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enterprise architect data ai platforms

Systems Limited

<div>
 
 The Enterprise Architect &ndash; Data, AI &amp; Platforms is a senior leader within the Enterprise Architecture function, responsible for defining, governing, and evolving the organization&rsquo;s end‑to‑end technology architecture across data, AI/ML, platforms, and infrastructure. This role ensures that the enterprise technology landscape is modern, scalable, secure, cloud‑ready, and optimized to enable data‑driven decision-making, intelligent automation, and digital transformation. The Enterprise Architect partners with data teams, infrastructure, application development, security, and business domain architects to design an integrated technology ecosystem that accelerates value creation and supports enterprise strategic priorities.
 
 
 
 
 
 Responsibilities:
 
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 Define and maintain the enterprise target architecture across data, AI, platforms, and infrastructure, including principles, standards, patterns, and reference architectures.
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 Establish architecture guardrails that promote data quality, AI readiness, platform automation, integration, standardization, and security by design.
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 Lead the development of data and AI platform architecture, covering data lakes, data warehouses, real‑time streaming, ML platforms, and model lifecycle management.
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 Drive modernization initiatives across cloud, hybrid, and on‑prem environments to support advanced analytics, AI workloads, and scalable digital platforms.
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 Architect solutions that support large-scale analytics, ML training and inference, model deployment, and intelligent automation.
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 Collaborate with data architects and engineers to ensure data platforms are highly available, resilient, governed, and optimized for performance and cost.
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 Design platform capabilities that streamline DevOps, MLOps, DataOps, observability, and automation.
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 Ensure technology decisions support regulatory compliance for data governance, security, privacy, and data residency.
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 Lead the evolution of enterprise infrastructure to ensure it meets requirements for scalability, performance, AI compute, storage modernization, network reliability, and cybersecurity.
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 Oversee the lifecycle of key platforms including virtualization, container platforms (e.g., OpenShift/Kubernetes), cloud services, storage, and enterprise databases.
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 Guide the selection and implementation of infrastructure and cloud technologies that support AI acceleration, distributed computing, and modern data workloads.
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 Develop strategies for capacity planning, business continuity, and disaster recovery for critical platforms.
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 Partner with business and technology stakeholders to translate business outcomes into capable, scalable, and future-proof technology architectures.
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 Lead cross-functional architecture reviews and ensure alignment with enterprise architecture roadmaps.
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 Provide technical leadership and mentorship to architects, engineers, and project teams.
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 Maintain comprehensive documentation including roadmaps, reference architecture, standards, and guidelines.
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field (or equivalent experience).
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 15+ years in infrastructure, data, or platform engineering/operations, with 5&ndash;7 years in architecture leadership roles.
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 Demonstrated experience defining enterprise-wide data, AI, platform, and infrastructure architectures in complex hybrid environments.
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 Deep expertise in:
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 Enterprise data platforms, data engineering, analytics platforms.
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 AI/ML platforms, model lifecycle technologies, MLOps.
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 Cloud architecture (Azure, OCI, AWS).
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 Container platforms (Kubernetes, OpenShift).
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 Compute, storage, networking, security, and virtualization technologies.
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 Familiarity with infrastructure and platform solutions such as AIX, RHEL, Oracle Database, Dell EMC Storage, Pure Storage, Data Domain, Cisco, Palo Alto, Checkpoint.
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 Experience with DevOps, Platform Engineering, DataOps, MLOps, and observability tools.
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 Hands-on experience with Infrastructure-as-Code (IaC) and automation tools (Terraform, Ansible, Jenkins, etc.).
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 Strong understanding of security architecture, cloud governance, and regulatory requirements.
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 Proven ability to lead large-scale platform, data, or infrastructure transformation initiatives.
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 Excellent communication, analytical thinking, and cross-functional leadership skills.
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 Certifications in cloud, networking, infrastructure, or architecture frameworks (AWS, Azure, TOGAF) are a plus.
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 Experience with ITIL, Agile, and modern delivery methodologies.
 </li>
 </ul>
 
