ai 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

<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>

Confiz

<div><p>We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.</p>
<p>Key Responsibilities</p>
<ul><li>Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</li>
<li>Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</li>
<li>Build production-ready voicebot solutions integrating real-time speech processing pipelines</li>
<li>Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</li>
<li>Design and Deploy PROD grade AI Agents that can scale up for various use cases.</li>
<li>Fine-tune large language models using various techniques.</li>
<li>Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</li>
<li>Implement evaluation frameworks and metrics for LLM outputs and conversational quality</li>
<li>Develop custom training pipelines for domain adaptation and specialized use cases</li>
<li>Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</li>
<li>Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</li>
<li>Build monitoring and observability solutions for AI systems in production</li>
<li>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</li>
<li>Experiment with emerging models and frameworks to evaluate applicability to business problems</li>
<li>Contribute to technical documentation, best practices, and knowledge sharing within the team</li>
<li>Prototype and validate new AI capabilities through POCs and pilots</li>
</ul>
<p>Required Qualifications</p>
<ul><li>8+ years of software engineering experience with 4+ years focused on AI/ML engineering</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)</li>
<li>Master's or PhD in Computer Science, AI/ML, or related technical field</li>
<li>Experience with open-source LLMs (Llama, Mistral, etc.) and local deployment</li>
<li>Knowledge of reinforcement learning from human feedback (RLHF) and DPO</li>
<li>Familiarity with multi-modal AI systems (vision-language models, audio-visual understanding)</li>
<li>Experience with real-time streaming architectures and WebRTC</li>
<li>Published research or contributions to open-source AI projects</li>
<li>Experience with GPU optimization and distributed training</li>
<li>Knowledge of voice biometrics, speaker diarization, or emotion recognition</li>
<li>Background in linguistics, phonetics, or speech processing</li>
<li>Deep hands-on experience with advanced RAG systems:</li>
<li>Multi-stage retrieval architectures (hybrid search, re-ranking)</li>
<li>Embedding models and vector similarity search</li>
<li>Document processing, chunking strategies, and metadata filtering</li>
<li>Query understanding and retrieval optimization</li>
<li>Multi-turn dialogue management</li>
<li>Intent recognition and slot filling</li>
<li>Context tracking and memory management</li>
<li>Integration with LLM APIs (OpenAI, Anthropic, Cohere, etc.)</li>
<li>Production experience with voicebot development:</li>
<li>Real-time audio streaming and processing</li>
<li>Voice activity detection (VAD)</li>
<li>End-to-end latency optimization</li>
<li>Integration of STT, dialogue management, and TTS components</li>
<li>Expertise in TTS and STT technologies:</li>
<li>Modern TTS systems (ElevenLabs, Soniox, Azure Speech)</li>
<li>STT engines ( Deepgram, AssemblyAI)</li>
<li>Audio preprocessing and enhancement</li>
<li>Voice cloning and customization</li>
<li>Strong experience with LLM fine-tuning:</li>
<li>Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li>
<li>Experience with MLOps tools and practices (MLflow, Weights &amp; Biases, experiment tracking)</li>
<li>Strong understanding of API design, microservices architecture, and system integration</li>
<li>Knowledge of version control, CI/CD pipelines, and deployment automation</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</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><p></p><div><p><b><br>
What you&rsquo;ll build</b></p><p></p><p><br>
The Global Delivery Hub, a subdivision of SAP Customer Value Group, has the goal and mission to ensure AI and Innovation adoption and consumption in our customer base.</p><p><br>
We are seeking an experienced SAP AI Business Architect with deep Manufacturing/PLM expertise to architect, design and drive AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP application areas (Manufacturing/PLM) along with good knowledge on AI frameworks, and SAP Business Technology Platform (BTP), ensuring identifying business challenges and translating them into AI driven solutions, resulting in positive business outcomes for our customers.</p><p><br>
