ai architect

Datamatics Technologies

<div>
 Job Title: AI Architect
 
 
 Level:
 
 Senior / Principal
 
 
 Employment Type:
 
 Full-time
 
 
 Experience
 
 : 6+ Years
 
 
 Location
 
 : Islamabad (Onsite)
 
 Role Overview
 
 We are seeking a
 
 high-level AI Architect
 
 to serve as a
 
 Senior Solution Architect
 
 for our real-time automation and intelligence ecosystem. This role is both
 
 strategic and hands-on at the architectural level
 
 , acting as a technical mentor and trusted advisor to engineering teams.
 
 
 You will be responsible for defining and evolving the
 
 enterprise architecture
 
 that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 
 Key Responsibilities
 
 
 Solution Mentorship &amp; Technical Leadership
 
 
 <ul>
 <li>
 
 Act as a technical authority and mentor for engineering teams
 
 </li>
 <li>
 
 Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
 
 </li>
 <li>
 
 Review designs and implementations to ensure architectural consistency and technical excellence
 
 </li>
 </ul>
 
 
 Architecture &amp; Gap Analysis
 
 
 <ul>
 <li>
 
 Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
 
 </li>
 <li>
 
 Design and propose robust, enterprise-grade architectural improvements
 
 </li>
 <li>
 
 Define target-state architectures aligned with long-term business and AI strategy
 
 </li>
 </ul>
 
 
 System Orchestration &amp; Integration
 
 
 <ul>
 <li>
 
 Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
 
 </li>
 <li>
 
 Ensure seamless, reliable data flow across heterogeneous enterprise systems
 
 </li>
 <li>
 
 Define standards for system interoperability, resilience, and observability
 
 </li>
 </ul>
 
 
 AI/ML Infrastructure &amp; Enablement
 
 
 <ul>
 <li>
 
 Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
 
 </li>
 <li>
 
 Enable large-scale automation, intelligent decisioning, and near-real-time inference
 
 </li>
 <li>
 
 Ensure architectures support model lifecycle management, scalability, and performance
 
 </li>
 </ul>
 
 
 Technical Governance &amp; Quality
 
 
 <ul>
 <li>
 
 Ensure architectural designs align with industry standards, security requirements, and scalability goals
 
 </li>
 <li>
 
 Provide high-level design documentation, reference architectures, and technical blueprints
 
 </li>
 <li>
 
 Support roadmap definition and continuous architectural evolution
 
 </li>
 </ul>
 Technical Requirements
 <ul>
 <li>
 
 
 Expert-level experience with distributed systems
 
 , including:
 
 <ul>
 <li>
 
 Real-time stream processing
 
 </li>
 <li>
 
 Distributed storage platforms
 
 </li>
 <li>
 
 Low-latency analytical databases
 
 </li>
 </ul>
 </li>
 <li>
 
 Proven experience designing
 
 enterprise-scale, high-throughput data architectures
 
 
 </li>
 <li>
 
 Strong background in
 
 event-driven and real-time processing ecosystems
 
 
 </li>
 <li>
 
 Experience supporting
 
 AI/ML platforms
 
 , data fabrics, and automation frameworks
 
 </li>
 <li>
 
 Demonstrated ability to translate complex technical challenges into scalable architectural solutions
 
 </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
 <li>
 
 Strong
 
 mentorship and coaching experience
 
 with senior engineering teams
 
 </li>
 <li>
 
 Ability to influence architectural direction across multiple teams and stakeholders
 
 </li>
 <li>
 
 Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
 
 </li>
 <li>
 
 Strategic mindset with a focus on long-term platform evolution
 
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 
 Experience with cloud-native and hybrid architectures
 
 </li>
 <li>
 
 Exposure to MLOps, DataOps, or platform engineering practices
 
 </li>
 <li>
 
 Experience in regulated or large enterprise environments
 
 </li>
 </ul>
 Why Join
 <ul>
 <li>
 
 Shape the
 
 architectural foundation of advanced AI and automation platforms
 
 
 </li>
 <li>
 
 Influence enterprise-scale technical decisions with long-term impact
 
 </li>
 <li>
 
 Work in a senior, high-visibility role with strong ownership and autonomy
 
 </li>
 </ul>
</div>

AI Architect

Starlink Qatar

<div>
 
 
 Job Title: AI Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 Design and deliver end-to-end AI solutions, with a strong focus on building business cases tailored to the sports, sports performance, education, and medical industries. The role involves leveraging machine learning, natural language processing, and data analytics to develop scalable, high-impact AI systems that enhance operational efficiency and domain-specific outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
 </li>
 <li>
 Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.
 </li>
 <li>
 Align AI solutions with organizational priorities across sports, healthcare, and education sectors.
 </li>
 </ul>
 