 
</div>

Enterprise Architect - Data, AI & Platforms

Human Capital HR Solutions

Job Title: Software Architect Location: Pakistan Job Type: Full-Time | Permanent Industry: Information TechnologyHuman Capital is hiring a Software Architect on behalf of our client in the IT industry. This role is ideal for a highly experienced technology leader who can design scalable, secure, and high-performance systems while driving architectural strategy and AI-enabled innovation within modern SaaS platforms.Key Responsibilities<ul><li>Define and drive the architectural vision and technology roadmap aligned with business goals.</li><li>Design scalable, secure, and reliable enterprise systems using microservices, monolithic, serverless, and event-driven architectures.</li><li>Lead integration of AI/ML components including automation systems, recommendation engines, and agent-based frameworks.</li><li>Evaluate emerging technologies such as LLMs, vector databases, and AI orchestration tools for strategic adoption.</li><li>Identify and resolve scalability, resiliency, and performance bottlenecks.</li><li>Establish and maintain architecture standards, documentation, and reusable frameworks.</li><li>Conduct code reviews, enforce security best practices, and ensure quality assurance standards.</li><li>Collaborate with product, DevOps, and data teams to define system integrations and AI governance standards.</li><li>Mentor development teams and conduct technical workshops.</li><li>Participate in project planning, technical risk assessments, and resource estimation.</li><li>Implement and maintain enterprise architecture frameworks across products.</li></ul>Required Skills<ul><li>Strong expertise in Java, Spring Cloud, Hibernate/JPA, and modern web technologies.</li><li>Deep understanding of microservices, cloud-native, and distributed system design.</li><li>Experience with cloud platforms such as Azure, AWS, or GCP.</li><li>Strong knowledge of CI/CD pipelines and DevSecOps practices.</li><li>Hands-on experience with AI/ML tools and frameworks including Python, TensorFlow, PyTorch, LangChain, and OpenAI APIs.</li><li>Experience working with vector databases such as Pinecone, Weaviate, or PostgreSQL pgvector.</li><li>Knowledge of AI agents, orchestration frameworks, and data pipeline architectures.</li><li>Strong problem-solving and system optimization skills.</li><li>Excellent leadership and mentoring capabilities.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field (Master&rsquo;s preferred).</li><li>Minimum 10+ years of hands-on software development and architecture experience.</li><li>Proven track record of designing and implementing enterprise-scale systems.</li><li>Experience leading cross-functional technical teams.</li></ul>How to Apply: Apply now by sending your updated resume to careers1.hc@gmail.com.Job Type: Full-timeWork Location: In person

Software Architect

HR POD Careers

<div>
 
 Requirements:
 
 
 
 <ul>
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 8+ years of software development experience
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 3+ years of experience in a Lead Engineer or Architect role
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 Strong expertise in the .NET stack (mandatory)
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 Experience designing scalable and distributed systems
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 Strong SQL and backend architecture experience
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 Hands-on experience with Azure or AWS
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 Proven engineering leadership experience
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 Strong communication and technical decision-making skills
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 Experience delivering enterprise-grade solutions for reputable organizations
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 Experience working in product-based companies
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 Exposure to modern frameworks
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 Experience with Docker and Kubernetes
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 Experience building SaaS, PaaS, FinTech, or high-scale platforms
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 Exposure to AI-assisted development practices
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the architecture and technical design of enterprise-grade systems
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 Ensure system scalability, security, performance, and maintainability
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 Mentor cross-functional engineering teams
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 Define engineering standards and architecture guidelines
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 Drive cloud infrastructure strategy (Azure/AWS)
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 Participate in client-facing technical discussions
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 Ensure disciplined development practices including CI/CD, documentation, and code reviews
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 Promote AI-assisted development and modern engineering practices
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 Make architecture decisions aligned with scalability and business goals
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 Balance long-term architecture planning with delivery speed
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 Provide mentorship that strengthens engineering standards
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 Confidently represent technical direction internally and externally
 
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 </ul>
</div>

Lead Software Engineer (Onsite, Karachi, PKR Salary)

