agentic execution lead (technical project manager)

associate project manager

associate software engineer Jobs in Lahore

associate software engineer

agentic execution lead (technical project manager) Jobs in Lahore

ai architect & technical lead Jobs in Lahore

ai architect & technical lead

ai engineer

ai architect technical lead

Fusion Cortex

Job Title: AI Architect &amp; Technical LeadLocation: Johar Town, Lahore Experience: 5+ Years (Full-Stack Development &amp; Systems Architecture) Technology Stack: TypeScript/Node.js, React, Vector Databases, Cursor/Vibe-Native Tools, Python/FastAPIThe MissionWe are a fast-moving AI venture leveraging the &ldquo;Vibe Coding&rdquo; revolution to build MVPs at exceptional speed. We are seeking a Founding AI Architect &amp; Technical Lead who can embrace this rapid development pace while ensuring our systems remain structured, scalable, and secure.You will lead a passionate team of junior developers, mentoring them on how to effectively use AI development tools (Cursor, Lovable, Claude) while maintaining strong engineering discipline, architectural consistency, and production readiness.Key ResponsibilitiesAI Development OrchestrationDefine and maintain development standards for AI-assisted coding, including frameworks such as .cursorrules, prompt libraries, and system prompts, ensuring AI-generated code aligns with our architectural and security standards.Hybrid Data ArchitectureDesign and oversee a scalable hybrid data ecosystem that integrates:&middot; Relational databases (PostgreSQL / MySQL) for application portals&middot; Vector databases (Pinecone, Weaviate, pgvector) for RAG systems and AI pipelines&middot; NoSQL or unstructured storage for model training datasetsAI-Driven Engineering MentorshipLead developers through pair programming and AI-assisted development workflows, teaching best practices for prompt engineering and code validation while maintaining clean, modular backends using Node.js/TypeScript and Python/FastAPI.Infrastructure &amp; ReliabilityTransform AI-generated prototypes into production-ready microservices, implementing Dockerized architectures that are secure, scalable, and reliable.Data Pipeline OversightCollaborate closely with the data scraping and data engineering team to ensure collected datasets are clean, structured, and high-quality for both marketing platforms and AI model training/fine-tuning pipelines.Required Technical Expertise Full-Stack EngineeringExpert-level experience with:&middot; React (Frontend Development)&middot; Node.js / TypeScript (Backend Systems)AI-Native DevelopmentHands-on expertise with modern AI development tools such as:&middot; Cursor , Claude &amp; LovableYou view AI as a force multiplier for engineering productivity, not a shortcut that replaces sound engineering practices.Database &amp; Data ArchitectureStrong experience with:&middot; PostgreSQL or MySQL&middot; Vector databases (Pinecone, Weaviate, pgvector)&middot; Data modeling for hybrid AI + application architecturesDevOps &amp; SecurityPractical experience with:&middot; Docker and containerized microservices&middot; Production infrastructure practices&middot; Security auditing of AI-generated code&middot; Secure API design and system hardeningThe Ideal Candidate:&middot; 5+ years of professional software engineering experience&middot; Maintains a strong builder / hacker mindset&middot; Enjoys mentoring developers and pair programming&middot; Comfortable operating in startup environments with evolving requirements&middot; Thrives in phase-wise product delivery and rapid iteration cyclesEngineering Philosophy Code Quality:AI-generated code is treated as a first draft, not the final product. Every output must be reviewed, refactored, and validated for maintainability and security.Scalability: Even early MVPs should be designed with the potential to scale to 100,000+ users.Efficiency: Success is measured by the team&rsquo;s iteration velocity combined with production stability and reliability.Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthWork Location: In person

