graphic designer

ui/ux designer

creative designer

ai engineer

data architect

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>

AI Architect

The Ghani IT Solutions

Role Overview:We are seeking a Senior AI Engineer to architect and build a high-performance, custom Voice AI infrastructure. This role focuses on developing an end-to-end real-time audio processing pipeline and an intelligent NLP engine capable of synthesizing complex regulatory data into actionable insights with sub-second latency.Key Responsibilities:- Custom Voice Infrastructure: Develop a proprietary, low-latency audio pipeline integrating Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS).- Intelligent Data Parsing: Architect agentic workflows to ingest complex documentation and translate technical/legal jargon into plain-language summaries.- Real-time Audio Streaming: Manage full-duplex audio transmission using WebSockets and WebRTC to achieve human-like conversational responsiveness.- Automated Information Retrieval: Build scalable scrapers and API consumers to monitor high-frequency data sources and public registries for real-time updates.- Advanced RAG Systems: Implement sophisticated Retrieval-Augmented Generation (RAG) using Vector Databases to provide the AI with deep contextual awareness.Technical Requirements:- Programming: Expert-level Python; experience with asynchronous programming and high-concurrency systems.- NLP &amp; AI: Proven experience with LangChain, LlamaIndex, and fine-tuning open-source LLMs.- Speech Processing: Experience with real-time transcription (STT) and neural speech synthesis (TTS) engines.- Data Systems: Proficiency with Vector DBs (e.g., Pinecone, Milvus) and SQL/NoSQL databases.- Protocols: Strong understanding of WebSockets, WebRTC, and real-time data streaming.Location: DHA Phase 6, KarachiShift: MorningWork Location: In person

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Data Architect</h2>
Experience: 9+ Years 
Industry: Banking / Financial Services 
Location:Pakistan 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking an experienced Data Architect with a strong background in AI/ML and Big Data architectures to design, implement, and govern enterprise-wide data solutions. The ideal candidate will play a critical role in enabling data-driven decision-making, advanced analytics, and AI capabilities within a banking environment while ensuring compliance with regulatory and security standards.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and implement enterprise data architecture across traditional systems, Big Data platforms, and cloud ecosystems.</li><li>
Architect scalable data lakes, data warehouses, and lakehouse solutions supporting structured and unstructured data.</li><li>
Define and manage data models, metadata frameworks, and data integration patterns for enterprise-wide use.</li><li>
Build and optimize data pipelines for batch and real-time processing using technologies like Hadoop, Spark, and Kafka.</li><li>
Enable AI/ML use cases by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow.</li><li>
Lead cloud data architecture initiatives across AWS, Azure, and GCP, ensuring high availability, scalability, and cost efficiency.</li><li>
Implement and enforce data governance, data quality, and data security frameworks using tools such as Collibra, Alation, and Apache Atlas.</li><li>
Collaborate with cross-functional teams including data engineers, data scientists, business analysts, and IT teams.</li><li>
Design and oversee ETL/ELT processes using tools like Informatica, Talend, and dbt.</li><li>
Utilize orchestration frameworks such as Apache Airflow to automate and monitor workflows.</li><li>
Ensure compliance with banking regulations, data privacy laws, and security standards.</li><li>
Evaluate and recommend emerging technologies to enhance the organization&rsquo;s data capabilities.</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Science, or related field.</li><li>
9+ years of experience in data architecture, data engineering, or related roles, preferably in the banking or financial services industry.</li><li>
Strong expertise in Big Data technologies: Hadoop, Spark, Kafka.</li><li>
Hands-on experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Proficiency in data modeling (conceptual, logical, physical) and database design.</li><li>
Experience with data warehousing and lakehouse architectures (Snowflake, Databricks).</li><li>
Strong understanding of AI/ML data pipelines and frameworks (Python, TensorFlow, PyTorch).</li><li>
Expertise in ETL/ELT tools and data pipeline orchestration.</li><li>
Knowledge of data governance, metadata management, and data quality frameworks.</li><li>
Familiarity with banking data domains (risk, compliance, fraud, customer analytics).</li><li>
Excellent problem-solving, communication, and stakeholder management skills.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Certifications in Cloud Platforms (AWS/Azure/GCP) or Data Architecture.</li><li>
Experience with real-time streaming architectures.</li><li>
Knowledge of regulatory frameworks such as Basel III, GDPR, or local banking compliance standards.</li><li>
Exposure to Data Mesh or Data Fabric architectures.</li><li>
Experience with API-based data integration and microservices architecture.</li></ul><h2 class="jobSectionHeader">
Key Competencies</h2><ul><li>
Strategic Thinking</li><li>
Data Governance &amp; Compliance</li><li>
Solution Architecture</li><li>
Stakeholder Management</li><li>
Innovation &amp; Continuous Improvement</li></ul>
Vxk31DGthf</div>