Cubitrek Private Limited

Role overview We are hiring a Senior AI Engineer for our B2B SAAS to own the design, implementation, and scaling of our AI systems across ingestion, retrieval, and agentic workflows. Key responsibilities<ul><li>Design, build, and maintain production-grade AI services powering knowledge ingestion, retrieval-augmented generation (RAG), and role-based AI agents.</li><li>Architect end-to-end AI pipelines: from connecting to third-party tools and data sources to indexing in vector stores and exposing APIs to product surfaces.</li><li>Implement and optimize LLM-based workflows (prompting, tools, agents, evaluation loops) for reliability, latency, and cost.​</li><li>Own system design for new AI features, making clear trade-offs between accuracy, latency, and infrastructure cost.​</li><li>Ship high-quality, well-tested code in a modern backend stack, integrating with our existing microservices and front-end applications.​</li><li>Monitor and improve AI features in production (observability, logging, evaluation, guardrails, incident response).</li><li>Collaborate closely with product and core engineering to translate customer problems into technical roadmaps and implementation plans.​</li><li>Establish and champion best practices for AI engineering, code quality, and security in an enterprise context.</li><li>Mentor other engineers on AI patterns, architecture, and tooling.</li></ul>Required qualifications<ul><li>5+ years of experience in software engineering, with at least 2&ndash;3 years focused on building AI/ML-powered products in production.</li><li>Strong proficiency in a modern backend language (e.g., TypeScript/Node.js or Python) and experience building REST/GraphQL APIs or similar service interfaces.</li><li>Hands-on experience with LLMs and generative AI (commercial APIs such as OpenAI/Anthropic or open-source models), including integrating them into real products.</li><li>Experience designing and operating retrieval-augmented generation (RAG) or semantic search systems using vector databases (e.g., Milvus, Qdrant, Pinecone, pgvector).</li><li>Solid understanding of system design, distributed systems basics, and cloud infrastructure (GCP, AWS, or similar).</li><li>Strong skills in testing, monitoring, and maintaining production services (logging, metrics, alerting, CI/CD).</li><li>Ability to work independently in a fast-paced startup, take ownership, and drive projects from idea to production.</li><li>Excellent communication skills and comfort collaborating with non-technical stakeholders.</li></ul>Nice-to-have<ul><li>Familiarity with multi-tenant SaaS architectures and role-based access control.​</li><li>Experience with event-driven architectures and streaming (e.g., Kafka, Pub/Sub) for ingestion pipelines.</li><li>Background in security/compliance for enterprise customers (logging, auditability, data residency).</li><li>Prior startup or early-stage product experience.</li></ul>Benefits:<ul><li>Health and Life Insurance coverage</li><li>Paid Leaves as per company policy</li><li>Annual Increment based on performance evaluation</li><li>Hands-on practical experience on real projects</li><li>Supportive and collaborative work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What's your Current Salary?</li><li>What's your Expected Salary?</li></ul>Work Location: In person

Senior AI Engineer

LN Technologies

This role blends architecture, hands-on technical leadership, project oversight, and innovation strategy. You will help shape new research-driven products, guide technical delivery, and ensure projects are architected to scale securely and efficiently.Key ResponsibilitiesArchitecture &amp; Technical Leadership<ul><li>Design end-to-end architectures for AI solutions, IoT platforms, mobile apps, data platforms, and cloud-native systems.</li><li>Create high-level and detailed system designs, including:</li><li>Architecture diagrams</li><li>Data models</li><li>API specifications</li><li>Cloud infrastructure plans</li><li>Security and compliance frameworks</li><li>Evaluate and recommend emerging technologies aligned with R&amp;D objectives.</li></ul>Project Oversight &amp; Delivery Management<ul><li>Serve as technical lead and solution owner for new software development projects.</li><li>Collaborate with product managers, project managers, and engineering teams to:</li><li>Break down requirements</li><li>Define technical scope</li><li>Estimate effort</li><li>Guide sprint planning</li><li>Ensure adherence to best practices in:</li><li>Code quality</li><li>Security (including HIPAA, NIST 800-53 if healthcare-related)</li><li>Cloud DevOps</li><li>AI model governance</li></ul>R&amp;D &amp; Innovation Enablement<ul><li>Partner with research scientists and grant teams to translate concepts into technical architectures.</li><li>Support technical sections of grant proposals and innovation initiatives.</li><li>Prototype new ideas using rapid experimentation and POCs.</li></ul>Stakeholder Collaboration<ul><li>Collaborate with clients, government partners, universities, and internal teams to validate architectural decisions.</li><li>Present technical solutions to non-technical stakeholders.</li></ul>QualificationsRequired<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>5+ years of experience in software architecture or senior engineering roles.</li><li>Hands-on experience with:</li><li>Cloud platforms: Azure, AWS, or GCP</li><li>AI/ML frameworks: TensorFlow, PyTorch, Azure ML, SageMaker</li><li>IoT ecosystems: Azure IoT, AWS IoT, embedded systems, edge computing</li><li>API and microservices architecture</li><li>Mobile Apps and Platforms</li><li>Experience leading or overseeing software development teams.</li><li>Strong understanding of security, scalability, and system integration patterns.</li></ul>Preferred<ul><li>Experience with healthcare systems, medical data, or FDA/HIPAA compliance.</li><li>Experience architecting AI systems for real-time data, imaging, or predictive analytics.</li><li>Experience working in R&amp;D environments or emerging technology incubators.</li><li>Relevant certifications (AWS SA, Azure Solutions Architect, TOGAF, PMP, etc.).</li></ul>The ideal candidate:<ul><li>Thinks strategically but can dive into technical detail</li><li>Enjoys exploring new technologies</li><li>Can translate ambiguity into defined architectural direction</li><li>Works well in interdisciplinary environments (scientists + engineers + business teams)</li><li>Is comfortable leading, mentoring, and making architectural decisions</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs350,000.00 per monthWork Location: In person

