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data ai architect

VentureDive

<div>Job Brief 
We are seeking a highly skilled Data &amp; AI Architect to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data &amp; AI ecosystems that support analytics, automation, and innovation. 
 
VentureDive Overview 
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. 
 
Key Responsibilities:<ul><li>
Architect, design, and implement end-to-end Data &amp; AI solutions across cloud, on-premises, or hybrid environments.</li><li>
Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources.</li><li>
Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring.</li><li>
Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling.</li><li>
Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps.</li><li>
Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications.</li><li>
Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage.</li><li>
Optimize pipelines and workflows for performance, scalability, and cost-efficiency.</li><li>
Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models.</li><li>
Produce high-quality architecture documentation, data flow diagrams, and solution blueprints.</li><li>
Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design.</li><li>
Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases.</li></ul> 

Required Experience &amp; Qualification:<ul><li>
10+ years of experience in data engineering, data architecture, or AI solution design.</li><li>
Strong hands-on experience with data platform technologies, such as:</li><li>
Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar.</li><li>
Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse).</li><li>
AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI).</li><li>
Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time).</li><li>
Deep understanding of data lakehouse and data mesh architectures.</li><li>
Experience implementing governance, lineage, and security frameworks for data and AI systems.</li><li>
Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences.</li><li>
Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems.</li></ul> 

Preferred Skills:<ul><li>
Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures).</li><li>
Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines).</li><li>
Familiarity with DataOps and CI/CD practices for data and AI workflows.</li><li>
Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker).</li><li>
Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI.</li><li>
Experience leading data and AI modernization initiatives or enterprise AI strategy projects.</li><li>
Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards).</li></ul> 
What we look for beyond required skills 
In order to thrive at VentureDive, you 
&hellip;are intellectually smart and curious 
&hellip;have the passion for and take pride in your work 
&hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values 
&hellip;have a no-frills attitude 
&hellip;are a collaborative team player 
&hellip;are ethical and honest 
 
Are you ready to put your ideas into products and solutions that will be used by millions? 
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball! 
 
#LI-Hybrid
lSXDsfMqSd</div>

Data & AI Architect

VIDIZMO LLC

<div>We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that&rsquo;s at the forefront of AI innovation, this is your chance to hit the ground running. 
VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a Microsoft Solutions Partner in Data &amp; AI, Infrastructure, and Digital &amp; App Innovation. Offering a AI-Powered Intelligence Hub, we empower Fortune 500 companies, large enterprises, governments, and the public sector to securely manage, analyze, and govern their data with complete control and compliance. 
Our Multimodal AI Data Intelligence Platform leverages Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) to deliver powerful capabilities such as auto-tagging, redaction, content summarization, OCR, translation, subtitle creation, object detection and tracking, content search, sentiment and emotion analysis, topic extraction, document classification, and facial attribute detection. 
About the Role 
We are seeking an experienced and highly skilled Computer Vision &amp; Video Analytics Engineer to join our cutting-edge AI engineering team. In this role, you will design, build, and optimize real-time intelligent video analytics (IVA) systems by bridging the gap between machine learning models and high-performance production deployment.

You will architect and optimize GPU-accelerated video pipelines using NVIDIA DeepStream, GStreamer, CUDA, and TensorRT to deliver low-latency, scalable, and production-grade solutions. 
Responsibilities
<ul>
<li>Architect, develop, and optimize real-time video analytics pipelines using NVIDIA DeepStream and GStreamer.</li>
<li>Optimize deep learning inference using TensorRT and maximize GPU performance using CUDA.</li>
<li>Integrate computer vision models (detection, segmentation, tracking, classification) into production systems.</li>
<li>Write clean, efficient, and maintainable C/C++ and Python code for Linux-based environments.</li>
<li>Troubleshoot, debug, and optimize GPU-accelerated, high-throughput applications.</li>
<li>Collaborate with data scientists, hardware teams, and backend engineers to refine and deploy AI pipelines.</li>
<li>Participate in code reviews, system design discussions, and performance optimization sessions.</li></ul> 