Data Architect

Datamatics Technologies

<div>
 
 Job Title: Data Architect
 
 
 
 Experience:
 
 9+ Years
 
 
 Industry:
 
 Banking / Financial Services
 
 
 Location:Pakistan
 
 
 
 Employment Type:
 
 Full-Time
 
 
 Job Summary
 
 
 We are seeking an experienced
 
 Data Architect
 
 with a strong background in
 
 AI/ML and Big Data architectures
 
 to design, implement, and govern enterprise-wide data solutions. The ideal candidate will play a critical role in enabling data-driven decision-making, advanced analytics, and AI capabilities within a banking environment while ensuring compliance with regulatory and security standards.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design and implement
 
 enterprise data architecture
 
 across traditional systems, Big Data platforms, and cloud ecosystems
 </li>
 <li>
 Architect scalable
 
 data lakes, data warehouses, and lakehouse solutions
 
 supporting structured and unstructured data
 </li>
 <li>
 Define and manage
 
 data models, metadata frameworks, and data integration patterns
 
 for enterprise-wide use
 </li>
 <li>
 Build and optimize
 
 data pipelines
 
 for batch and real-time processing using technologies like Hadoop, Spark, and Kafka
 </li>
 <li>
 Enable
 
 AI/ML use cases
 
 by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow
 </li>
 <li>
 Lead cloud data architecture initiatives across
 
 AWS, Azure, and GCP
 
 , ensuring high availability, scalability, and cost efficiency
 </li>
 <li>
 Implement and enforce
 
 data governance, data quality, and data security frameworks
 
 using tools such as Collibra, Alation, and Apache Atlas
 </li>
 <li>
 Collaborate with cross-functional teams including
 
 data engineers, data scientists, business analysts, and IT teams
 
 </li>
 <li>
 Design and oversee
 
 ETL/ELT processes
 
 using tools like Informatica, Talend, and dbt
 </li>
 <li>
 Utilize orchestration frameworks such as
 
 Apache Airflow
 
 to automate and monitor workflows
 </li>
 <li>
 Ensure compliance with
 
 banking regulations, data privacy laws, and security standards
 
 </li>
 <li>
 Evaluate and recommend emerging technologies to enhance the organization&rsquo;s data capabilities
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Information Systems, Data Science, or related field
 
 </li>
 <li>
 9+ years of experience in
 
 data architecture, data engineering, or related roles
 
 , preferably in the banking or financial services industry
 </li>
 <li>
 Strong expertise in
 
 Big Data technologies
 
 : Hadoop, Spark, Kafka
 </li>
 <li>
 Hands-on experience with
 
 cloud platforms
 
 : AWS, Microsoft Azure, or Google Cloud Platform
 </li>
 <li>
 Proficiency in
 
 data modeling (conceptual, logical, physical)
 
 and database design
 </li>
 <li>
 Experience with
 
 data warehousing and lakehouse architectures
 
 (Snowflake, Databricks)
 </li>
 <li>
 Strong understanding of
 
 AI/ML data pipelines and frameworks
 
 (Python, TensorFlow, PyTorch)
 </li>
 <li>
 Expertise in
 
 ETL/ELT tools
 
 and data pipeline orchestration
 </li>
 <li>
 Knowledge of
 
 data governance, metadata management, and data quality frameworks
 
 </li>
 <li>
 Familiarity with
 
 banking data domains
 
 (risk, compliance, fraud, customer analytics)
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Certifications in
 