Solution Architect (Emerging Technologies)

Job Status: Full Time OnsiteWorking Shift: Evening ShiftLocation: Shahrah e Faisal, KarachiJob Summary:Ideal candidate possesses deep expertise in enterprise software architecture, microservices, and cloud-native development, along with emerging AI and automation technologies. Candidate will collaborate with cross-functional teams to implement architectural best practices, resolve scalability challenges, and integrate AI-driven capabilities into modern SaaS platforms.Key Responsibilities:Define the architectural vision and roadmap, ensuring alignment with business goals and product strategy.Design and evolve scalable, secure, and reliable enterprise systems leveraging microservices, event-driven, and cloud-native architectures.Lead adoption of AI/ML-based components within applications, including intelligent automation, recommendation systems, and agentic frameworks.Evaluate emerging technologies (e.g., LLMs, vector databases, AI orchestration tools) and define integration strategies where relevant.Collaborate with development teams to identify performance bottlenecks, improve resiliency, and optimize system design.Maintain living documentation of architecture decisions, design standards, andreusable frameworks.Conduct technical workshops and mentoring sessions to elevate team capability in scalable system and AI architectural design.Oversee code reviews, security assessments, and ensure adherence to best practices.Partner with product and data science teams to define data pipelines, model integration points, and AI governance standards.Participate in project planning, resource estimation, and technical risk assessments.Drive a culture of continuous improvement and technical excellence across teams.Manage and mentor developers, setting goals, conducting appraisals, and tracking progress on deliverables.Implement and maintain the enterprise architecture framework, ensuring systemconsistency and reusability across products.Requirements:Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field; Master&rsquo;s preferred.10+ years of hands-on software development and software architecture experience.Proven expertise in Java, Spring Cloud, Hibernate/JPA, and modern web frameworks.Solid understanding of microservices, monolithic, and serverless architectural patterns.Experience designing cloud solutions (Azure, AWS, or GCP) with strong CI/CD and DevSecOps practices.Hands-on experience with AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, LangChain, OpenAI APIs).Familiarity with vector databases (Pinecone, Weaviate, PostgreSQL pgvector) and AI agents or orchestration frameworks.Working knowledge of data engineering and data pipeline architectures for AI integration.Job Type: Full-timeWork Location: In person

Architect - Software Solutions (Onsite Karachi)

Softech Worldwide

<div>
 
 About VIDIZMO
 
 
 
 VIDIZMO is a U.S.-based technology company headquartered in Tysons, Virginia, and a certified Microsoft Solutions Partner across Data &amp; AI, Infrastructure, and Digital &amp; App Innovation. Through our AI-powered Intelligence Hub, we help Fortune 500 enterprises, government agencies, and public sector organizations securely manage, analyze, and govern complex data &mdash; with full control and compliance.
 
 
 Our Multimodal AI Data Intelligence Platform harnesses Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to deliver capabilities including automated tagging, redaction, summarization, OCR, translation, subtitle generation, object detection and tracking, intelligent search, sentiment and emotion analysis, topic extraction, document classification, and facial recognition.
 
 
 The Role
 
 
 We're looking for an Organic Growth Marketing Specialist to own and scale our non-paid growth engine across search, content, AI-driven discovery (AEO), product-led acquisition, and lifecycle touchpoints. This role sits at the intersection of SEO, AEO, content strategy, analytics, and product growth &mdash; with a clear mandate: turn market demand into discoverable content, and convert organic visibility into qualified pipeline and revenue.
 
 
 You'll work closely with Product, Sales, and RevOps to ensure our content, messaging, and product positioning consistently reflect real-world buyer intent. This is a high-ownership, high-visibility position with a direct line to GTM strategy and measurable revenue impact.
 