AI Architect & Technical Lead

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

Enterprise Architect - Data, AI & Platforms

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

Argon Tech

We are looking for an experienced and highly skilled Senior Python Django Developer to lead backend development initiatives. The ideal candidate will be responsible for designing scalable architectures, building high-performance APIs, mentoring junior developers, and ensuring code quality and best practices across projects.Key Responsibilities<ul><li>Design, develop, and maintain scalable web applications using Python and Django</li><li>Architect and implement robust RESTful APIs using Django REST Framework</li><li>Lead backend system design and database architecture</li><li>Optimize application performance, scalability, and security</li><li>Review code, enforce best practices, and maintain coding standards</li><li>Integrate third-party APIs and external services</li><li>Implement background tasks using Celery/Redis or similar tools</li><li>Manage database performance (PostgreSQL/MySQL optimization)</li><li>Work closely with frontend, DevOps, and product teams</li><li>Participate in sprint planning, estimations, and technical decision-making</li><li>Mentor junior developers and provide technical guidance</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or related field</li><li>4+ years of professional experience in Python development</li><li>Strong expertise in Django and Django REST Framework</li><li>Deep understanding of MVC architecture and software design patterns</li><li>Strong experience with PostgreSQL or other relational databases</li><li>Experience with API authentication (JWT, OAuth)</li><li>Hands-on experience with Git and version control workflows</li><li>Experience in writing unit tests and integration tests</li><li>Strong problem-solving and debugging skills</li></ul>Application Question(s):<ul><li>Please share your current salary, expected and notice period</li><li>Are you willing to come onsite for this job ?</li></ul>Experience:<ul><li>Python/AI: 4 years (Preferred)</li></ul>Work Location: In person

Python Developer

Assembly Talent

<div>
 Job Title: Agentic Execution Lead (Technical Project Manager)
 
 
 
 About Assembly Industries
 
 
 
 Talent is distributed but Opportunities are not - Assembly Industries is breaking that pattern by building an AI enabled talent platform that connects top-tier, highly skilled global professionals with innovative companie s across the US. As a fast-growing startup, we are laser-focused on impactful growth, agile strategies, and exceptional results.
 
 
 Role Overview:
 
 
 We&rsquo;re hiring an Agentic Execution Lead &mdash; a hybrid of senior product thinker, client solutions architect, and project orchestrator. Your job is to take enterprise-grade operational challenges and deliver fully executed AI agent workflows, from discovery to deployment.
 
 
 You&rsquo;ll be the face of execution with our clients, driving clarity, alignment, and delivery across multiple stakeholders, systems, and constraints. Internally, you&rsquo;ll work closely with automation engineers, operations experts, and founders to own the path from SOP to live agent system.
 
 
 This isn&rsquo;t a PM role tucked behind a roadmap. This is hands-on, client-facing, and delivery-oriented from day one.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Own end-to-end delivery of AI agent systems for enterprise clients, from SOP breakdown to live deployment
 </li>
 <li>
 Interface directly with client operations and product stakeholders to clarify use cases, gather technical and process requirements, and manage delivery expectations
 </li>
 <li>
 Convert ambiguous client SOPs into structured workflows, product specs, and execution plans
 </li>
 <li>
 Collaborate tightly with engineers to design and ship automation-ready solutions
 </li>
 <li>
 Lead structured implementation processes, including scoping, change management, UAT, and feedback integration
 </li>
 <li>
 Anticipate risks, misalignments, and process breakdowns&mdash;and solve them before they slow us down
 </li>
 <li>
 Balance near-term client priorities with long-term platform scalability
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 6+ years in product, solutions, or client delivery roles - proven track record of working with external clients or partners to deploy complex systems
 </li>
 <li>
 Experience owning delivery of B2B or enterprise software products or services, startup experience or entrepreneurial environments preferred
 </li>
 <li>
 Hands-on experience translating operational SOPs into structured workflows or software features
 </li>
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 Demonstrated ability to deliver under pressure, with limited oversight and shifting priorities
 </li>
 <li>
 Proficient with project management tools such as Notion, Jira, Trello, ClickUp, Asana or similar
 </li>
 <li>
 Comfortable building basic operational forecasts (e.g. time savings, resource allocation, deployment timelines) using Excel, Google Sheets, or Airtable
 </li>
 <li>
 Able to perform light data analysis to support decision-making and uncover process improvements
 </li>
 <li>
 Familiarity with modern workflow tools, APIs, and AI/automation ecosystems.
 
