago
</div></div></div><div><div><div><div><div><ul><li><b>Job Location</b></li>
<li>Egypt</li>
</ul></div></div><div><div><ul><li><b>Job Code</b></li>
<li><b>2084</b></li>
</ul></div></div></div></div></div><div><div><div><div><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
</div><div><div><ul><li>Experience</li>
<li>15+ years of experience in software development including at least 6 years as an architect Years</li>
</ul></div></div><div><div><ul><li>Job Level:</li>
<li>Managerial</li>
</ul></div></div><div><div><ul><li>Education</li>
<li>Bachelor's degree in computer science or equivalent</li></ul></div></div></div></div></div></div></div><p></p>

Lead Technical Architect

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