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ai architect

Datamatics Technologies

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

AI Architect

Confiz

<div>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.
Key Responsibilities
<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>
Required Qualifications
<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>
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.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

Systems Limited

<div>
 
 
 About the Role
 
 
 
 We are looking for an AI Security Architect to design and establish the Enterprise AI Security Reference Architecture. This role will ensure that all GenAI and Agentic AI platforms are secure, compliant, and aligned with enterprise governance standards across the AI lifecycle.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Define and publish the Enterprise AI Security Reference Architecture as the standard for secure AI design
 </li>
 <li>
 Identify trust boundaries, threat surfaces, and control points across the AI ecosystem
 </li>
 <li>
 Design security controls for AI models, RAG pipelines, agent frameworks, vector databases, and LLM APIs
 </li>
 <li>
 Align AI security architecture with ISO/IEC 42001 and identify gaps with remediation plans
 </li>
 <li>
 Design Agent Identity &amp; Access Management (IAM) frameworks for secure agent operations
 </li>
 <li>
 Establish secure lifecycle management for AI agents including provisioning, monitoring, and decommissioning
 </li>
 <li>
 Develop AI risk classification models and mitigation strategies
 </li>
 <li>
 Define security standards for LLM integrations, prompt management, and AI services
 </li>
 <li>
 Conduct architectural security reviews for AI solutions and platforms
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure secure deployments
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 10+ years of experience in Cybersecurity Architecture or Enterprise Security
 </li>
 <li>
 Strong experience with GenAI platforms, LLM architecture, RAG pipelines, and agentic AI security
 </li>
 <li>
 Hands-on experience with Azure OpenAI, AWS Bedrock, vector databases, and API security
 </li>
 <li>
 Knowledge of OWASP Top 10 for LLM applications and AI-specific threat vectors
 </li>
 <li>
 Experience in designing security for cloud-native AI platforms
 </li>
 <li>
 Strong understanding of identity management, cryptography, and data protection
 </li>
 <li>
 Experience working in regulated industries such as financial services, healthcare, or legal
 </li>
 <li>
 Strong problem-solving, stakeholder management, and communication skills
 </li>
 </ul>
 