 Cloud Platforms (AWS/Azure/GCP)
 
 or
 
 Data Architecture
 
 </li>
 <li>
 Experience with
 
 real-time streaming architectures
 
 </li>
 <li>
 Knowledge of
 
 regulatory frameworks
 
 such as Basel III, GDPR, or local banking compliance standards
 </li>
 <li>
 Exposure to
 
 Data Mesh or Data Fabric architectures
 
 </li>
 <li>
 Experience with
 
 API-based data integration and microservices architecture
 
 </li>
 </ul>
 
 Key Competencies
 
 <ul>
 <li>
 Strategic Thinking
 </li>
 <li>
 Data Governance &amp; Compliance
 </li>
 <li>
 Solution Architecture
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Innovation &amp; Continuous Improvement
 </li>
 </ul>
</div>

AppedologyPK Recruitment

Job SummaryWe are seeking an experienced and hands-on Development Manager who will report directly to the CIOand lead the design, development, delivery, and continuous improvement of our software platforms.This role requires a technically strong leader who is not only capable of managing and mentoring teams,but also has proven experience in architecting applications end-to-end.The ideal candidate must be able to take ownership of the complete software lifecycle, fromrequirement analysis, solution design, system architecture, database design, API strategy, developmentplanning, cloud infrastructure, DevOps pipelines, security, deployment, scalability, and post-productionsupport.This person will lead and mentor teams working in PHP, Python, and AI-based development, while alsocoordinating with clients and internal stakeholders to ensure successful delivery of robust, scalable,secure, and modern software solutions.Key ResponsibilitiesApplication Architecture &amp;amp; Technical Ownership Architect and design applications end-to-end, covering frontend, backend, database, APIs,infrastructure, integrations, security, and deployment strategy. Define the overall technical vision, solution architecture, and system design for new and existingproducts. Translate business and operational requirements into scalable technical solutions. Make key decisions on architecture patterns, technology stack, modularization, serviceboundaries, and deployment models. Ensure systems are designed for scalability, maintainability, security, performance, faulttolerance, and future extensibility. Create and review technical design documents, architecture diagrams, workflows, andintegration plans. Lead architectural discussions for monolithic, modular, service-oriented, and microservices-based applications where applicable. Ensure proper handling of authentication, authorization, logging, monitoring, error handling,caching, queueing, and third-party integrations.Hands-On Development Leadership Remain actively involved in coding, troubleshooting, code reviews, technical design, andproblem resolution. Support the team in resolving complex technical issues across application, database, server, andcloud layers. Review pull requests and enforce high coding standards, performance standards, and securitybest practices. Guide developers on clean architecture, reusable code, maintainable development practices,and technical documentation. Take ownership of critical modules or high-priority technical tasks when needed.Team Management &amp;amp; Mentorship Manage and mentor a team of PHP, Python, and AI developers. Provide technical guidance, task planning, design direction, and career mentorship todevelopers across experience levels. Build strong engineering discipline around code quality, structured development, estimation,testing, and release management. Conduct regular technical reviews, one-on-ones, knowledge-sharing sessions, and performancediscussions. Help team members improve in architecture thinking, debugging, delivery discipline, andmodern engineering practices.Modern Development Tools &amp;amp; Engineering Practices Drive adoption of modern software engineering tools, frameworks, and workflows. Ensure the team effectively uses:o Git and branch management strategieso CI/CD pipelineso Docker and containerized development/deploymento API documentation toolso Code quality and static analysis toolso Automated testing frameworkso Monitoring, logging, and alerting toolso Secure coding and dependency management practiceso Agile delivery tools and sprint workflowso AI-assisted development tools where appropriate Continuously evaluate and introduce tools and practices that improve productivity, quality, anddeployment reliability.DevOps, Cloud &amp;amp; Infrastructure Lead or closely oversee DevOps processes and deployment pipelines across development,staging, and production environments. Work with cloud-based infrastructure and deployment strategies on:o Microsoft Azureo Amazon Web Services (AWS)o Google Cloud Platform (GCP) Design and support infrastructure decisions related to hosting, scaling, networking, loadbalancing, storage, backups, monitoring, and disaster recovery. Ensure strong environment management, release control, rollback planning, and uptime-focused deployment practices. Support infrastructure automation, server provisioning, environment consistency, and cloudcost-conscious architecture. Collaborate on container orchestration, serverless options, background job processing, andhigh-availability design where needed.AI &amp;amp; Advanced Technical Capability Support and mentor teams developing AI-enabled, automation-driven, and data-assistedapplications. Understand practical implementation of AI solutions including:o API-based AI integrationso LLM-based workflowso automation pipelineso document processingo intelligent search / retrieval systemso model integration into business applications Help define architecture for AI-powered systems with attention