 
 Enterprise System &amp; Data Integration
 
 
 <ul>
 <li>
 Integrate cloud-based AI services with enterprise systems such as ERP, CRM, medical, and sports performance platforms.
 </li>
 <li>
 Enable seamless connectivity between structured data (databases, KPIs) and unstructured data (documents, video, medical records).
 </li>
 <li>
 Utilize APIs, middleware, and automation tools to streamline data pipelines and workflows.
 </li>
 </ul>
 
 
 AI Governance &amp; Risk Management
 
 
 <ul>
 <li>
 Ensure compliance with data protection regulations such as GDPR, HIPAA, and relevant local laws.
 </li>
 <li>
 Monitor AI systems for bias, transparency, and explainability.
 </li>
 <li>
 Implement security, governance, and ethical AI best practices.
 </li>
 </ul>
 
 
 Applied AI Enablement
 
 
 <ul>
 <li>
 Deploy and customize existing AI models for practical, real-world applications.
 </li>
 <li>
 Configure conversational AI, knowledge agents, and analytics tools to support business operations.
 </li>
 <li>
 Continuously evaluate advancements in AI platforms and implement enhancements.
 </li>
 </ul>
 
 
 Stakeholder &amp; Client Management
 
 
 <ul>
 <li>
 Collaborate with internal stakeholders to identify opportunities for AI adoption.
 </li>
 <li>
 Present AI solutions with clear, measurable business value.
 </li>
 <li>
 Act as a trusted advisor for AI-driven transformation initiatives.
 </li>
 </ul>
 
 
 Performance &amp; Scalability
 
 
 <ul>
 <li>
 Optimize AI systems for performance, scalability, and reliability.
 </li>
 <li>
 Establish monitoring frameworks and continuous improvement processes.
 </li>
 <li>
 Define KPIs and track ROI for AI implementations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Minimum 8+ years of experience in Solution Architecture.
 </li>
 <li>
 At least 4 years of hands-on experience in applied AI/ML projects.
 </li>
 <li>
 Mandatory: Bilingual (Arabic speaker)
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 <ul>
 <li>
 AI-related certifications such as Microsoft Certified AI Developer/Architect.
 </li>
 <li>
 Experience with Azure AI Foundry and Google Cloud AI/ML platforms.
 </li>
 <li>
 Additional software development certifications (e.g., Microsoft Certified Developer/Architect) are a plus.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong expertise in designing and delivering AI-driven solutions.
 </li>
 <li>
 Proficiency in AI concepts, tools, frameworks, and models.
 </li>
 <li>
 Experience with solution architecture methodologies, including evaluation techniques, component modeling, and impact analysis.
 </li>
 <li>
 Solid understanding of SDLC, requirements analysis, and technical design (high-level and detailed).
 </li>
 <li>
 Hands-on experience with Azure AI Foundry for enterprise AI lifecycle management.
 </li>
 <li>
 Expertise in Google Agent Builder, SDKs for mobile agents, and multi-agent systems.
 </li>
 <li>
 Strong knowledge of Advanced Retrieval-Augmented Generation (RAG) for enterprise knowledge systems.
 </li>
 <li>
 Proficiency in data and database architecture (SQL, NoSQL, vector databases, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, and high-performance AI systems.
 </li>
 <li>
 Excellent communication skills to bridge technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

The Optimal Group

<div>
 
 JOB TITLE:
 
 AI Architect
 
 
 
 LOCATION
 
 : Dubai, UAE (On-site / Hybrid)
 
 
 
 TYPE
 
 : Full-Time
 
 
 
 SALARY
 
 : AED 25,000 - 35,000/month (DOE) + Performance Bonus
 
 
 
 About The Role
 
 
 