Our customers are focused on realizing business outcomes, leveraging solutions and technologies, especially AI. As an SAP Business AI Architect, the role requires a strong understanding of working with end-to-end business process design and realization across SAP Business Suite solutions in manufacturing and PLM, and the ability to translate industry-specific business outcomes and process requirements into effective AI-led technical architectures and solutions.</p><p><br>
<br>
<b>Expectations and Tasks:</b></p><div><ul><li><br>
Lead executive-level AI discovery, strategy, and innovation workshops tailored to Manufacturing, PLM use cases.</li><li>Identify, prioritize, and design AI/GenAI use cases; build and run PoCs/MVPs to validate value and feasibility for Manufacturing, and PLM.</li><li>Drive Architecture Transformation Services for strategic customers; define target architectures and roadmaps aligned to SAP product roadmaps and SAP Business AI.</li><li>Lead as Solution Architect for complex SAP programs (S/4HANA Manufacturing, Digital Manufacturing, PLM, etc.), from discovery through go-live and value realization.</li><li>Resolve critical customer situations by applying strong techno /functional expertise in SAP Manufacturing/PLM and related processes.</li><li>Collaborate with SAP product engineering and product management on roadmaps (e.g., Joule, SAP AI Core/Launchpad, Generative AI Hub) to guide customers to future-proof choices.</li><li>Advise on SAP best practices, SAP reference architectures, and implementation patterns for supported SAP Solution Areas in Manufacturing &amp; PLM</li><li>Champion SAP Services portfolio (e.g., Success Plans) and collaborate with Sales, and Delivery to position and execute value-based engagements.</li><li>Coach and coordinate cross-functional teams across the Americas; provide thought leadership, assets, and repeatable patterns to scale AI adoption</li><li>Candidates should be prepared to travel up to 40% as part of this role</li></ul></div><p></p><p><b><br>
What you bring</b></p><p></p><div><ul><li><br>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or related field.</li><li>10+ years of experience in the below-mentioned application and technology topics.</li><li>Proven experience as an SAP Architect with expertise in SAP Manufacturing (S/4HANA Production Planning, Production Planning and Detailed Scheduling (PP/DS)..etc) . Or SAP PLM Solutions (Process / Discrete)</li><li>Proficiency in SAP BTP services, including SAP AI Core, SAP AI Business Services, SAP Integration Suite, and SAP Extension Suite.</li><li>Experience in architecting scenarios with use of SAP AI technologies and BTP services.</li><li>Experience in architecting and deploying new AI Agents in SAP Manufacturing/PLM areas.</li><li>Familiarity with SAP Joule, SAP HANA Cloud, SAP Data Intelligence, and SAP Analytics Cloud, Vector Engines, and Knowledge Graphs.</li><li>Good understanding of Generative AI &amp; Prompt Engineering</li><li>Excellent problem-solving, communication, and leadership skills.</li><li>An AI-Powered Mindset</li><li>Strong business process acumen and ability to understand the challenges you are asked to solve</li><li>At least one industry experience is a must with strong domain knowledge</li></ul></div><p></p><div><b><br>
#DA26</b></div></div><div></div><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.</div><div><br>
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.</div><div></div><div><b><br>
Compensation Range Transparency</b>: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP&rsquo;s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is 151900 - 258300(USD). The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.</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><div>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 446617 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 40% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div></div>

Business AI Architect - Manufacturing/PLM

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

Team Moxim

<p>Job Opportunity: AI Solutions Architect</p><p><b>Location:</b> Mesaieed, Qatar<br/><b>Company:</b> Team Moxim</p><p>About Us</p><p>Team Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary <b>AI Solutions Architect</b> to design and deliver advanced AI-driven systems.</p><p>Role Overview</p><p>We are looking for an <b>AI Solutions Architect</b> to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.</p><p>Key Responsibilities</p><ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul><p>Why Join Us?</p><ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul><p>Pay: Up to QAR32,000.00 per month</p><p>Work Location: In person</p>

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