creative designer

it support engineer

sap ariba consultant

ai architect

ai engineer (in-house)

solutions architect

aQovia

<div><h5 class="jobSectionHeader">The Bridge Between Visionary Tech and Business Impact</h5>
Aqovia isn&rsquo;t just another digital transformation consultancy. We are a UK-based innovation powerhouse at the intersection of AI, bespoke software, and strategic investment. We don't just deliver services, we nurture a global portfolio across all industries, including, financial services, government, energy, sustainability and a whole lot more.
We are looking for a Pre-Sales Solutions Architect who thrives in the &quot;Grey Space&quot;, the gap between a client&rsquo;s ambiguous problem and a robust, multi-million-pound technical solution.<h5 class="jobSectionHeader">
The Role: Architecting the Future</h5>
This is a high-impact, senior consultative role. You will be the technical face of Aqovia during the most critical stage of the lifecycle, the Bid.<ul><li>
Lead Discovery: Run high-energy workshops to uncover pain points and translate them into architectural options.</li><li>
Win the Bid: Own the technical narrative for RFIs/RFPs (typically &pound;1M+ scale), balancing technical excellence with commercial reality.</li><li>
Bridge the Gap: Ensure the &quot;Vision&quot; sold to the client is technically feasible for our engineering squads.</li><li>
Act as Trusted Advisor: Consult with C-suite stakeholders and lead digital transformation roadmaps.</li></ul><h5 class="jobSectionHeader">
What You&rsquo;ll Bring to the Table</h5>
We are looking for a heavy-hitter who can speak &quot;Business&quot; and &quot;Technology&quot; with equal fluency.<ul><li>
The Experience: Proven track record leading enterprise-scale bids (&pound;1M+) or managing large engineering teams (20+).</li><li>
The Technical Core: Deep roots in the .NET ecosystem, Microservices, and Containerization.</li><li>
The Cloud Edge: Mastery in designing secure, scalable, and cost-effective Azure solutions.</li><li>
The Consultant&rsquo;s Mindset: Experience in professional services or consultancy, with the ability to navigate C-suite expectations.</li><li>
The Communicator: Exceptional English business communication skills; you can make complex architecture sound simple.</li></ul><h5 class="jobSectionHeader">
Why Join Aqovia?</h5><ul><li>
Direct Impact: Support the Group CEO and regional country managers in driving initiatives across emerging markets.</li><li>
Global Exposure: Work across multiple countries and cultures in a dynamic, forward-thinking environment.</li><li>
Career Velocity: Rapid exposure to executive strategy and cross-regional operations.</li><li>
Hybrid Flexibility: Based in Lahore with the autonomy of a remote/hybrid setup.</li></ul><h5 class="jobSectionHeader">
Ready to Shape the Future?</h5>
If you are a strategic thinker who loves the thrill of a winning bid and the precision of a perfect architecture, we want to hear from you.<h5 class="jobSectionHeader">
Diversity &amp; Inclusion</h5>
Aqovia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Pre-Sales Solutions Architect

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

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>

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

Senior AI/ML Engineer

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 618+ Solutions architect in Lahore this May. Find roles across top companies and apply now to boost your career.

618 solutions architect jobs In Lahore

Pre-Sales Solutions Architect

AI Solution Architect

AWS AI/ML Practice Lead

AWS AI/ML Practice Lead

Senior AI/ML Engineer

Azure AI (Agentic) Specialist - Team Lead

Azure AI (Agentic) Specialist - Team Lead