 We are looking for a high-calibre AI Architect to lead the design, development, and deployment of AI-driven systems and solutions across our business. This is a senior, hands-on role that sits at the intersection of strategy and execution. You will be responsible for translating business objectives into scalable AI architecture, building intelligent automation systems, and driving our AI roadmap from concept to production.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI architecture including machine learning pipelines, LLM integrations, and agentic AI systems
 </li>
 <li>
 Lead the evaluation, selection, and deployment of AI platforms, models, and tools
 </li>
 <li>
 Build and integrate AI solutions into existing infrastructure and business workflows
 </li>
 <li>
 Develop frameworks for AI governance, performance monitoring, and continuous improvement
 </li>
 <li>
 Collaborate with operations, product, and leadership teams to identify AI opportunities and prioritise delivery
 </li>
 <li>
 Research emerging AI technologies and provide strategic recommendations
 </li>
 <li>
 Ensure all AI systems comply with data security, privacy, and regulatory standards
 </li>
 <li>
 Document architecture decisions, system designs, and technical specifications
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of experience in AI/ML architecture, solutions architecture, or a related senior technical role
 </li>
 <li>
 Proven experience designing and deploying production-grade AI systems
 </li>
 <li>
 Strong proficiency in Python, and familiarity with major AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.)
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and agentic AI frameworks
 </li>
 <li>
 Cloud architecture experience: AWS, Azure, or GCP
 </li>
 <li>
 Experience with API integration, microservices, and scalable system design
 </li>
 <li>
 Strong commercial awareness &mdash; you understand how AI translates to business value
 </li>
 <li>
 Excellent communication skills &mdash; ability to present technical solutions to non-technical stakeholders
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Experience in property, construction, or facilities management sectors
 </li>
 <li>
 Familiarity with AI automation tools (n8n, Make, Zapier AI, etc.)
 </li>
 <li>
 UAE residency or existing Dubai visa
 </li>
 <li>
 Arabic language skills (not essential)
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive tax-free salary: AED 25,000 - 35,000/month
 </li>
 <li>
 Performance-based bonus
 </li>
 <li>
 High-autonomy role with direct access to senior leadership
 </li>
 <li>
 Fast-moving, execution-focused environment
 </li>
 <li>
 Opportunity to build and own the AI function from the ground up
 </li>
 </ul>
</div>

Nagarro

<div>
 
 Job Description
 
 
 
 We are seeking an
 
 AI Architecture Leader
 
 to design and govern enterprise-scale AI ecosystems for major UAE clients. This role combines
 
 technical leadership, solution design, and strategic advisory
 
 , focusing on
 
 Generative AI, agentic systems, and cloud-native engineering
 
 .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Define enterprise AI operating models, governance, and architectural standards.
 </li>
 <li>
 Lead multi-year AI transformation roadmaps and platform modernization.
 </li>
 <li>
 Architect end-to-end AI ecosystems: LLM agents, RAG workflows, multimodal AI, RLHF.
 </li>
 <li>
 Establish modular, reusable patterns for scalable and compliant AI platforms.
 </li>
 <li>
 Partner with business and tech leaders to shape AI strategy and value propositions.
 </li>
 <li>
 Conduct technical workshops, pre-sales reviews, and solution design sessions.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 AI Application Solution Design (Strong)
 </li>
 <li>
 Cloud-Native GenAI Development (Strong)
 </li>
 <li>
 Data Science on Azure (Strong)
 </li>
 <li>
 Machine Learning Solution Design (Strong)
 </li>
 <li>
 Advanced RAG Workflow Design (Strong)
 </li>
 <li>
 Hands-on Python and experience with agentic GenAI systems.
 
 
 </li>
 </ul>
 
 Nice-to-Have:
 
 
 
 <ul>
 <li>
 Experience with Compass AI services.
 </li>
 <li>
 Arabic language proficiency (verbal &amp; written).
 
 
 </li>
 </ul>
 Join us to
 
 shape enterprise AI architecture and accelerate digital transformation across the UAE
 
 .
</div>

Enterprise AI Architect

Carease Health

<div>AI Architect
About Carease Health
Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.
Role Overview
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.
What You Will Do<ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul>
What We Are Looking For<ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul>
Nice to Have<ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul>
Why Join Carease Health<ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul>
Compensation and Location<ul><li>Salary: $200,000 to $240,000 base</li><li>Performance-based bonus</li><li>Location: Lakewood, NJ and NYC</li><li>Hybrid preferred</li></ul>
How to Apply
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.
Please submit your resume and any relevant project or system experience.</div>

