ai systems architect

Swiss Hospitality

<div><p>We are seeking a senior AI Systems Architect to design and implement AI-native application cores where Large Language Models (LLMs), vector databases, retrieval systems, and agent frameworks form the primary computational layer of our web and mobile applications.</p><p>
This role is responsible for architecting scalable AI pipelines, retrieval-augmented generation (RAG) systems, memory architectures, AI agents, and orchestration workflows integrated with our development stack (Web, Mobile, n8n automation, and AI services).</p><p>
The ideal candidate understands that AI is not a feature, it is the operating system of the product.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
1. AI Core Architecture Design</b></p><ul><li>
Design AI-first system architecture for web and mobile applications</li><li>
Architect RAG pipelines using vector databases</li><li>
Define long-term memory, short-term memory, and contextual state systems</li><li>
Implement multi-agent AI systems</li><li>
Design AI orchestration layers</li></ul><p><b>
2. Vector Database &amp; Embedding Systems</b></p><ul><li>
Select and implement vector databases such as:</li><li><ul><li>
Pinecone</li><li>
Weaviate</li><li>
Qdrant</li><li>
Milvus</li><li>
Supabase (pgvector)</li></ul></li><li>
Optimize embedding strategies</li><li>
Implement hybrid search (semantic + keyword)</li><li>
Design scalable indexing pipelines</li></ul><p><b>
3. LLM Integration &amp; Optimization</b></p><ul><li>
Work with models such as:</li><li><ul><li>
OpenAI APIs</li><li>
Anthropic</li><li>
Meta (LLaMA)</li><li>
DeepSeek</li><li>
Alibaba (Qwen)</li></ul></li><li>
Implement structured output pipelines</li><li>
Design evaluation and prompt testing frameworks</li><li>
Optimize cost-performance ratio</li></ul><p><b>
4. AI Agent Systems &amp; Orchestration</b></p><ul><li>
Build autonomous AI agents</li><li>
Design tool-calling systems</li><li>
Integrate with:</li><li><ul><li>
n8n</li><li>
LangGraph / LangChain style agent flows</li></ul></li><li>
Implement memory-aware agents</li></ul><p><b>
5. Production AI Engineering</b></p><ul><li>
Build monitoring systems for hallucination detection</li><li>
Design guardrails and validation layers</li><li>
Implement evaluation datasets and benchmarking</li><li>
Ensure security of AI pipelines</li><li>
Build scalable infrastructure (Docker, Kubernetes, GPU optimization)</li></ul><br>
<b>
Requirements</b><p><b><br>
Technical Expertise</b></p><ul><li>
5+ years software engineering experience</li><li>
2+ years building production AI systems</li><li>
Deep knowledge of:</li><li><ul><li>
Vector embeddings &amp; similarity search</li><li>
RAG architectures</li><li>
Tokenization and context window optimization</li><li>
Fine-tuning &amp; LoRA concepts</li><li>
Prompt evaluation frameworks</li></ul></li><li>
Experience with Python (mandatory)</li><li>
Experience with FastAPI / backend services</li><li>
Experience designing scalable APIs</li></ul><p><b>
Architecture Experience</b></p><ul><li>
Designing distributed systems</li><li>
Microservices &amp; event-driven architecture</li><li>
Experience with PostgreSQL + pgvector</li><li>
Experience deploying LLM systems in production</li></ul></div>