Requirements 
<ul>
<li>
Professional software engineering experience with a focus on computer vision, GPU acceleration, or high-performance computing.</li>
<li>Strong proficiency in C/C++ and Python.</li>
<li>Hands-on experience with:
<ul><li>NVIDIA DeepStream SDK</li>
<li>GStreamer multimedia pipelines</li>
<li>CUDA programming</li>
<li>TensorRT for model optimization</li>
</ul></li><li>Strong understanding of computer vision tools and frameworks: OpenCV, PyTorch, TensorFlow, ONNX.</li>
<li>Familiarity with message brokers such as Kafka, MQTT, or microservice architectures.</li>
<li>Strong grasp of CV concepts: object detection, segmentation, classification, tracking, and model optimization.</li>
<li>Excellent debugging and problem-solving skills in GPU-accelerated environments.</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related field.</li></ul> 


Preferred Qualifications 
<ul>
<li>Experience with Docker, containerization, and Kubernetes.</li>
<li>Hands-on experience with NVIDIA Jetson or other edge AI platforms.</li>
<li>Experience building custom GStreamer plugins or low-level GPU kernels.</li></ul> 


Essential Skills:

The ideal candidate demonstrates strong business acumen, can translate objectives into impactful solutions, and is proficient in leveraging AI tools&mdash;including mandatory use of platforms like ChatGPT&mdash;to enhance efficiency. An ownership mindset and the ability to drive outcomes with minimal task-level direction are essential. 
Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location) 


Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA</div>

CUDA Developer

Horizon Tech

We are looking for a skilled Data Engineer to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.This is an exciting opportunity to shape the data foundation of a growing business, leveraging a modern AWS and engineering ecosystem.Must Haves:<ul><li>3-5 years of experience in data engineering or a similar role working with large-scale, distributed data systems.</li><li>Strong proficiency in Python, SQL, and data modelling for analytical and transactional systems.</li><li>Deep understanding of modern AWS data and analytics services (e.g., S3, Glue, Lambda, Redshift, or equivalents).</li><li>Experience with Apache Spark / PySpark for batch and stream processing.</li><li>Solid knowledge of data governance, security, and compliance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD practices.</li><li>Understanding of AI/ML data workflows, including feature engineering and data preparation for LLMs or predictive models.</li><li>Strong problem-solving, collaboration, and communication skills.</li></ul>Preferred (Nice to Have)<ul><li>Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.</li><li>Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.</li><li>Awareness of MLOps pipelines, model monitoring, and feature store management.</li></ul>Responsibilities:<ul><li>Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).</li><li>Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.</li><li>Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.</li><li>Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.</li><li>Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.</li><li>Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.</li><li>Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.</li><li>Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.</li><li>Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.</li></ul>Other Details<ul><li>Work Days: Monday-Friday (3 pm - 12 am)</li><li>Office location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>What is your expected salary?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>data engineering with large-scale data systems: 3 years (Required)</li><li>Python, SQL and modern AWS data and analytics services: 3 years (Required)</li><li>ETL/ELT workflows : 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Data Engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader">Lead GenAI Engineer (Application Development)</h3>
Experience: 7&ndash;12+ years 
Location: Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan) 
Employment Type: Full-time<h4 class="jobSectionHeader">
About the Role</h4>
NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.<h4 class="jobSectionHeader">
Core Responsibilities</h4><ul><li>
Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of 8&ndash;12 engineers across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive technical decision-making across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader">
Technical Requirements</h4>
GenAI Leadership (3+ Years) &ndash; Primary<ul><li>
Proven experience in developing and deploying GenAI applications in production.</li><li>
Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.</li><li>
Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.</li><li>
Strong prompt engineering and Chain-of-Thought optimization capabilities.</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.</li><li>
Expertise in the AI/ML model lifecycle &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.</li></ul>
Application Development &amp; Architecture (7+ Years)<ul><li>
Strong background in full-stack development (MERN or equivalent stack).</li><li>
Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in API development (REST, GraphQL) and microservices architecture.</li><li>
Experience deploying solutions across on-premises, cloud, and hybrid environments.</li><li>
Kubernetes for container orchestration and deployment management.</li><li>
Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.</li></ul>
Cloud &amp; Infrastructure<ul><li>
Hands-on experience with AWS/Azure/GCP cloud environments and ML services.</li><li>
Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.</li><li>
Understanding of hybrid architecture design integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader">
Proven Delivery</h4><ul><li>
Successful delivery of 7+ enterprise or AI/ML-driven applications.</li><li>
Demonstrated leadership experience managing cross-functional technical teams.</li><li>
Ability to deliver high-quality, scalable, and secure solutions under tight timelines.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Cloud certifications (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent communication and leadership skills, capable of bridging business and technology.</li><li>
Experience working in Agile/Scrum environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader">
Ideal Candidate</h4>
A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.
TKy0yLI6H2</div>

