automation architect

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: TOSCA Automation Architect
</div></div></div></div><div><div><div><div>City: Riyadh
</div></div></div></div><div><div><div><div>State/Province: Riyadh Province
</div></div></div></div><div><div><div><div>Posting Start Date: 4/14/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><div><b>TOSCA Automation Architect/Consultant:
</b></div><div>A Tosca Automation Architect/Consultant designs, develops, and maintains codeless, model-based test automation solutions using Tricentis Tosca to enhance application quality. Responsibilities include creating reusable test components (Modules), executing functional/regression tests for web/mobile applications, integrating with CI/CD pipelines, and driving risk-based testing strategies to optimize release frequency and efficiency.<br>
</div><div></div><div><b>Key Responsibilities
</b></div><ul><li><b>Test Automation Design: </b>Create, maintain, and execute automated test cases using Tricentis Tosca&rsquo;s model-based approach.
</li><li><b>Framework Development: </b>Build and enhance automation frameworks using best practices, including reusability, modularity, and risk-based testing.
</li><li><b>Integration &amp; Execution: </b>Integrate Tosca with CI/CD tools (e.g., Jenkins) and manage distributed execution for faster testing.
</li><li><b>Requirement Analysis: </b>Translate manual functional test cases and business requirements (from Jira) into automated scripts.
</li><li><b>Defect Management: </b>Analyze test execution reports to identify defects, debug automated scripts, and collaborate with developers to resolve issues.
</li></ul><p><b>Mentorship: </b>Provide training and guidance on Tosca best practices and new features to team members
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><div><b>Required Skills and Qualifications
</b></div><ul><li><b>Core Expertise: </b>Strong hands-on experience in Tricentis Tosca .
</li><li><b>Technologies: </b>Experience automating Web, API, and Mobile applications.
</li><li><b>Methodologies: </b>Strong knowledge of Agile/Scrum and DevOps practices.
</li><li><b>Experience: </b>10+ years
</li></ul></div></div></div></div></div></div></div><div><div><div><div>Mandatory Skills: Tosca Testsuite - Test Automation .<br>
<p></p>Experience: 8-10 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

TOSCA Automation 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

Carease Health

<div><p><b>AI Architect</b></p><p><b>
About Carease Health</b></p><p>
Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.</p><p>
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.</p><p>
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.</p><p>
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.</p><p><b>
Role Overview</b></p><p>
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.</p><p>
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.</p><p>
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.</p><p><b>
What You Will Do</b></p><ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul><p><b>
What We Are Looking For</b></p><ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul><p><b>
Nice to Have</b></p><ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul><p><b>
Why Join Carease Health</b></p><ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul><p><b>
Compensation and Location</b></p><ul><li>Salary: $200,000 to $240,000 base</li><li>Performance-based bonus</li><li>Location: Lakewood, NJ and NYC</li><li>Hybrid preferred</li></ul><p><b>
How to Apply</b></p><p>
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.</p><p>
Please submit your resume and any relevant project or system experience.</p></div><p></p>

AI Architect Hybrid

The Optimal Group

<div><p><b>JOB TITLE:</b> AI Architect</p><p><b>
LOCATION</b>: Dubai, UAE (On-site / Hybrid)</p><p><b>
TYPE</b>: Full-Time</p><p><b>
SALARY</b>: AED 25,000 &ndash; 35,000/month (DOE) + Performance Bonus</p><p></p><p><b>
ABOUT THE ROLE</b></p><p>
We are looking for a high-calibre AI Architect to lead the design, development, and deployment of AI-driven systems and solutions across our business. This is a senior, hands-on role that sits at the intersection of strategy and execution. You will be responsible for translating business objectives into scalable AI architecture, building intelligent automation systems, and driving our AI roadmap from concept to production.</p><p></p><p><b>
KEY RESPONSIBILITIES</b></p><ul><li>Design and implement end-to-end AI architecture including machine learning pipelines, LLM integrations, and agentic AI systems</li><li>Lead the evaluation, selection, and deployment of AI platforms, models, and tools</li><li>Build and integrate AI solutions into existing infrastructure and business workflows</li><li>Develop frameworks for AI governance, performance monitoring, and continuous improvement</li><li>Collaborate with operations, product, and leadership teams to identify AI opportunities and prioritise delivery</li><li>Research emerging AI technologies and provide strategic recommendations</li><li>Ensure all AI systems comply with data security, privacy, and regulatory standards</li><li>Document architecture decisions, system designs, and technical specifications</li></ul><p></p><p><b>
REQUIREMENTS</b></p><ul><li>5+ years of experience in AI/ML architecture, solutions architecture, or a related senior technical role</li><li>Proven experience designing and deploying production-grade AI systems</li><li>Strong proficiency in Python, and familiarity with major AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.)</li><li>Hands-on experience with LLMs, RAG systems, and agentic AI frameworks</li><li>Cloud architecture experience: AWS, Azure, or GCP</li><li>Experience with API integration, microservices, and scalable system design</li><li>Strong commercial awareness &mdash; you understand how AI translates to business value</li><li>Excellent communication skills &mdash; ability to present technical solutions to non-technical stakeholders</li></ul><p></p><p><b>
NICE TO HAVE</b></p><ul><li>Experience in property, construction, or facilities management sectors</li><li>Familiarity with AI automation tools (n8n, Make, Zapier AI, etc.)</li><li>UAE residency or existing Dubai visa</li><li>Arabic language skills (not essential)</li></ul><p></p><p><b>
WHAT WE OFFER</b></p><ul><li>Competitive tax-free salary: AED 25,000 &ndash; 35,000/month</li><li>Performance-based bonus</li><li>High-autonomy role with direct access to senior leadership</li><li>Fast-moving, execution-focused environment</li><li>Opportunity to build and own the AI function from the ground up</li></ul></div><p></p>

