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azure ai (agentic) specialist - team lead Jobs in Lahore

azure ai agentic specialist team lead

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>

Architecture In Motion

<div>Job Title 
L3 Support Engineer &ndash; Agentic AI, Automation &amp; Reliability (Full‑Stack Support) 

Role Overview

As an L3 Support Engineer &ndash; Agentic AI, Automation &amp; Reliability, you will play a critical role in ensuring the stability, performance, and continuous improvement of AIM&rsquo;s cloud‑based and distributed systems. Operating as a senior escalation point, you will own high‑severity (P1/P2) production incidents end to end&mdash;driving rapid troubleshooting, remediation, root cause analysis, and long‑term prevention across applications, integrations, and cloud infrastructure.

This role goes beyond traditional support. You will actively design, operate, and improve AI‑driven and automated support workflows, including agent‑based ticket triage, LLM‑assisted diagnostics, and self‑healing runbooks. Working closely with global teams and North American stakeholders, you will combine deep technical expertise with strong communication skills to lead major incident bridges, produce clear RCAs, and mentor L1/L2 engineers in adopting automation‑first and AI‑assisted operating practices.

Location 
Remote (Pakistan)

Work Hours 
8:00 AM &ndash; 5:00 PM Eastern Time, with participation in a global on‑call rotation for critical incidents.

About AIM

AIM is a Canadian technology company that helps organizations modernize their systems through advanced API management, cloud engineering, security solutions, and full-stack software development. Our teams work across North America and globally, delivering stable, scalable, and secure digital platforms for enterprise clients.

We take pride in being hands-on, collaborative, and focused on delivering real results for our clients. As we grow, we are expanding our marketing team to strengthen our brand presence and support our next stage of growth.

Core Technical Skills
<ul>
<li>Strong troubleshooting skills across applications, infrastructure, and integrations, with ownership of P1/P2 incidents end‑to‑end (detection, mitigation, RCA, and prevention).</li>
<li>Solid understanding and practical application of ITIL processes (Incident, Problem, Change Management) in an ITSM tool such as Jira Service Management, ServiceNow, or ManageEngine.</li>
<li>Scripting and automation skills in at least one of: Python (preferred), PowerShell, or Bash, with examples of automating repetitive operational tasks (ticket handling, health checks, log analysis, etc.).</li>
<li>Experience working with APIs (REST, Graph API) and integrating systems and workflows using APIs and webhooks.</li>
<li>Working knowledge of a major cloud platform, preferably Microsoft Azure (compute, storage, networking, identity, monitoring/alerts). Experience with AWS or GCP is acceptable if you are willing to ramp up on Azure.</li>
</ul>
Agentic AI &amp; Automation Skills

Must‑Have
<ul>
<li>Practical experience designing, configuring, or operating AI‑driven or agent‑based workflows (e.g., autonomous ticket triage, virtual agents, or LLM‑assisted runbooks).</li>
<li>Understanding of prompt engineering basics, how AI agents call tools/APIs, and how context/memory is managed in such systems.</li>
<li>Awareness of AI risks (hallucinations, unsafe actions) and how to implement guardrails, human‑in‑the‑loop controls, and governance policies.</li>
</ul>
Nice‑to‑Have
<ul>
<li>Familiarity with Retrieval‑Augmented Generation (RAG), vector databases, semantic search, or multi‑agent orchestration frameworks.</li>
</ul>
Technology Stack (Exposure Expected)
<ul>
<li>Cloud: Microsoft Azure (preferred), and/or AWS/GCP.</li>
<li>ITSM: Jira Service Management (preferred), ManageEngine, ServiceNow, or similar.</li>
<li>Observability: Azure Monitor, Datadog, Splunk, Prometheus, or equivalent tools for logs, metrics, traces, and alerting.</li>
<li>Bonus: Knowledge of containers and orchestration (Docker, Kubernetes) is an asset but not mandatory.</li>
</ul>
Soft Skills &amp; Operating Expectations
<ul>
<li>Excellent written and verbal English communication, able to lead major incident bridges and produce clear incident reports and RCAs for North American stakeholders.</li>
<li>Strong ownership mindset; comfortable operating across L1/L2/L3 when needed, while driving automation and self‑healing to reduce manual workload.</li>
<li>Ability to mentor L1/L2 engineers in using AI‑driven tools and adopting automation‑first practices.</li>
<li>Comfortable working permanently 9&ndash;5 EST from Pakistan and participating in an on‑call rotation for after‑hours incidents as part of a global support model.</li>
</ul>
Minimum Experience
<ul>
<li>5&ndash;8 years in Production Support, Support Engineering, or Site Reliability Engineering, including at least 3 years handling L2/L3 escalations in cloud or distributed systems.</li>
<li>Proven experience working with international customers (North America or Europe) and operating in shift‑based or evening/night schedules.</li>
<li>Hands‑on experience in environments where AI‑driven or automated workflows are used for support, operations, or reliability.</li>
</ul>
Preferred Qualifications
<ul>
<li>Certifications in ITIL, Azure/AWS/GCP, or AI/ML disciplines.</li>
<li>Experience in managed services or SaaS environments with multi‑tenant architectures.</li>
<li>Familiarity with compliance and security frameworks such as SOC 2 and ISO 27001.</li></ul></div>

L3 Support Engineer (Full Stack Support)

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

CodeNinja Inc.