AI Systems Architect - LLM & Vector Infrastructure

MERN Solution

<p><b>Hiring: Architect-Level Full Stack Developer (AI Bots &amp; AI Models Expert)</b></p><p>We are looking for a <b>senior, architect-level Full Stack Developer</b> with <b>deep expertise in AI Bots, AI Models, and large-scale system architecture</b>.<br/>This role is <b>strictly for professionals with 10+ years of real-world experience</b>.<br/><b>Junior or mid-level candidates (2&ndash;5 years experience) should NOT apply.</b></p><p>This position requires <b>hands-on coding</b>, <b>AI system design</b>, and <b>technical leadership</b>. You will be responsible for designing, building, and scaling <b>production-grade AI-driven platforms</b>.</p><p>Key Responsibilities</p><ul><li>Design and own <b>enterprise-level system architecture</b></li><li>Build, scale, and maintain <b>AI Bots and AI-powered applications</b></li><li>Architect and integrate <b>AI models (LLMs, automation pipelines, agents)</b> into production</li><li>Lead backend development using <b>Python</b></li><li>Develop modern, scalable frontends using <b>React / Next.js / Vue</b></li><li>Design and optimize <b>REST APIs, microservices, and data pipelines</b></li><li>Ensure <b>performance, security, scalability, and reliability</b></li><li>Review code, enforce best practices, and <b>mentor senior developers</b></li><li>Collaborate with product, DevOps, and leadership teams</li><li>Take full ownership of <b>end-to-end technical solutions</b></li></ul><p>Required Skills (Must Have &ndash; Non-Negotiable)</p><ul><li><b>10+ years of professional software development experience</b></li><li><b>Strong Python expertise</b> (backend + AI/ML integration)</li><li>Proven experience building <b>AI Bots / AI Agents / AI Automation systems</b></li><li>Hands-on experience with <b>AI Models / LLMs / prompt systems / pipelines</b></li><li>Advanced <b>JavaScript</b> knowledge (React, Next.js, Vue, or similar)</li><li><b>Architect-level system design</b> experience (large-scale systems)</li><li>REST APIs, Microservices, and distributed systems</li><li>Strong database skills (<b>SQL &amp; NoSQL</b>)</li><li>Cloud platforms: <b>AWS / GCP / Azure</b></li><li>Git, CI/CD pipelines, production deployments</li></ul><p>Nice to Have</p><ul><li>DevOps experience (<b>Docker, Kubernetes</b>)</li><li>SaaS product architecture experience</li><li>Performance optimization &amp; high-traffic scalability</li><li>Technical Architect / Team Lead background</li></ul><p>Ideal Candidate Profile</p><ul><li><b>Architect-level thinker with hands-on coding skills</b></li><li>Expert in <b>AI Bots and AI-driven systems</b></li><li>Can design systems from <b>idea &rarr; production &rarr; scale</b></li><li>Strong communication and leadership skills</li><li>Experience working on <b>complex, large-scale platforms</b></li><li>Comfortable making <b>high-impact technical decisions</b></li></ul><p>Important Notice</p><ul><li>This role is <b>NOT suitable for junior or mid-level developers</b></li><li>Candidates with <b>less than 7 years experience will not be considered</b></li><li>Please apply <b>only if you meet the experience requirement</b></li></ul><p>How to Apply</p><p>Apply via <b>Indeed</b> with:</p><ul><li>Updated CV</li><li>Portfolio or <b>GitHub links</b></li><li>Brief summary of <b>AI systems / bots / models</b> you have worked on</li></ul><p>Only shortlisted candidates will be contacted.</p><p>Job Type: Full-time</p><p>Pay: Rs280,000.00 - Rs300,000.00 per month</p><p>Work Location: Hybrid remote in Lahore</p>

Senior Full Stack Architect (Python / AI / JavaScript)