 
 </li>
 </ul>
 You Might Be a Fit If You
 
 
 <ul>
 <li>
 Speak &ldquo;client&rdquo; and &ldquo;engineering&rdquo; fluently, and know how to move fluidly between both
 </li>
 <li>
 Get a thrill from solving messy execution problems with fast, working solutions
 </li>
 <li>
 Know what it takes to launch enterprise-ready systems&mdash;UAT, handoffs, data flows, change management, etc.
 </li>
 <li>
 Love writing clear specs, asking pointed questions, and making decisions quickly
 </li>
 <li>
 Have a bias for action, clarity, and accountability
 </li>
 <li>
 Are comfortable being the go-to person for getting things over the line
 
 
 </li>
 </ul>
 This is a remote position based out of Pakistan.
 
 
</div>

Agentic Execution Lead (Technical Project Manager)

Ignite Visibility

<div><div><div><div><div>Solution Architect II or III - Fully Remote
About the Role
As aSolution Architect IIat Ignite Visibility, you won't just follow instructionsyou'll define the technical vision. You'll have the autonomy to shape your own work, generate new frameworks, and set the architectural direction for complex, high-impact projects. We're aU.S. marketing agency, and we are looking for a strategic thinker who can translate broad business direction into innovative, scalable solutions.
The Solutions Architect (SA) ensures technical clarity and feasibility across the full lifecycle of a client engagement, from early discovery and sales conversations through delivery.
This role operates at the intersection of Sales, Engineering, and Client leadership, defining the architectural direction for projects and ensuring that proposed solutions are technically sound, realistically scoped, and aligned with business goals.
The SA works closely with delivery teams to establish system architecture, identify risks early, and ensure engineering teams have a clear technical foundation before execution begins. While not a day-to-day development role, the SA may validate architecture through spikes, technical exploration, and proof-of-concept work when needed.
This role is fully remote internationally.
What You'll Do<ul><li>
Participate in technical discovery and support solution scoping during pre-sales.</li><li>
Define high-level system architecture and technical approach for engagements.</li><li>
Evaluate integrations, APIs, infrastructure, and third-party tools.</li><li>
Identify technical risks, dependencies, and feasibility constraints early.</li><li>
Provide structured technical input for estimation and planning.</li><li>
Define milestone-level delivery structure before sprint execution begins.</li><li>
Lead technical handoff from sales to delivery teams.</li><li>
Support technical client conversations and architectural decision-making.</li></ul>
Who You Are<ul><li>
Visionary:You see the big picture and can chart a path to get there.</li><li>
Innovative:You don't just follow patternsyou create new ones.</li><li>
Strategic &amp; Practical:You balance long-term thinking with real-world execution.</li><li>
Communicator:You can translate complexity into clarity for any audience.</li></ul>
Qualifications<ul><li>
Bachelor's degree in Computer Science, IT, or a related field (Master's degree a plus)</li><li>
7+ years of experience in solution architecture or related roles (software development, DevOps, systems engineering)</li><li>
3-5 years of hands-on experience in solution design and implementation, with deep expertise in a specific domain (cloud computing, security, etc.)</li><li>
Proven track record of leading and executing complex technical projects</li><li>
Mastery of cloud computing, enterprise architecture, and IT security</li><li>
Strong ability to generate innovative solutions and develop new approaches</li><li>
Exceptional analytical and strategic thinking skills</li><li>
Certification in solution architecture (AWS/Azure Solutions Architect, Google Cloud Professional Cloud Architect)</li><li>
Experience with enterprise integration patterns and best practices</li><li>
Hands-on experience with cloud platforms (AWS, Azure, Google Cloud)</li><li>
Strong understanding of microservices architecture and containerization (Docker, Kubernetes)</li><li>
Familiarity with compliance and regulatory requirements (GDPR, HIPAA, etc.)</li><li>
Experience with automation and orchestration tools</li><li>
Strong leadership and influencing skills</li><li>
Ability to manage stakeholder expectations and deliver high-quality solutions on time and within budget</li></ul>
Why Join Ignite Visibility?<ul><li>
Fully remote positionwork from anywhere in LATAM</li><li>
Opportunity to define your own roadmap and shape the technical vision</li><li>
Collaborative, innovative environment focused on professional growth</li><li>
Competitive compensation</li><li>
Work with a U.S.-based, award-winning digital marketing agency</li><li>
Two-time Landy Award Winner</li><li>
Inc. 5000 Fastest-Growing Companies (2017-2025)</li><li>
Named Best Places to Work in San Diego (2017, 2020, 2023, 2025)</li></ul>
If you're ready to lead, innovate, and architect solutions that make an impact, we'd love to hear from you.</div></div></div></div></div><div></div>