to cost, speed, reliability,observability, and security.Database, Integration &amp;amp; System Design Design and review relational and non-relational database structures for performance and long-term maintainability. Guide best practices in:o schema designo indexingo query optimizationo transactionso replication / backup conceptso data integrity Architect secure and well-structured internal and external APIs. Oversee third-party integrations including payment gateways, CRMs, ERPs, cloud services,authentication providers, messaging platforms, and external data sources. Ensure system interoperability, proper API versioning, and integration reliability.Client &amp;amp; Stakeholder Coordination Communicate directly with clients, business teams, and leadership to understand requirementsand convert them into technical execution plans. Participate in client meetings for requirement gathering, technical discussions, progress reviews,risk communication, and solution presentation. Provide technical effort estimates, scope evaluations, dependency mapping, and deliveryplanning. Coordinate between product, business, QA, infrastructure, and development teams to ensuresmooth execution. Present solutions in a clear business-friendly and technically accurate manner.Strategic &amp;amp; Organizational Contribution Work directly with the CIO on engineering roadmap, delivery strategy, architecture standards,technology planning, and team growth. Help define engineering processes, governance standards, security practices, and developmentlifecycle improvements. Identify technical risks early and propose practical mitigation strategies. Contribute to hiring decisions, technical interviews, team structuring, and capability building.Required Technical Skills &amp;amp; Experience Proven experience in a senior technical leadership role such as Development Manager,Technical Lead, Solution Architect, Engineering Manager, or similar. Strong hands-on software development experience in PHP and Python. Demonstrated experience in architecting applications end-to-end, from planning to deploymentand production support. Strong understanding of:o software architectureo application design patternso layered architectureo modular designo service-oriented architectureo microservices conceptso event-driven patterns where applicable Strong experience in designing and building:o web applicationso backend systemso REST APIso integrationso database-driven platformso enterprise-grade business applications Strong knowledge of SQL databases such as MySQL, PostgreSQL, SQL Server, or equivalent. Experience with caching, queues, background jobs, schedulers, and asynchronous processing. Strong understanding of authentication and authorization mechanisms such as OAuth, JWT,SSO, RBAC, and secure session handling. Experience with version control, Git workflows, release management, and team-baseddevelopment practices. Practical experience with CI/CD, build pipelines, deployment automation, and production issuemanagement. Experience with Docker, containerized deployments, and environment standardization. Strong exposure to Azure, AWS, and GCP services and cloud-hosted application deploymentmodels. Good understanding of:o networking basicso SSLo DNSo CDN usageo storage serviceso monitoringo log analysiso application performance tuning Knowledge of application security best practices including secure coding, secrets management,access control, dependency risk management, and common web vulnerabilities. Familiarity with test strategies including unit testing, integration testing, regression testing, andQA collaboration. Experience working with AI/ML-integrated applications, automation systems, or modernintelligent workflows. Strong debugging, root-cause analysis, and system troubleshooting capabilities.Preferred Technical Exposure Experience with Laravel, Django, FastAPI, Flask, or similar frameworks. Exposure to frontend technologies and full-stack architecture understanding. Experience with Redis, RabbitMQ, Kafka, ElasticSearch, or similar supporting technologies. Experience with Kubernetes, serverless architecture, or infrastructure-as-code tools is a plus. Familiarity with observability tools, APM tools, and centralized logging systems. Exposure to multi-tenant applications, enterprise workflows, or regulated-domain software is anadvantage. Experience with AI frameworks, vector databases, LLM orchestration, or intelligent automationplatforms is a plus.Leadership &amp;amp; Business Skills Strong team leadership and mentoring ability. Ability to guide developers across backend, AI, and platform engineering areas. Strong communication and documentation skills. Excellent client-facing ability with confidence in technical and business discussions. Strong project ownership and delivery mindset. Ability to prioritize, delegate, and manage multiple streams of work. Strong decision-making ability with both strategic and practical thinking.Personal Attributes Hands-on and technically strong Architect-level problem solver Delivery-focused and quality-conscious Calm under pressure and able to manage technical complexity Proactive, responsible, and organized Strong ownership mindset Committed to continuous learning and staying current with latest tools and technologiesRole ExpectationThis is not a purely managerial role. The Development Manager is expected to be a technical leader,solution architect, mentor, and delivery owner who can guide teams while also contributing directlywhere needed. The person should be comfortable owning systems from concept to production andensuring that engineering output aligns with business goals and technical excellence.Work Location: In person