Teradata

<div><h1 class="jobSectionHeader"><b>Senior AI Data Engineer</b></h1>
<p><b>Our Company</b></p>
<p>At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.</p>
<p>As the recognized leader in data and analytics, Teradata is all about empowering high-impact business outcomes to unleash the potential of great companies. We focus every day on helping customers build lasting analytic capabilities and drive differentiated value through our flexible delivery of analytics at scale on an agile data foundation, now enhanced with cutting-edge AI, Generative AI, and Agentic AI capabilities.</p>
<p>Our mission is to build the world-class AI and data ecosystem for the industry leader in mega-scale Analytics platforms. Teradata is looking for senior engineers who can bridge the gap between data infrastructure and artificial intelligence. We need innovators who can architect robust data pipelines while building intelligent systems including autonomous AI agents, multi-agent systems, and AI-powered applications that can reason, plan, and take actions to solve complex business problems.</p>
<h2 class="jobSectionHeader"><b>Role Overview</b></h2>
<p>The Senior AI Data Engineer will architect and build both the data infrastructure and intelligent AI systems that power enterprise analytics, with primary focus on:</p>
<h2 class="jobSectionHeader"><b>Data Engineering and Architecture</b></h2>
<p>Design and build scalable data pipelines for batch and real-time processing using Teradata Vantage and enterprise data platforms. Develop integration solutions acquiring data from multiple sources, transforming it into analytics-ready formats optimized for AI/ML workloads. Leverage Teradata's advanced SQL, in-database analytics, and parallel processing. Create feature engineering pipelines and feature stores for ML operations. Implement data versioning and lineage tracking.</p>
<h2 class="jobSectionHeader"><b>Agentic AI and Multi-Agent Systems</b></h2>
<p>Design autonomous AI agents that perceive, reason, plan, and execute complex tasks with minimal human intervention. Develop agentic workflows using LangChain, LangGraph, n8n, and orchestration tools. Build multi-agent systems where specialized agents collaborate through orchestration frameworks, task decomposition, and communication protocols. Create workflow automation with visual and code-based builders. Implement feedback loops, self-improvement mechanisms, and human-in-the-loop supervision. Deploy Model Context Protocol (MCP) for agent-to-agent and agent-to-system communication.</p>
 <h2 class="jobSectionHeader"><b>AI-Powered Data Applications</b></h2>
<p>Build applications integrating LLMs, generative AI, and agentic capabilities with enterprise data systems. Design natural language interfaces for data operations, querying, and analytics. Create AI copilots that understand context, query databases, generate reports, and execute multi-step workflows. Develop tool-using agents that interact with APIs, databases, and external systems. Implement AI-driven automation for analysis, insight generation, and decision support.</p>
 <h2 class="jobSectionHeader"><b>LLM Integration and RAG Systems</b></h2>
<p>Architect LLM solutions using foundation models and fine-tuned variants. Apply prompt engineering, few-shot learning, and chain-of-thought reasoning. Build retrieval-augmented generation (RAG) systems connecting LLMs with enterprise data using vector databases. Design hybrid search combining semantic and keyword approaches. Develop data ingestion for vector databases including chunking, embedding generation, and metadata management. Optimize inference with caching strategies.</p>
 <p><b>Data Management and Governance</b></p>
<p>Implement data management including lineage tracking, metadata management, quality monitoring, and cataloging. Build governance frameworks ensuring privacy, security, and compliance. Design data models for analytical and operational workloads. Create access controls and audit logging for AI applications.</p>
 <p><b>System Architecture and Infrastructure</b></p>
<p>Design production-grade architectures integrating data platforms with AI systems. Build event-driven architectures for data processing and AI workflows. Implement state management for conversational AI and long-running agents. Create comprehensive observability, monitoring, and logging infrastructure. Deploy using containerization and orchestration technologies.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Architect scalable data pipelines for batch and real-time processing supporting AI/ML workloads and low-latency inference</li>
<li>Design and implement autonomous AI agents and multi-agent systems for enterprise data operations</li>
<li>Build production-grade AI applications integrating LLMs, GenAI, and RAG systems with vector databases and enterprise data warehouses</li>
<li>Develop feature engineering pipelines and feature stores for ML model training and inference</li>
<li>Create AI copilots and assistants using advanced prompt engineering and agentic workflows for data querying, analysis, and insight generation</li>
<li>Design event-driven architectures integrating data processing with AI agent coordination</li>
<li>Implement comprehensive observability, data quality frameworks, and monitoring across data pipelines and AI systems</li>
<li>Build data governance solutions including security controls, AI safety measures, and compliance frameworks for production systems</li>
<li>Collaborate with data scientists, analysts, and product teams to define requirements and success metrics</li>
<li>Provide technical leadership on architecture decisions and stay current with emerging technologies in data engineering and AI domains</li><br>
</ul>
<p></p><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<ul><li>5+ years of data engineering experience building production data pipelines and ETL/ELT solutions</li>
<li>3+ years building and deploying production AI applications, LLMs, and GenAI systems</li>
<li>Strong proficiency in Python and SQL for data processing, analytics, and AI development</li>
<li>Hands-on experience with LLMs, GenAI, prompt engineering, RAG systems, and agentic workflows using frameworks such as LangChain, LangGraph, or n8n</li>
<li>Experience with vector databases, semantic search, and data processing technologies including parallel processing frameworks</li>
<li>Strong understanding of relational databases, data warehouses, and data modeling; knowledge of Teradata Vantage platform preferred</li>
<li>Solid software engineering fundamentals including API design, microservices, and distributed system architecture</li>
<li>Experience with cloud platforms (AWS, Azure, or GCP) for data and AI workloads</li>
<li>Understanding of data governance, security, and compliance best practices</li>
<li>Excellent problem-solving skills with ability to architect complex integrated systems</li>
<li>Strong communication and collaboration skills for cross-functional leadership</li>
<li>Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<ul><li>Experience with Teradata platform including Vantage, QueryGrid, VantageCloud, and AI/ML capabilities</li>
<li>Hands-on experience building multi-agent systems, agent orchestration frameworks, and agentic workflows using LangChain, LangGraph, n8n, or similar platforms</li>
<li>Knowledge of agent reasoning patterns, Model Context Protocol (MCP), and multi-step task execution strategies</li>
<li>Experience with advanced RAG techniques including hybrid search, query rewriting, re-ranking, and multiple vector database technologies</li>
<li>Knowledge of data lakehouse architectures, modern data platform patterns, and streaming technologies for real-time processing</li>
<li>Experience with data orchestration tools, workflow management systems, and feature store implementations for ML operations</li>
<li>Experience with containerization (Docker), orchestration (Kubernetes), and distributed systems for data and AI workloads</li>
<li>Knowledge of LLM evaluation frameworks and observability platforms for both data pipelines and AI systems</li>
<li>Experience with diverse data storage patterns including SQL, NoSQL, and graph databases for knowledge graphs</li>
<li>Knowledge of data versioning, lineage tracking, metadata management, and data quality frameworks</li>
<li>Understanding of AI ethics, responsible AI practices, and data privacy regulations</li>
<li>Contributions to open-source projects in data engineering or AI domains</li>
</ul><p>#LI-NM1</p></div>