 Location: Khi/ Lhr/ Isb
 
</div>

AI Security Architect

Vizzwebsolutions Pvt Ltd

Role OverviewWe are seeking a highly qualified Principal AI Engineer to own and architect our core intelligence and AI processing pipelines. You will be the technical authority on how we integrate, scale, and optimize artificial intelligence across our entire platform.This is not a prompt-jockey or wrapper-developer role. You will be responsible for architecting end-to-end, multi-modal solutions that push the boundaries of what is possible with applied AI. You will design agentic workflows, build complex user profiling systems to dynamically augment LLM context windows, and create proprietary intelligence layers that serve as competitive moat.Key Responsibilities● End-to-End AI Architecture: Design, build, and deploy production-grade AI systems, moving from idea inception to scalable AWS infrastructure. Bridge the gap between AI research and highly reliable software engineering.● Agentic &amp; Multi-Modal AI: Architect and implement autonomous, multi-agent systems that can reason, plan, use tools, and execute complex workflows across text, image, and data modalities.● Custom Intelligence &amp; Deep Context: Build sophisticated user profiling mechanisms and advanced RAG (Retrieval-Augmented Generation) pipelines to dynamically inject hyper-personalized context into foundational models.● Advanced Prompt Engineering &amp; Optimization: Lead the organization instate-of-the-art prompt design, few-shot prompting, chain-of-thought reasoning, and structured output generation.● Cost &amp; Performance Optimization: Implement intelligent model routing, caching strategies, and token management to ruthlessly optimize inference costs, system latency,and overall API expenditure.● Developer Productivity &amp; Platform AI: Build internal tools, CI/CD pipelines for AI(LLMOps), and automated evaluation frameworks to accelerate the development lifecycle and empower the broader engineering team to safely leverage AI.● Cross-Functional Leadership: Serve as the technical visionary for AI , mentoring full-stack and front-end developers, and partnering with product leadership to identify novel ways AI can solve business problems.Ideal Qualifications &amp; Skills● Experience: 8-10+ years of software engineering experience, with at least 3-5 years explicitly focused on applied Machine Learning, NLP, or Generative AI in production environments.● Core Stack: Expert-level proficiency in Python and Node.js/TypeScript.● AI &amp; LLM Ecosystem: Deep hands-on experience with modern AI orchestration frameworks and integrating with frontier models (OpenAI, Anthropic, open-source equivalents).● Data &amp; Retrieval: Strong expertise in vector databases, embedding strategies, semantic search, and knowledge graph integration.● Cloud &amp; Infrastructure: Proven track record of designing scalable, distributed systems on AWS. Experience with containerization and serverless architectures.● LLMOps &amp; Evaluation: Experience building evaluation pipelines to measure AI accuracy, hallucination rates, and performance. Familiarity with AI observability and monitoring tools.● Vision: A passion for building novel AI solutions and a pragmatic approach to balancing cutting-edge research with maintainable, production-ready code.<ul><li>We Offer:</li><li>Competitive salary package.</li><li>Friendly and collaborative work environment.</li><li>Growth and learning opportunities in a dynamic IT company.</li><li>Job Type: Full-time</li><li>Performance Bonus</li><li>Increments</li><li>Learning Environment</li><li>CC Fund</li><li>EOBI</li><li>Health Insurance</li></ul>For More Details, Contact Us:03115333221/0334-5522981https://www.vizzwebsolutions.com/Pay: Up to Rs300,000.00 per monthWork Location: In person

Principal AI Engineer

ImagineArt

<div><h1 class="jobSectionHeader">Principal AI Engineer (LLM Agents &amp; Orchestration)</h1> 
Role Title: Principal AI Engineer (LLM Agents &amp; Orchestration) Team: Chatly Engineering Focus: Building Autonomous &quot;Super Agents&quot;<h2 class="jobSectionHeader"> 
Who We Are</h2>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.<h3 class="jobSectionHeader">
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.</h3><h3 class="jobSectionHeader"> 

About the Role</h3>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</li><li>
Integration Ecosystem: Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</li><li>
Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</li><li>
Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</li><li>
Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</li><li>
Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.</li><li>
Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</li><li>
System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</li></ul>
Why Join Us?<ul><li>
Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.</li><li>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</li><li>
Competitive compensation and benefits.</li><li>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</li></ul></div>

Agentic AI Engineer

<div>
 
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 
 
 
 
 Role Title:
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 Team:
 
 Chatly Engineering
 
 Focus:
 
 Building Autonomous "Super Agents"
 
 
 
 Who We Are
 
 
 
 Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
 
 
 With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
 
 
 From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
 
 
 At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.
 
 
 If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.
 
 
 
 About The Role
 
 
 
 We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new "Super Agent" within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.
 </li>
 <li>
 Integration Ecosystem: Build the "hands" of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.
 </li>
 <li>
 Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).
 </li>
 <li>
 Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.
 </li>
 <li>
 Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).
 </li>
 <li>
 Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.
 </li>
 <li>
 Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.
 </li>
 <li>
 System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.
 </li>
 <li>
 Be part of a passionate, fast-moving team that values innovation and data-driven decisions.
 </li>
 <li>
 Competitive compensation and benefits.
 </li>
 <li>
 A culture where learning, growth, and experimenting with new ideas are deeply encouraged.
 </li>
 </ul>
</div>

Explore 947+ Ai architect in Pakistan this May. Find roles across top companies and apply now to boost your career.

947 ai architect jobs In Pakistan

AI Architect

AI Architect

AI Solution Architect

AI Security Architect

Principal AI Engineer

Agentic AI Engineer

Agentic AI Engineer