Lead GenAI Engineer (Application Development)

Beam AI

<div>Beam AI builds self-learning AI agents and an organisational operating system where intelligence grows through autonomous discovery. We help enterprises evolve from AI-curious to AI-native with automation that delivers results today and learns to improve itself over time. Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful.
<h3 class="jobSectionHeader">About the Team</h3>
Beam&rsquo;s engineering team is building the core infrastructure for self-learning agents, turning AI into reliable, production-grade systems. We work across the full stack, from frontend to infra, solving for real-time orchestration, tool integration, and complex workflow execution. This is a high-trust, high-impact environment where engineers move fast, ship often, and help shape both the product and the platform as we scale. If you care about building with clarity, speed, and depth, you&rsquo;ll do your best work here.<h3 class="jobSectionHeader">
About the Role</h3>
We&rsquo;re looking for a seasoned Software Architect to lead the design of our GenAI and agentic systems. You&rsquo;ll define the architectural north star for how Beam builds intelligent, autonomous agents that reason, learn, and operate at scale. This is a high-impact role for someone who can bridge visionary product thinking with deep technical execution. You&rsquo;ll influence everything from our orchestration frameworks to model experimentation pipelines, and ensure our technical choices align with strategic outcomes.<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Define the architecture vision for GenAI and agentic systems, including orchestration, memory, and reasoning layers.</li>
<li>Design modular, scalable systems that support LLMs, RAG pipelines, vector databases, and multimodal inputs.</li>
<li>Architect agentic workflows capable of multi-step reasoning, autonomous decision-making, and long-context operations.</li>
<li>Lead technical decision-making across key systems, ensuring alignment with product goals and cost efficiency.</li>
<li>Build frameworks for experimentation, model evaluation, and fast iteration in production.</li>
<li>Partner with product, ML, and engineering to bring new features to life, with speed and strategic clarity.</li>
<li>Drive scalability, observability, and reliability across inference, retrieval, and orchestration pipelines.</li>
<li>Translate architecture into business impact: act as a technical voice in leadership conversations and client engagements.</li>
<li>Mentor senior engineers, shape design standards, and cultivate architectural excellence across the team.</li>
</ul>
Requirements<ul><li>
10+ years of experience in software engineering, with 3+ years architecting AI/ML systems at scale.</li></ul><ul>
<li>Expertise in LLMs, agentic frameworks, RAG, vector databases, and orchestration layers.</li>
<li>Strong backend engineering skills in Node.js, Python, or Go.</li>
<li>Deep understanding of cloud platforms (AWS, GCP, or Azure) and MLOps tooling.</li>
<li>Track record of aligning architecture with business strategy and measurable outcomes.</li>
<li>Exceptional communication skills across technical and executive audiences.</li>
<li>Proven mentorship and technical leadership experience.</li>
</ul>
Nice to Have<ul>
<li>
Experience with LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.</li>
<li>Familiarity with open-source model stacks (Llama, Mistral) or commercial APIs (OpenAI, Anthropic).</li>
<li>Exposure to multi-agent systems and long-running autonomous workflows.</li>
</ul>
Benefits
At Beam, we&rsquo;re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We&rsquo;re thoughtful about what we build, how we work, and who we hire. The problems we&rsquo;re solving are real. The systems we&rsquo;re building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won&rsquo;t find rigid hierarchies or endless process here. You&rsquo;ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
Our culture is shaped by our values in action:<ul>
<li>
AI-native thinking: Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn&rsquo;t just what we build, it's how we operate.</li>
<li>Customer obsession: We build with urgency and empathy, speak to customers early and often, and measure success through their outcomes.</li>
<li>Speed as a habit: We ship fast, learn faster, and prioritize unblocking over perfection. We favour small experiments with tight feedback loops.</li>
<li>Leverage-focused execution: We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedback.</li>
<li>Highly aligned, loosely coupled: We align on outcomes, not tasks. You&rsquo;ll work independently, but never in isolation.</li>
<li>Data-driven, human-guided: We seek clarity over comfort, speak up early, and use feedback to grow together.</li>
</ul>
If this sounds like the kind of work you want to do and the kind of team you want to grow with, we&rsquo;d love to hear from you!</div>