CodeNinja

<div>About CodeNinja<p>
CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.</p><p>
With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.</p><p>
For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.</p>
About the Role<p>
The QA Lead (Offsite) owns the automation framework architecture, governs code quality and peer reviews, oversees sprint-level delivery, coordinates Client-Jira integration, and leads the AI-enabled test capability rollout. This is a senior technical leadership role driving the offsite automation engine of the programme.</p>
Key Responsibilities<ul><li>Architect and own the modular automation framework (UI, API, service layer) using Page Object Model design.</li><li>Govern code quality through mandatory peer reviews, coding standards, and reusable component libraries.</li><li>Oversee sprint-level delivery of 420&ndash;520 automated test scenarios across varying complexity tiers.</li><li>Coordinate Client-Jira/Xray two-way integration for test plans, execution results, and defect traceability.</li><li>Lead the rollout of AI-enabled testing capabilities including self-healing locators and risk-based regression optimisation.</li><li>Manage the offsite automation team and coordinate with the onsite QA Lead for SIT/UAT alignment.</li><li>Track automation coverage KPIs and publish real-time dashboards.</li><li>Ensure all automated scripts comply with the client's security and data governance policies.</li></ul><b><br>
Requirements</b><ul><li><br>
13+ years of QA experience with at least 6 years leading automation teams.</li><li>Expert-level proficiency in Playwright, Selenium WebDriver, and REST Assured.</li><li>Strong framework architecture skills: modular design, data-driven execution, centralised configuration.</li><li>Experience integrating automation with Jira/Xray via REST APIs.</li><li>Familiarity with AI/ML-assisted test generation and self-healing automation concepts.</li><li>Proficiency in Jenkins or GitLab CI/CD pipeline configuration for automated test execution.</li><li>Experience delivering automation programmes for banking or regulated financial institutions.</li><li>Preferred Certifications: ISTQB Test Automation Engineer, Certified Selenium Professional, AWS Solutions Architect Associate.</li></ul>
Why Join CodeNinja?<ul><li>Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution.</li><li>Be part of a team that's shaping the future of AI-enabled test automation in the MENA region.</li><li>Collaborate with world-class QA professionals across onsite and offsite delivery models.</li><li>Access to continuous upskilling &mdash; certifications, AI/ML tooling, and emerging QA methodologies.</li><li>Competitive compensation with performance-linked incentives and career progression pathways.</li><li>A culture that values technical excellence, ownership, and innovation without bureaucracy.</li></ul>
Disclaimer<p>
This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.</p><p>
All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.</p></div>

QA Lead - Test Automation | Playwright | Selenium | AI Testing

<div><p>Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.</p><p>
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.</p><p>
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.</p><p>
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.</p><p><b>
Role Overview</b></p><p>
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.</p><p>
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.</p><p>
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.</p><p><b>
What You Will Do</b></p><ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul><p><b>
What We Are Looking For</b></p><ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul><p><b>
Nice to Have</b></p><ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul><p><b>
Why Join Carease Health</b></p><ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul><p></p><p><br>
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.</p><p>
Please submit your resume and any relevant project or system experience.</p></div><p></p>

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>


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