Senior AI Data Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems&mdash;comprising task-specific autonomous tools governed by a master agent&mdash;to support complex technical decision-making in industrial environments.<br>
This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
</p></div><div><p>Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
</p></div><div><p>Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
</p></div><div><p>Collaborate with domain experts to align agent behavior with technical expectations and constraints.
</p></div><div><p>Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
</p></div><div><p>Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
</p></div><div><p>Business trip to Kuwait for first 6-12 months. On-site
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
</p></div><div><p>Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
</p></div><div><p>Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
</p></div><div><p>Ability to work with APIs, data models, and external toolchains across complex systems.
</p></div><div><p>Comfortable operating independently with minimal supervision in a cross-functional environment.
</p></div><div><p>Ready for a long term business trip to Kuwait for first 6-12 months
</p></div></div><p>Nice to have
</p><div><div><p>Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
</p></div><div><p>Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
</p></div><div><p>Familiarity with Azure or AWS development environments.
</p></div><div><p>Certifications:
</p></div><div><p>Azure AI Engineer or Azure Data Engineer certification is a plus.
</p></div><div><p>AWS experience is nice to have, but not required.
</p></div><div><p>Industry Experience:
</p></div><div><p>Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.
</p></div><div><p>However, candidates with relevant AI system-building experience in other complex industries are encouraged to apply.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118734
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-118734</p></div></div></div><p></p>

AI Agent Architect (onsite work in Kuwait)

