92 AI Architects jobs in Pakistan

• 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
  
  

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.

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. Requirements 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.

Build production AI applications using Azure’s AI ecosystem for enterprise clients. You’ll architect conversational AI, computer vision, and intelligent automation solutions, not just use AI tools to code faster.

• Design & implement AI-enabled business applications using Azure AI services
• Build conversational AI agents with Copilot Studio and Azure Bot Framework
• Develop computer vision solutions for manufacturing, construction, healthcare, finance, and retail
• Create intelligent document processing workflows using Azure AI services
• Lead technical client engagements and translate business needs into AI solutions

• Azure AI Foundry (Azure AI Studio) for model deployment
• Azure OpenAI Service integration and fine-tuning
• Copilot Studio for enterprise chatbots
• 4 to 6 years of experience is required
• Azure Computer Vision and Document Intelligence
• RAG implementations with Azure AI Search
• Production AI applications (not prototypes)

• Python (AI/ML development) – Required
• C#/.NET (enterprise integration) – Preferred
• JavaScript/TypeScript (front-end AI integrations) – Preferred
• REST APIs and Azure SDK integration – Required
• Vector databases and semantic search – Required

• Built production AI solutions that users interact with daily
• Azure AI ecosystem expert – knows which service to use when
• Client-facing experience – can explain AI to business stakeholders
• Business impact focused – understands AI ROI, not just technical complexity

• Azure AI Engineer Associate (AI-102) certification
• Experience with Lang-Chain/Semantic Kernel
• Multi-modal AI applications (text, vision, speech)

• Competitive salary and benefits
• Dollar Pegging
• Internet and Gym Reimbursements.
• Company Sponsored Subsidized Lunch
• Paid holidays and vacations.
• Medical outpatient reimbursement and inpatient facility.
• Opportunities to make a difference in a small, yet highly productive environment.
• Provident Fund
• Employee Centric Benefits and Policies
• Company sponsored certifications
• 5 Year service reward
• US-H1 Visa Offering

• AI market leadership while competitors pilot
• Direct enterprise impact with production deployments
• Technical growth with latest Azure AI capabilities

The Product Owner is responsible for shaping the vision, strategy, and execution of AI-driven products, ensuring alignment with business goals and market needs. This role demands deep market understanding, technical proficiency, and the ability to translate business objectives into actionable deliverables. You will work cross-functionally with stakeholders, engineers, and designers to build innovative, high-impact AI-powered solutions.

• Define and articulate a compelling product vision aligned with business objectives and AI market trends.
• Create and maintain a product roadmap informed by market research and competitive intelligence.
• Prioritize features and initiatives based on data-driven insights, business value, and customer feedback.
• Continuously evaluate emerging AI technologies to incorporate into strategic planning.

• Serve as the primary link between business stakeholders, engineering teams, and executive leadership.
• Translate complex business requirements into clear, actionable user stories.
• Gather ongoing feedback from users, customers, and partners to inform product evolution.
• Collaborate with Marketing & Sales teams to shape product positioning and go-to-market strategies.

• Own and manage the product backlog, defining user stories and acceptance criteria.
• Partner with engineers, data scientists, and designers to deliver high-performing AI solutions.
• Actively participate in Agile ceremonies: sprint planning, backlog grooming, and stand-ups.
• Make data-informed decisions using analytics, user feedback, and performance metrics.
• Monitor development progress and proactively address blockers to meet timelines.

• Conduct deep market research to identify trends, gaps, and opportunities in AI technology.
• Benchmark competitors and refine the product for unique market positioning.
• Use A/B testing, user analytics, and performance metrics to refine product features.

• Define key KPIs to measure product success across engagement, adoption, and ROI.
• Iterate and enhance features based on data and feedback loops.
• Promote a culture of experimentation and innovation across product teams.

• Proven experience as a Product Owner or Product Manager, preferably in AI, SaaS, or emerging tech domains.
• Strong understanding of AI, ML, and data science concepts as they apply to product development.
• Expertise in Agile/Scrum methodologies with hands-on backlog and sprint management.
• Experience delivering product roadmaps with a focus on high-impact features and usability.
• Proficient in tools like Jira, Confluence, Trello, or similar product management platforms.
• Strong analytical, problem-solving, and decision-making skills.
• Effective communicator with both technical and non-technical stakeholders.
• Familiarity with software development lifecycles, UX/UI principles, and cloud-based architectures.
• Bachelor’s degree in Business, Computer Science, Engineering, or a related field; MBA preferred.

• Experience working with AI-powered applications, APIs, or ML platforms.
• Background in SaaS product lifecycle and GTM strategies.