<div>
 
 About The Company
 
 
 
 CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan's fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
 
 
 
 About The Role
 
 
 
 We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS &mdash; from pre-sales architecture through production deployment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS
 </li>
 <li>
 Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge
 </li>
 <li>
 Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs
 </li>
 <li>
 Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams
 </li>
 <li>
 Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices
 </li>
 <li>
 Serve as primary technical point of contact for clients during active engagements
 </li>
 <li>
 Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS
 </li>
 <li>
 Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway
 </li>
 <li>
 Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures
 </li>
 <li>
 Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS
 </li>
 <li>
 Proven background in the AWS partner ecosystem &mdash; prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm
 </li>
 <li>
 Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders
 </li>
 <li>
 Experience leading distributed engineering teams through full delivery lifecycles on AWS
 </li>
 <li>
 Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails
 </li>
 <li>
 Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness
 </li>
 <li>
 Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment
 </li>
 <li>
 Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns
 
 
 </li>
 </ul>
 
 Disclaimer:
 
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund (PF): 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after 12 months of confirmation
 </li>
 <li>
 Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 Performance-Based Increment
 </li>
 <li>
 32 Paid Leaves (Annual)
 </li>
 <li>
 Easy Loan Facility
 </li>
 <li>
 Company-Sponsored Trips
 </li>
 <li>
 Gym Passport Membership (Access To 250+ Gyms)
 </li>
 </ul>
</div>

AWS AI/ML Practice Lead

CodeNinja

<div>About the Company 
CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan&rsquo;s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
About The Role
We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS &mdash; from pre-sales architecture through production deployment.
Key Responsibilities<ul><li>
Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS</li><li>
Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge</li><li>
Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs</li><li>
Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams</li><li>
Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices</li><li>
Serve as primary technical point of contact for clients during active engagements</li><li>
Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS</li><li>
Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices.</li></ul> 

Requirements 
<ul><li>
Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway</li><li>
Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures</li><li>
Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis</li><li>
Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS</li><li>
Proven background in the AWS partner ecosystem &mdash; prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm</li><li>
Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders</li><li>
Experience leading distributed engineering teams through full delivery lifecycles on AWS</li><li>
Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)</li></ul>
Why Join Us<ul><li>
Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.</li><li>
Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.</li><li>
Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.</li><li>
Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.</li></ul> 
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role 
Benefits 
<ul><li>
Provident Fund (PF): 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after 12 months of confirmation.</li></ul><ul><li>
Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.</li><li>
Life Insurance</li><li>
Performance-Based Increment</li><li>
32 Paid Leaves (Annual)</li><li>
Easy Loan Facility</li><li>
Company-Sponsored Trips</li><li>
Gym Passport Membership (Access To 250+ Gyms)</li></ul></div>

Cloudelligent

<div>Cloudelligent is looking for competent candidates for the position of Service Desk Engineer (L1) 
 
Position Title: Service Desk Engineer 
Location: Lahore 
 
About Cloudelligent 
 
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. 
 
Responsibilities<ul><li>
Perform Level 1 diagnosis and resolution of incidents / requests raised by end users.</li><li>
Responsible for supporting the IT Help Desk Services organization to ensure services are delivered to meet customer business needs and expectations, within SLA standards</li><li>
Act as a contact point between Helpdesk Operations and Other external and internal teams.</li><li>
Escalate issues to relevant teams based on SOP &amp; Escalation matrix</li><li>
Provide Incident Response (IR) support when analysis confirms actionable incident</li><li>
Perform incident closure, verifying problem resolution with Users and documenting resolution procedures</li><li>
Monitor and escalate service failure alerts and follow up with relevant teams to fix these with minimal impact.</li><li>
IT Support relating to technical issues involving Microsoft/AWS core business applications and operating systems</li><li>
Troubleshoot software, hardware, and network issues.</li><li>
Guide end-users on how to setup and use new technologies.</li><li>
Perform vendor management for procurement and support (Cloudelligent/Clients).</li><li>
Assist Cloud team with migration and supporting infrastructure on Azure/AWS.</li><li>
Backup and restore the organization's data files and systems.</li><li>
Install, configure, and upgrade PC software and operating systems.</li><li>
Manage inventory and track IT assets used by the organization.</li><li>
Author, edit, and manage IT documentation to improve our clients' IT policy, procedures, and protocols.</li><li>
Manage the helpdesk collaboratively for optimal performance and support by resolving incidents in a timely manner.</li><li>
Prepare and present weekly updates.</li><li>
Participate in IT projects.</li></ul>
Requirements<ul><li>
Bachelor's degree in information technology, computer science or related field.</li><li>
2+ years of experience providing customer-focused technical support.</li><li>
Exceptional verbal, written, and interpersonal communication skills.</li><li>
Hands on experience with service desk ticketing systems, email, online chat, service support process, and SLA.</li><li>
Strong interest in IT support, technical troubleshooting, and cloud technologies.</li><li>
Basic understanding of IT methodologies and service desk operations.</li><li>
Hands-on experience with Windows operating systems and Microsoft Office tools (e.g., Office 365). Knowledge of ticketing tools (e.g., Zendesk, Jira) is a plus.</li><li>
Knowledge of cloud platforms (AWS or Azure) is a plus.</li><li>
Should be able to work in 24/7 environments.</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li><li>
AWS Cloud Practitioner certification is highly preferred.</li></ul>
JBTLuj7U3D</div>

Service Desk Engineer

Explore 2147+ Azure ai agentic specialist team lead in Lahore this May. Find roles across top companies and apply now to boost your career.

2147 azure ai agentic specialist team lead jobs In Lahore

Azure AI (Agentic) Specialist - Team Lead

Azure AI (Agentic) Specialist - Team Lead

L3 Support Engineer (Full Stack Support)

AI Security Architect

AWS AI/ML Practice Lead

AWS AI/ML Practice Lead

Service Desk Engineer