MaxAccelerate

<p></p><div><p>MaxAccelerate AI Labs Division<br>
Location: UAE / Europe / Remote (Flexible)<br>
Reports to: Group CEO / Head of Innovation</p><p>
About MaxAccelerate AI Labs</p><p>
MaxAccelerate AI Labs is the innovation division of MaxAccelerate Technology Group, focused on designing and deploying next-generation AI automation ecosystems for enterprise clients.</p><p>
We are building intelligent AI Agents that integrate across CRM platforms such as Salesforce, Microsoft Dynamics, HubSpot and Zoho &mdash; transforming Sales, Recruitment, Customer Service and Executive Intelligence operations.</p><p>
Our objective is to build a catalogue of production-ready AI solutions and an AI Academy for enterprise deployment.</p><p>
We are now seeking an AI Subject Matter Expert (SME) to lead technical architecture, prototyping and deployment of AI agent systems.</p><p>
The Role</p><p>
This is a hands-on technical role. You will be responsible for:</p><ul><li>Designing and deploying enterprise-grade AI agent systems</li><li>Building working prototypes and production-ready AI automations</li><li>Selecting and implementing best-in-class AI models and frameworks</li><li>Architecting multi-agent workflows</li><li>Integrating AI into CRM and business systems</li><li>Supporting the creation of modular AI solutions for repeatable deployment</li></ul><p>
This is not a management-only role. We are looking for someone who actively builds.</p><p>
Key Responsibilities</p><p>
AI Agent Design &amp; Deployment</p><p>
Design, build and optimise:</p><ul><li>AI Sales Agents (SDR automation, lead qualification, CRM updates)</li><li>AI Customer Service Agents (ticket triage, response drafting, sentiment analysis)</li><li>AI Recruitment Agents (CV screening, candidate scoring, AI interviewers)</li><li>AI Executive Insight Agents (KPI summaries, reporting automation)</li></ul><p>
Experience required in:</p><ul><li>Multi-agent systems</li><li>Tool / function calling</li><li>Retrieval-Augmented Generation (RAG)</li><li>Memory systems and vector databases</li><li>Workflow orchestration for AI agents</li></ul><p>
LLM &amp; Model Experience</p><p>
Hands-on experience with:</p><ul><li>OpenAI ecosystem (production or prototype deployments)</li><li>Anthropic Claude</li><li>Google Gemini</li><li>Azure OpenAI</li><li>Open-source LLMs (Llama, Mistral or similar)</li><li>Structured outputs and guardrails</li><li>Model selection based on use case, latency and cost</li></ul><p>
CRM &amp; System Integrations</p><p>
Experience integrating AI systems with:</p><ul><li>Salesforce (preferred but not essential)</li><li>Microsoft Dynamics</li><li>HubSpot</li><li>Zoho</li></ul><p>
Understanding of:</p><ul><li>REST APIs</li><li>OAuth authentication</li><li>Webhooks</li><li>Automation tools (Make, Zapier, n8n or similar)</li></ul><p>
Salesforce CRM experience is preferred but not essential.</p><p>
AI Data &amp; Knowledge Architecture</p><p>
Experience with:</p><ul><li>Vector databases (Pinecone, Weaviate, Chroma or similar)</li><li>Knowledge retrieval systems</li><li>Semantic data structuring</li><li>Business data modelling for AI use cases</li></ul><p>
Conversational &amp; Voice AI</p><p>
Experience with:</p><ul><li>Conversational AI frameworks</li><li>AI voice agents</li><li>Speech-to-text and text-to-speech systems</li><li>Telephony or real-time AI integrations</li></ul><p>
Governance &amp; Responsible AI</p><p>
Knowledge of:</p><ul><li>Data governance principles</li><li>Prompt injection mitigation</li><li>AI monitoring and evaluation</li><li>Responsible AI deployment</li></ul><p>
Candidate Requirements</p><ul><li>12&ndash;24 months hands-on experience building AI agents or AI automation systems</li><li>Proven working prototype examples of AI agents already built and deployed (must be able to demonstrate)</li><li>Strong systems-thinking and architecture mindset</li><li>Comfortable operating in a fast-moving innovation environment</li><li>Commercial awareness and ability to translate technical solutions into business outcomes</li></ul><p>
This role is suited to a builder who has already created real AI agents and wants to scale that experience into enterprise-grade deployments.</p><p>
What You Will Help Build</p><ul><li>A full AI Agent Ecosystem</li><li>A catalogue of modular AI automation solutions</li><li>Enterprise-ready AI deployment frameworks</li><li>AI training and enablement programmes</li></ul><p>
If you have already built AI agents and want to help architect and scale a dedicated AI Labs division, we would like to hear from you.</p><p>
Please apply with:</p><ul><li>Your LinkedIn profile</li><li>A short summary of AI agents you have built</li><li>Links, demos or documentation of prototype systems</li></ul><p>
If you&rsquo;d like, I can now:</p><ul><li>Make a shorter recruiter-friendly LinkedIn ad version</li><li>Add compensation band positioning</li><li>Write a direct message template to attract candidates</li><li>Or structure an interview scoring framework for this role</li></ul><p>
What stage are you at &mdash; posting publicly or targeting specific profiles?</p></div><p></p>

AI SME (Subject Matter Expert)