SOFTWARE DEVELOPMENT MANAGER

NorthBay Solutions

<div>
 
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 
 About the Role:
 
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber&nbsp;
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and deploy
 
 LLM-powered applications
 
 using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop
 
 Agentic AI systems
 
 leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement
 
 custom Document Intelligence models
 
 for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect
 
 multi-tenant AI deployments
 
 with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage
 
 Knowledge Graphs
 
 for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced
 
 prompt engineering techniques
 
 (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use
 
 Prompt Flow in Azure AI Studio
 
 for experimentation, testing, and versioning
 </li>
 <li>
 Design
 
 intelligent conversational systems
 
 with fallback handling and contextual memory
 </li>
 <li>
 Build and manage
 
 MLOps pipelines
 
 using Azure Machine Learning
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on&nbsp;
 
 Azure OpenAI API
 
 (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building
 
 RAG pipelines using Azure AI Search
 
 </li>
 <li>
 Experience with
 
 vector databases and hybrid search architectures
 
 </li>
 <li>
 Practical experience in
 
 Agentic AI / multi-agent systems
 
 </li>
 <li>
 Hands-on with
 
 Azure AI Document Intelligence (Form Recognizer)
 
 </li>
 <li>
 Solid understanding of
 
 Knowledge Graphs and semantic modeling
 
 </li>
 <li>
 Expertise in
 
 prompt engineering &amp; LLM optimization techniques
 
 </li>
 <li>
 Experience with
 
 Prompt Flow (Azure AI Studio)
 
 </li>
 <li>
 Strong background in
 
 Python and cloud-native development
 
 </li>
 <li>
 Experience with
 
 Azure ML / MLOps pipelines
 
 </li>
 <li>
 Ability to design scalable and secure
 
 enterprise AI architectures
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 LangChain, Semantic Kernel, or similar frameworks
 
 </li>
 <li>
 Exposure to
 
 multi-agent orchestration tools
 
 </li>
 <li>
 Prior experience working with
 
 enterprise clients or large-scale AI deployments
 
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Explore 203+ Ai architect in Karachi this April. Find roles across top companies and apply now to boost your career.

203 ai architect jobs In Karachi

AI Architect

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Data Architect

Data Architect

SOFTWARE DEVELOPMENT MANAGER

Azure AI (Agentic) Specialist - Team Lead

Azure AI (Agentic) Specialist - Team Lead