 
 What You'll Own
 
 
 Organic Growth Strategy
 
 
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 Own end-to-end organic strategy across SEO, AEO, and inbound channels
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 Optimize content for search engines and AI answer platforms &mdash; Google SGE, featured snippets, Perplexity, ChatGPT, and emerging AI search surfaces
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 Drive discoverability for high-intent, use-case-specific, and decision-stage queries
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 Optimize organic journeys from first touch &rarr; demo &rarr; closed revenue
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 Partner with RevOps on attribution modeling, lifecycle tracking, and funnel reporting
 
 
 </li>
 </ul>
 Content Creation &amp; AI-Assisted Production
 
 
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 Research, plan, and produce high-quality content including long-form blogs, landing pages, use case pages, comparison pages, and thought leadership pieces
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 Leverage AI writing tools (Claude, ChatGPT, Copilot, Jasper, or similar) to accelerate content production &mdash; drafting, ideation, repurposing, and formatting
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 Ensure all AI-assisted content is thoroughly reviewed, fact-checked, and refined before publication &mdash; AI accelerates your output; your judgment defines its quality
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 Maintain a consistent editorial voice aligned with VIDIZMO's brand and enterprise audience
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 Translate complex technical capabilities (LLMs, RAG, multimodal AI) into clear, compelling content that resonates with buyers across industries
 
 
 </li>
 </ul>
 Insights &amp; Cross-Functional Influence
 
 
 <ul>
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 Translate organic search data into actionable insights for Product (feature demand signals, emerging terminology, use case gaps)
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 Align content strategy with market demand, product positioning, and Sales messaging
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 Communicate performance clearly to leadership and cross-functional teams through dashboards, reports, and recommendations
 
 
 </li>
 </ul>
 AI Output Verification &amp; Accountability
 
 (Required Competency)
 
 
 
 We actively use AI tools to move faster &mdash; and we expect this role to do the same. However, AI-generated output is never the final product. The candidate must demonstrate strong judgment and full ownership of every deliverable, regardless of how it was produced.
 
 
 
 This Means
 
 
 
 <ul>
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 Validating accuracy, factual completeness, and logical coherence of AI-assisted content
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 Ensuring alignment with compliance requirements, brand standards, and business objectives
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 Refining AI output to meet publication-ready quality &mdash; not just reviewing it for surface errors
 </li>
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 You are accountable for the final output. The tool is a resource; the responsibility is yours.
 
 
 </li>
 </ul>
 Candidates who treat AI as a shortcut rather than a capability multiplier are not the right fit for this role.
 
 
 Tools You'll Work With
 
 
 <ul>
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 Analytics: GA4, Google Search Console, HubSpot
 </li>
 <li>
 SEO / AEO: Ahrefs, SEMrush, Screaming Frog, SERP tracking tools
 </li>
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 Content &amp; AI: Claude, ChatGPT, Jasper, Surfer SEO, Clearscope, or equivalent
 </li>
 <li>
 Reporting: Looker Studio, HubSpot dashboards, custom performance reports
 </li>
 <li>
 Collaboration: Slack, Notion, Jira, or similar project tools
 
 
 </li>
 </ul>
 How We'll Measure Your Success
 
 
 <ul>
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 Growth in organic traffic and AI-driven discoverability for high-intent queries
 </li>
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 Volume and quality of organic-sourced MQLs, SQLs, and pipeline contribution
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 Conversion rate improvements across organic funnels
 </li>
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 Content output volume and quality, including AI-assisted pieces
 </li>
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 Actionable market insights that influence GTM decisions and product roadmap
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
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 BS degree in CS, IT, Business, Marketing, or any relevant field
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 5+ years in organic growth, SEO, content marketing, or inbound growth roles
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 Proven hands-on experience with AEO and modern search behavior (AI Overviews, SGE, conversational search)
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 Strong B2B SaaS or regulated-market experience (enterprise, government, healthcare, legal, or similar)
 </li>
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 Demonstrated ability to connect search demand &rarr; content &rarr; pipeline &rarr; revenue
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 Proficiency with AI writing tools and a clear, principled approach to reviewing and owning AI-assisted output
 </li>
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 Comfortable producing and editing long-form B2B content independently
 </li>
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 Analytical mindset &mdash; able to build dashboards, forecast organic performance, and report to leadership
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with GEO (Generative Engine Optimization) or brand citation strategies for AI platforms
 </li>
 <li>
 Familiarity with HubSpot for lifecycle tracking and organic attribution
 </li>
 <li>
 Background in enterprise tech, compliance-heavy industries, or public sector marketing
 </li>
 <li>
 Experience collaborating with RevOps, Product, or Sales on GTM strategy
 
 
 </li>
 </ul>
 Why This Role Matters
 
 
 Organic is a core growth lever at VIDIZMO &mdash; not a support function. This role carries direct influence over product positioning, buyer messaging, and revenue pipeline. If you're a strategic thinker who can write well, use AI tools responsibly, and connect content to commercial outcomes, this is where you'll do your best work.
 
 
 Benefits: Health Insurance (OPD/IPD), Daily Lunch Facility, Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location)
</div>

Organic Content Marketing Specialist

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