Rewaa

<div>
 <p>
  <span>
   Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   As a Staff AI Engineer, you&rsquo;ll define and lead the technical direction for production-grade AI systems across the company. You won&rsquo;t just build agents&mdash;you&rsquo;ll design the platforms, patterns, and guardrails that other engineers rely on to ship AI safely and at scale.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   You&rsquo;ll architect end-to-end AI systems such as customer intelligence agents, internal copilots, automated workflows, and retrieval-augmented generation (RAG) platforms used by multiple teams. You&rsquo;ll work with modern frameworks like LangGraph, LlamaIndex, AWS Agent Core, or Vertex AI Agent Builder, and make principled decisions about when to use them&mdash;and when not to.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   This is not a research role. It&rsquo;s senior-level engineering leadership with deep hands-on ownership. You&rsquo;ll set standards, review designs, mentor engineers, and still write production code when it matters most. You&rsquo;ll be accountable for reliability, cost, and long-term maintainability of AI systems running in production.
  </span>
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   Core Responsibilities
  </strong>
  <ul>
   <li>
    <strong>
     Technical Leadership
    </strong>
   </li>
   <li>
    Define reference architectures and best practices for AI systems across teams
   </li>
   <li>
    Lead design reviews for complex AI and agentic systems
   </li>
   <li>
    Make high-impact architectural decisions balancing speed, cost, accuracy, and reliability
   </li>
   <li>
    Identify when to build vs buy vs integrate third-party AI tooling
    <br/>
    <br/>
   </li>
  </ul>
  <ul>
   <li>
    <strong>
     AI Systems Architecture
    </strong>
   </li>
   <li>
    Design scalable RAG and agent-based systems (single-agent and multi-agent)
   </li>
   <li>
    Own system-level concerns: orchestration, memory, retrieval, evaluation, and fallback strategies
   </li>
   <li>
    Establish prompt versioning, evaluation, and deployment standards across the org
   </li>
   <li>
    Drive consistency in embeddings, vector databases, and retrieval strategies
    <br/>
    <br/>
   </li>
  </ul>
  <ul>
   <li>
    <strong>
     Production Engineering
    </strong>
   </li>
   <li>
    Design resilient systems: retries, timeouts, circuit breakers, graceful degradation
   </li>
   <li>
    Build async pipelines, background workers, and event-driven workflows
   </li>
   <li>
    Own production incidents and lead post-mortems with clear corrective actions
    <br/>
    <br/>
   </li>
  </ul>
  <ul>
   <li>
    <strong>
     Operational Excellence
    </strong>
   </li>
   <li>
    Define and monitor AI-specific SLIs/SLOs (latency, accuracy, cost per request, hallucination rate)
   </li>
   <li>
    Drive LLM cost optimization strategies at scale
   </li>
   <li>
    Implement rollout strategies using feature flags, canaries, and staged deployments
   </li>
   <li>
    Ensure security, compliance, and PII protection in AI systems
    <br/>
    <br/>
   </li>
  </ul>
  <ul>
   <li>
    <strong>
     Team &amp; Org Impact
     <br/>
    </strong>
   </li>
  </ul>
  <ul>
   <li>
    Mentor senior and mid-level engineers in AI systems engineering
   </li>
   <li>
    Raise the engineering bar through code reviews, design guidance, and shared tooling
   </li>
   <li>
    Partner with product, data, and leadership to shape the AI roadmap
   </li>
   <li>
    Turn ambiguous business problems into clear technical plans
    <br/>
   </li>
  </ul>
  <p>
   <br/>
  </p>
  <strong>
   Required Technical Skills
  </strong>
  <ul>
   <li>