Solutions Architect III - Remote

Devsinc

<div>
 We are seeking a Senior Developer to design and deliver scalable, cloud-native enterprise solutions that integrate modern AI and event-driven architectures. This position is ideal for a proactive, self-starting engineer with a passion for cloud technologies, quality engineering practices, and leveraging AI-assisted tools to accelerate development. The successful candidate will combine strong technical depth with ownership discipline, innovation, and clear communication
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Architect, develop, and maintain cloud-native enterprise applications / microservices using Python, Node.js, and TypeScript, ensuring performance, scalability, and resilience
 </li>
 <li>
 Design and implement event-driven architectures utilizing serverless components, messaging systems, and microservices for high availability and fault tolerance. Utilize AI-assisted development tools such as Cursor, Cloud, and Manus to optimize efficiency, accuracy, and delivery speed
 </li>
 <li>
 Demonstrate a proven ability to leverage both open-source and paid AI libraries, frameworks, and natural language models (NLMs) to enhance application capabilities and productivity
 </li>
 <li>
 Uphold high code ownership standards through disciplined documentation, unit testing, and maintainable design patterns. Manage release processes and DevOps pipelines to ensure smooth delivery and deployment, employing CI/CD best practices
 </li>
 <li>
 Ensure solutions adhere to cybersecurity and compliance requirements, with proper authentication and access management
 </li>
 <li>
 Collaborate effectively with cross-functional teams while maintaining autonomy and initiative in daily development
 </li>
 <li>
 Stay current on emerging AI, cloud, and software engineering trends to drive continuous innovation
 </li>
 <li>
 Act as a self-starter with low management overhead, consistently delivering high-quality outcomes with minimal supervision
 
 
 </li>
 </ul>
 
 Required Skills and Experience
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
 </li>
 <li>
 5+ years of professional software development experience, including 3+ years in power application development or similar enterprise roles
 </li>
 <li>
 Strong expertise in Python, Node.js, and TypeScript, with a background in cloud-native solution development
 </li>
 <li>
 Solid understanding of event-driven architectures, including message queues, asynchronous processing, and serverless designs
 </li>
 <li>
 Practical experience with AWS infrastructure (Lambda, ECS, SQS, DynamoDB, API Gateway, RDS, CloudFormation, IAM)
 </li>
 <li>
 Hands-on experience in DevOps, including CI/CD, containerization (Docker, Kubernetes), and source control (Git)
 </li>
 <li>
 Demonstrated success using AI-assisted development environments (Cursor, Cloud, Manus) and applying AI/ML frameworks or NLMs to application features
 </li>
 <li>
 Strong grounding in cybersecurity, data protection, and secure cloud development principles
 </li>
 <li>
 Excellent communication, problem-solving, and documentation skills. Proven record as an independent, self-driven professional with proactive initiative and accountability
 </li>
 <li>
 Experience with enterprise applications data models, reporting, APIs and integration across multiple applications
 </li>
 <li>
 Critical thinking, data analysis skills and discovery of required information to develop new services
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Provident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch &amp; Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.
</div>

Cloud Native/ SSE Python

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