538 AI Solutions jobs in Pakistan

Job Description
Translation Empire PK is hiring an AI Solutions Architect to lead the end-to-end design and implementation of AI-powered systems. You will work closely with technical and business teams to ensure that AI strategies align with organizational goals and are successfully deployed at scale.

Key Responsibilities:

• Design scalable, reliable AI architectures and solutions.
• Define system requirements, interfaces, and integration plans.
• Provide technical leadership across AI projects.
• Guide data and ML engineering best practices.
• Review code and system designs for compliance and performance.

Qualification and Experience:

• Master’s degree in Computer Science, AI, or related discipline.
• 5+ years of experience in AI system design and architecture.
• Expertise in cloud-native AI solutions (AWS/GCP/Azure).
• Deep understanding of MLOps and deployment strategies.
• Excellent communication and stakeholder management skills.

Certification:
Cloud or AI-related certifications are preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Grand City is looking for an
AI Solutions Engineer
who can
analyze applications, evaluate features, and develop AI-powered tools
to drive smarter, data-driven business decisions.

This role is ideal for someone who loves both
analyzing and building
— using AI/ML not only to interpret data but also to
create applications, automation, and intelligent solutions
that impact the organization.

Key Responsibilities

• Analyze applications, digital features, and user behavior using AI/ML techniques.
• Design and develop
  AI-powered applications, prototypes, and automation tools
  for business operations.
• Apply predictive analytics, NLP, and machine learning models to optimize decision-making.
• Collaborate with IT, product, and leadership teams to deliver
  AI-driven recommendations and solutions
  .
• Benchmark competitors' apps and features to identify gaps and opportunities.
• Translate complex technical insights into clear, actionable business reports.

Qualifications

• Bachelor's/Master's degree in
  Computer Science, Data Science, AI/ML, or related field
  .
• Proven hands-on experience in
  AI/ML model development and deployment
  .
• Strong programming skills in
  Python, R, or JavaScript (with AI frameworks)
  .
• Familiarity with
  TensorFlow, PyTorch, Scikit-learn, LangChain, or OpenAI APIs
  .
• Experience in
  app development
  (web/mobile) and integrating AI into applications.
• Knowledge of
  SQL, cloud platforms (AWS, Azure, GCP), and BI tools
  .
• Strong problem-solving mindset and ability to work cross-functionally.

What We Offer

• Opportunity to
  build real AI applications
  in a growing industry.
• Exposure to
  cutting-edge AI use cases
  in real estate and digital transformation.
• Competitive salary & benefits in a collaborative, innovative environment.

PURPOSE :

We are looking for an experienced AI Solutions Developer to design and deliver cutting edge Generative AI applications that integrate large language models (LLMs) with enterprise data and workflows. The ideal candidate is both technically strong and client facing, able to bridge hands on development with effective collaboration. With solid business understanding in Healthcare, Fintech or Industrial IoT, you will play a key role in translating business challenges into impactful AI solutions that drive real value for our clients.

QUALIFICATIONS, SKILLS, AND EXPERIENCE :

• Bachelor’s in Computer Science; MBA is a preferred.
• 4+ years of software development experience, including 2+ years working with international clients.
• Proven expertise in LangChain, RAG, and vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Strong backend development skills in Python (required), with Node.js experience considered a plus; proficiency in REST APIs, databases, and Git.
• Experience deploying and scaling solutions on AWS, Azure, or GCP.
• Excellent communication, presentation, and collaboration skills.
• Strong problem-solving abilities with business knowledge in Healthcare, Fintech, or IIoT.

KEY RESPONSIBILITIES :

• RAG Development: Design, build, and integrate RAG pipelines using vector databases such as Pinecone, Weaviate, Milvus, or FAISS.

• Framework Integration: Develop with LangChain, LlamaIndex, or similar tools to connect LLMs with structured and unstructured data.

• Workflow Engineering: Implement prompt engineering, tool chaining, and agent-based workflows.

• API & Dashboards: Build supporting APIs, dashboards, and integrations to enhance usability.

• Cloud Deployment: Deploy and scale AI applications on AWS, Azure, or GCP.

• Solution Architecture: Translate business requirements into scalable AI solution design.

• Client Collaboration: Participate in client calls, discovery workshops, and demos to ensure alignment with business needs.

• Communication: Present technical concepts clearly to both technical and non-technical stakeholders.

• Quality Assurance: Conduct code reviews and ensure delivery of high-quality, reliable solutions.

A Culture of Belonging : At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.

• Design scalable, reliable AI architectures and solutions
• Define system requirements, interfaces, and integration plans
• Provide technical leadership across AI projects
• Guide data and ML engineering best practices
• Review code and system designs for compliance and performance
  
  

• Master's degree in Computer Science, AI, or related discipline
• 5+ years of experience in AI system design and architecture
• Expertise in cloud-native AI solutions (AWS/GCP/Azure)
• Deep understanding of MLOps and deployment strategies
• Excellent communication and stakeholder management skills
  
  

• Design scalable, reliable AI architectures and solutions
• Define system requirements, interfaces, and integration plans
• Provide technical leadership across AI projects
• Guide data and ML engineering best practices
• Review code and system designs for compliance and performance
  
  

• Master's degree in Computer Science, AI, or related discipline
• 5+ years of experience in AI system design and architecture
• Expertise in cloud-native AI solutions (AWS/GCP/Azure)
• Deep understanding of MLOps and deployment strategies
• Excellent communication and stakeholder management skills