AI Architect Hybrid

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><div> 
What you'll build:</div> 
<div></div><ul><li>
In this role, you'll define the architecture for intelligent, enterprise-grade applications and platforms with AI built into the core design rather than added as an afterthought.</li><li>
You'll shape end-to-end solutions across application services, integration layers, data architecture, event-driven systems, security, and AI/ML components. That includes designing patterns for model integration, batch and real-time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls.</li><li>
You&rsquo;ll guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, and ensure architecture choices support both near-term delivery and long-term platform evolution.</li><li>
Your work will directly influence how quickly engineering teams can build, govern, and scale AI-enabled capabilities across products and customer scenarios.</li></ul><div></div><div> 
What you bring:</div> 
<div></div><ul><li>
You bring deep expertise in software architecture for large-scale distributed systems, including microservices, event-driven patterns, APIs, integration layers, and data platforms</li><li>
You have a strong understanding of AI and ML system architecture, including training pipelines, inference layers, model lifecycle design, and ML platform capabilities</li><li>
You have experience designing enterprise-grade generative AI solutions using LLMs, embeddings, vector databases, RAG patterns, tool use, and orchestration frameworks</li><li>
You are skilled at designing scalable and secure application architectures that integrate transactional systems, analytical platforms, and AI-powered services</li><li>
You have strong knowledge of cloud-native architecture, including containers, Kubernetes, infrastructure automation, observability, resilience, and performance engineering</li><li>
You have experience defining reference architectures, design standards, and reusable technical patterns for AI-enabled product development</li><li>
You bring a strong understanding of data architecture, governance, metadata, privacy, and access patterns required to support trustworthy AI solutions</li><li>
You evaluate build-versus-buy decisions across models, platforms, data services, and integration tooling, clearly articulating technical and business trade-offs</li><li>
You have knowledge of responsible AI, model governance, security controls, compliance requirements, and architectural guardrails for safe enterprise adoption</li><li>
You have experience leading architecture reviews, influencing engineering roadmaps, and aligning technical direction across multiple teams or product areas</li><li>
You communicate complex architectural decisions clearly to engineers, product leaders, and executive stakeholders</li></ul><div></div><div> 
About You:</div> 
<div></div><ul><li>
You bring 6+ years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems</li><li>
You think in systems, with a strong ability to connect architecture decisions to broader platform strategy and business outcomes</li><li>
You are a technical leader who influences without authority and drives alignment across teams and organizations</li><li>
You are passionate about building robust, extensible systems that stand the test of time</li><li>
You stay current with emerging technologies, particularly in AI, cloud, and distributed systems</li></ul><div></div><div> 
Where you belong:</div><div></div><div> 
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.</div><div>
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.</div><div></div><div> 
About the team</div><div>
We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.</div><div>
#LI-LP1</div><div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450270 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Confiz

<div>We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.
Key Responsibilities
<ul><li>Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</li>
<li>Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</li>
<li>Build production-ready voicebot solutions integrating real-time speech processing pipelines</li>
<li>Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</li>
<li>Design and Deploy PROD grade AI Agents that can scale up for various use cases.</li>
<li>Fine-tune large language models using various techniques.</li>
<li>Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</li>
<li>Implement evaluation frameworks and metrics for LLM outputs and conversational quality</li>
<li>Develop custom training pipelines for domain adaptation and specialized use cases</li>
<li>Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</li>
<li>Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</li>
<li>Build monitoring and observability solutions for AI systems in production</li>
<li>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</li>
<li>Experiment with emerging models and frameworks to evaluate applicability to business problems</li>
<li>Contribute to technical documentation, best practices, and knowledge sharing within the team</li>
<li>Prototype and validate new AI capabilities through POCs and pilots</li>
</ul>
Required Qualifications
<ul><li>8+ years of software engineering experience with 4+ years focused on AI/ML engineering</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)</li>
<li>Master's or PhD in Computer Science, AI/ML, or related technical field</li>
<li>Experience with open-source LLMs (Llama, Mistral, etc.) and local deployment</li>
<li>Knowledge of reinforcement learning from human feedback (RLHF) and DPO</li>
<li>Familiarity with multi-modal AI systems (vision-language models, audio-visual understanding)</li>
<li>Experience with real-time streaming architectures and WebRTC</li>
<li>Published research or contributions to open-source AI projects</li>
<li>Experience with GPU optimization and distributed training</li>
<li>Knowledge of voice biometrics, speaker diarization, or emotion recognition</li>
<li>Background in linguistics, phonetics, or speech processing</li>
<li>Deep hands-on experience with advanced RAG systems:</li>
<li>Multi-stage retrieval architectures (hybrid search, re-ranking)</li>
<li>Embedding models and vector similarity search</li>
<li>Document processing, chunking strategies, and metadata filtering</li>
<li>Query understanding and retrieval optimization</li>
<li>Multi-turn dialogue management</li>
<li>Intent recognition and slot filling</li>
<li>Context tracking and memory management</li>
<li>Integration with LLM APIs (OpenAI, Anthropic, Cohere, etc.)</li>
<li>Production experience with voicebot development:</li>
<li>Real-time audio streaming and processing</li>
<li>Voice activity detection (VAD)</li>
<li>End-to-end latency optimization</li>
<li>Integration of STT, dialogue management, and TTS components</li>
<li>Expertise in TTS and STT technologies:</li>
<li>Modern TTS systems (ElevenLabs, Soniox, Azure Speech)</li>
<li>STT engines ( Deepgram, AssemblyAI)</li>
<li>Audio preprocessing and enhancement</li>
<li>Voice cloning and customization</li>
<li>Strong experience with LLM fine-tuning:</li>
<li>Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li>
<li>Experience with MLOps tools and practices (MLflow, Weights &amp; Biases, experiment tracking)</li>
<li>Strong understanding of API design, microservices architecture, and system integration</li>
<li>Knowledge of version control, CI/CD pipelines, and deployment automation</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

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