    Proven experience designing and operating multiple AI systems in production
   </li>
   <li>
    Deep expertise in LLM orchestration frameworks (LangGraph, LlamaIndex, AWS Agent Core, or similar)
   </li>
   <li>
    Strong understanding of RAG systems: embeddings, chunking strategies, hybrid retrieval, reranking
   </li>
   <li>
    Experience treating prompts as production artifacts: versioning, testing, evaluation, rollback
   </li>
   <li>
    Advanced Python engineering with strong system design fundamentals
   </li>
   <li>
    Experience building distributed, async, and event-driven systems
   </li>
   <li>
    Testing strategies for non-deterministic systems (prompt tests, golden datasets, eval pipelines)
   </li>
   <li>
    Ability to debug complex failures across multiple services and AI components
   </li>
   <li>
    Monitoring and observability for AI systems (not just infrastructure)
   </li>
   <li>
    Cost modeling and optimization for LLM-powered workloads
   </li>
   <li>
    CI/CD pipelines and safe deployment strategies for AI features
   </li>
   <li>
    Security best practices including prompt injection mitigation and data isolation
   </li>
   <li>
    6&ndash;10+ years of professional software engineering experience
   </li>
   <li>
    3+ years building and operating AI-powered systems in production environments
    <br/>
   </li>
  </ul>
  <p>
   <br/>
  </p>
  <strong>
   Compensation and Benefits
  </strong>
  <ul>
   <li>
    &nbsp;Competitive monthly salary.&nbsp;
   </li>
   <li>
    Stock Option Plan.&nbsp;
   </li>
   <li>
    Health insurance for the employee, their spouse, and children.&nbsp;
   </li>
   <li>
    21 working days of annual vacation.&nbsp;
   </li>
   <li>
    Rewaa is a fast-growing company with great opportunities to develop
    <br/>
   </li>
  </ul>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <strong>
   Alert for Candidates
   <p>
    <br/>
   </p>
   <p>
    <span>
     Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa&rsquo;s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.
    </span>
   </p>
   <p>
    <br/>
   </p>
   <p>
    &nbsp;
    <strong>
     تنبية للمتقدمين
     <p>
      <span>
       تؤكد شركة رِواء وشركاتها التابعة على أنها لا تجري أي مقابلات عمل عبر البريد الإلكتروني أو الرسائل النصية، ولن تطلب أي مبالغ مادية كشرط للتقديم أو لتلقي عرض عمل على أي وظيفة. التقديم على وظائف شركة رواء يتم فقط عبر القنوات الرسمية للشركة، ونحذر من مشاركة معلوماتك الشخصية (مثل الاسم، العنوان، تاريخ الميلاد، والهوية الوطنية، وغيرها) مع أي طرف خارجي.
      </span>
     </p>
     <p>
      <br/>
     </p>
     <p>
      <strong>
       Notice to External Recruiters and Staffing Agencies
       <p>
        <br/>
       </p>
       <p>
        <span>
         Rewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.
        </span>
       </p>
       <p>
        <br/>
       </p>
       <p>
        &nbsp;
        <strong>
         إشعار للمستقطبين الخارجيين ووكالات التوظيف
         <p>
          <span>
           تؤكد شركة رِواء أنها لا تقبل أي سيرة ذاتية من المستقطبين الخارجيين أو وكالات التوظيف إلا إذا كانت بموجب عقد مبرم وموقع بين الطرفين. أي سيرة ذاتية تُقدم إلى قاعدة بياناتنا، أو تُرسل مباشرةً إلى مسؤولي التوظيف في شركة رِواء، أو تُرسل عبر أي وسيلة أخرى دون عقد مسبق، ستُعتبر خدمة مجانية، ولن يتم دفع أي رسوم توظيف في حال تعيين المرشح. تُدفع الرسوم فقط إذا تم طلب السيرة الذاتية من قِبَل مسؤولي التوظيف لدى شركة رِواء بموجب العقد.
          </span>
         </p>
         <p>
          <br/>
         </p>
         <p>
          <br/>
         </p>
         <br/>
         <p>
          We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
         </p>
        </strong>
       </p>
      </strong>
     </p>
    </strong>
   </p>
  </strong>
 </p>
</div>