Software Architect

Prime Care Medical Group PC

Senior Full-Stack Developer / Technical Lead &ndash; Healthcare, AR/VR, RetailLocation: Remote &ndash; Pakistan Employment Type: Full-time | 40 hours/week | 2-year contract Compensation: Negotiable (PKR) + milestone bonuses + advisory equity (vesting at contract completion) Reporting To: Country Lead &ndash; Pakistan Work Hours: 9:00 AM &ndash; 5:00 PM ESTAbout the RolePrime Care Medical Group PC is expanding its technology division in Pakistan. We are looking for a Senior Full-Stack Developer / Technical Lead to drive end-to-end development of healthcare and retail platforms. The role covers architecture, technical leadership, and delivery across full-stack solutions, including AI/ML, AR/VR, vector imaging, and embedded EMR modules.Key Responsibilities<ul><li>Architect and deliver full-stack solutions (backend APIs, cloud infrastructure, frontend UI/UX).</li><li>Integrate AI/ML, AR/VR, imaging, and EMR/CRM modules.</li><li>Ensure adherence to coding standards, documentation, and security/compliance (HIPAA/GDPR).</li><li>Mentor and coordinate support staff (QA, UI, DevOps).</li><li>Drive on-time releases and maintain high technical standards.</li></ul>Required Qualifications<ul><li>6+ years full-stack development experience, with at least 2 years in senior/lead roles.</li><li>Proficient in Node.js / Python / React / Next.js / SQL / NoSQL / REST / GraphQL.</li><li>Proven track record in delivering end-to-end software solutions.</li></ul>Preferred Skills<ul><li>Experience in healthcare, retail, AR/VR, or AI/ML platforms.</li><li>Knowledge of HIPAA/GDPR and medical data standards.</li><li>Experience mentoring or leading development teams.</li></ul>Benefits &amp; Incentives<ul><li>Negotiable monthly salary (PKR)</li><li>Milestone-based performance bonuses</li><li>Advisory equity (vesting after contract completion)</li><li>Fully remote role</li><li>Recognition and portfolio visibility across projects</li></ul>How to ApplySubmit your CV, portfolio, and a brief summary of projects you have led in healthcare, retail, or AR/VR systems. Only applicants based in Pakistan will be considered.Job Types: Full-time, Contract Contract length: 24 monthsWork Location: Remote

Senior Full-Stack Developer / Technical Lead (Healthcare / AR-VR / Retail Platform – Karachi)

SOC Solutions LLC

Location: Karachi, Pakistan (On-site) Timing: 11 AM &ndash; 8 PM (Mon&ndash;Fri) Company: Botmer InternationalWe&rsquo;re looking for an experienced Principal Software Engineer (Clouds) to lead cloud architecture, infrastructure automation, and large-scale deployment systems across our AI-driven software products.Responsibilities<ul><li>Architect and maintain scalable cloud infrastructure (AWS, GCP, or Azure)</li><li>Lead and mentor a team of senior engineers</li><li>Design CI/CD pipelines, monitoring, and disaster recovery solutions</li><li>Ensure cloud cost optimization and performance efficiency</li><li>Collaborate closely with AI and full-stack teams on system integration</li></ul>Requirements<ul><li>8+ years of software engineering experience, with at least 3+ years in cloud-focused roles</li><li>Strong command of AWS, Docker, Kubernetes, Terraform, and CI/CD tools</li><li>Proficient in backend programming (Python, Node.js, or Go)</li><li>Experience with microservices, APIs, and security best practices</li><li>Leadership experience managing or mentoring technical teams</li></ul>Perks<ul><li>Competitive market salary</li><li>Collaborative and fast-paced startup culture</li><li>Opportunity to work on cutting-edge AI and automation projects</li></ul>Job Type: Full-timePay: Rs350,000.00 - Rs500,000.00 per monthApplication Question(s):<ul><li>What is your expected Salary for this Role?</li></ul>Experience:<ul><li>Software Development: 5 years (Required)</li><li>DevOps: 5 years (Required)</li></ul>Work Location: In person

Principal Software Engineer

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