Staff AI Engineer

Gartner

<div><p><b>About Gartner IT:
</b></p><p>Join a world-class team of skilled IT Operation Support Professionals who build the first line of attack for our associates for any of their IT related Support requests or issues and at the same time act as the first line of defense for tier 3 Technical Teams to give them cover for consequences resulted from new upgrades and technology push in the IT environment. We make a broad organizational impact by delivering cutting-edge technology solutions that power our Associates to achieve our common goal with great efficiency and success. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
</p><p></p><div><p><b>About this role:
</b></p></div><div><p>Join our Agentic AI Applications team to build the next generation of Gartner&rsquo;s Sales and Service Delivery enablement tools. In this role, you will architect a sophisticated Agentic AI ecosystem designed to act as a force multiplier for our associates, moving beyond simple chatbots to create context-aware digital partners. You will drive the development of a comprehensive intelligent digital assistant capable of &quot;connecting the dots&quot; between client initiatives, value delivery, past engagements &amp; interactions, and our vast library of expert research. You will engineer solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent orchestration, secure intent recognition and efficient context handling&mdash;ensuring our Sales and Service teams have a powerful, intelligent interface to navigate critical business data and be more productive and effective in their client interaction preparation and follow up workflows.
</p></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>do:
</b></p></div><div><ul><li><p>Architect &amp; Build Agentic Systems: Design and implement scalable, multi-agent architectures that autonomously retrieve, synthesize , and act upon complex data sets&mdash;including client intelligence, strategic priorities, and historical engagement &amp; Interactions logs.
</p></li></ul></div><div><ul><li><p>Develop Advanced RAG Pipelines : Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence&mdash;spanning strategic client priorities, communication history, and value metrics&mdash;to ensure the AI possesses a holistic, real-time understanding of the client relationship.
</p></li></ul></div><div><ul><li><p>Orchestrate Complex Workflows : Build the logic that &quot;connects the dots&quot; across disparate systems, enabling the digital assistant to hand off tasks to specialized sub-agents or external APIs.
</p></li></ul></div><div><ul><li><p>Ensure Enterprise-Grade Reliability: Implement rigorous guardrails, security controls, and intent recognition layers to ensure the AI a cts safely and accurately when handling sensitive data.
</p></li></ul></div><div><ul><li><p>Scale from Concept to Production: Lead the technical evolution of AI capabilities from experimental POCs to robust, high-availability systems, ensuring the platform scales effortlessly to support thousands of global users.
</p></li></ul></div><div><ul><li><p>Optimize Performance &amp; Cost : Fine-tune LLM interactions and context window usage to balance latency, cost, and response quality, ensuring a seamless real-time experience for Sales and Service users.
</p></li></ul></div><div><ul><li><p>Collaborate &amp; Mentor: Partner closely with Product Managers and Data Scientists to translate high-level business requirements into technical roadmaps, while mentoring junior engineers in best practices for AI application development.
</p></li></ul></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>need:
</b></p></div><div><ul><li><p>4&ndash;7 years of professional software engineering experience, with a strong track record of shipping production-quality code.
</p></li></ul></div><div><ul><li><p>Deep proficiency in Python application development, including Fast API, asynchronous programming and performance optimization .
</p></li></ul></div><div><ul><li><p>Hands-on experience building AI applications using orchestration frameworks (specifically LangGraph or LangChain ) and implementing Retrieval-Augmented Generation (RAG) using Vector Databases.
</p></li></ul></div><div><ul><li><p>Strong experience designing and deploying scalable solutions on AWS (e.g., Lambda, ECS/EKS, API Gateway, DynamoDB) and a strong background in distributed systems, APIs, microservices, container orchestration etc.
</p></li></ul></div><div><ul><li><p>Working knowledge of modern frontend frameworks, particularly React, with the ability to understand how backend APIs drive the user interface and an ability to collaborate effectively with Product &amp; Design.
</p></li></ul></div><div><ul><li><p>Experience transitioning complex systems from &quot;Proof of Concept&quot; (POC) to high-availability production environments serving a large user base.
</p></li></ul></div><div><ul><li><p>Strong communication and collaboration skills to work effectively across time zones and global teams.
</p></li></ul></div><p></p><div><p><b>G </b><b>ood to have
</b></p></div><div><ul><li><p>LLM Tuning &amp; Evaluation: Experience with prompt engineering strategies, evaluating LLM performance (using frameworks like RAGAS or TruLens ), or fine-tuning open-source models (e.g., Llama).
</p></li></ul></div><div><ul><li><p>Infrastructure as Code: Familiarity with Terraform managing AWS infrastructure.
</p></li></ul></div><div><ul><li><p>DevOps Practices: Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and containerization (Docker/Kubernetes).
</p></li></ul></div><div><ul><li><p>Domain Knowledge: Understanding of CRM ecosystems (like Salesforce) or prior experience building tools for Sales or Customer Service teams.
</p></li></ul></div><div><p><b>Who you are
</b></p></div><div><ul><li><p>Effective time management skills and ability to meet deadlines.
</p></li></ul></div><div><ul><li><p>Excellent communication skills for interacting with both technical and business audiences.
</p></li></ul></div><div><ul><li><p>Strong organization, multitasking, and prioritization abilities.
</p></li></ul></div><div><ul><li><p>Willingness and aptitude to embrace new technologies and rapidly master new concepts.
</p></li></ul></div><div><ul><li><p>Intellectual curiosity and passion for technology, with a drive to stay current with emerging trends.
</p></li></ul></div><div><ul><li><p>Commitment to delivering high-quality project work on time and within budget.
</p></li></ul></div><p></p><p><i>Don&rsquo;t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.
</i></p><p>#LI-PM2
</p><p><b>Who are we?
</b></p><p></p><p>At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
</p><p></p><p>Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.
</p><p></p><p>Since our founding in 1979, we&rsquo;ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That&rsquo;s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
</p><p></p><p><b>What makes Gartner a great place to work?
</b></p><p></p><p>Our vast, virtually untapped market potential offers limitless opportunities &ndash; opportunities that may not even exist right now &ndash; for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.
</p><p></p><p>We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
</p><p></p><p>Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
</p><p></p><p>We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
</p><p></p><p><b>What do we offer?
</b></p><p></p><p>Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
</p><p></p><p>In our hybrid work environment, we provide the flexibility and support for you to thrive &mdash; working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
</p><p></p><p>Ready to grow your career with Gartner? Join us.<br>
</p><p></p><p><br>
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.
</p><p></p><p>Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company&rsquo;s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com .
</p><p></p>Job Requisition ID:107717
<p></p><p>By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
</p><p></p><p>Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy<br>
</p><p><br>
<b>For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.</b></p></div>

Sr Software Engineer (4-7 yrs in Python & LangGraph/ LangChain required)

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