ai architect

VGA Holdings

<p><b>About the Role </b></p><p>We are looking for an experienced AI Solutions Architect / Developer to join our team and lead the design, implementation, and continuous improvement of AI-powered features within our education platform. This is a hands-on technical role requiring someone who can work independently, review existing AI implementations, identify architectural improvements, and build scalable AI solutions from the ground up.</p><p>The ideal candidate is comfortable working across the entire AI stack&mdash;from prompt engineering and RAG pipelines to model training, embeddings, vector databases, backend integration, and production deployment.</p><p><b>Key Responsibilities:</b></p><ul><li>Review and improve our existing AI implementation.</li><li>Identify architectural issues, performance bottlenecks, and security vulnerabilities.</li><li>Design efficient AI workflows that minimize token usage and API costs.</li><li>Build and maintain Retrieval-Augmented Generation (RAG) pipelines.</li><li>Integrate Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, Qwen, or similar models into our in-house platform.</li><li>Design prompt engineering strategies and evaluation frameworks. Implement human-in-the-loop feedback systems for continuous AI improvement.</li><li>Build and maintain embedding pipelines and vector databases.</li><li>Develop AI services, APIs, and backend integrations.</li><li>Evaluate new AI technologies and recommend improvements.</li><li>Document AI architecture, workflows, implementation details, and best practices. Collaborate with software developers, QA engineers, and product teams to deliver production-ready AI solutions.</li><li>Troubleshoot production AI issues and optimize response quality, latency, and cost.</li></ul><p><b>Experience:</b></p><ul><li>5+ years of software development experience</li><li>with at least 2 years of hands-on experience building production AI systems.</li></ul><p><b>Required Skills: </b></p><p><b>Artificial Intelligence</b></p><ul><li>Large Language Models (LLMs)</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>Embeddings</li><li>Vector Databases</li><li>Semantic Search</li><li>AI Evaluation</li><li>AI Guardrails</li><li>AI Safety</li><li>AI Observability</li></ul><p><b>Model Development </b></p><ul><li>Fine-tuning</li><li>LoRA / QLoRA</li><li>Model Training</li><li>Dataset Preparation</li><li>Synthetic Data Generation</li><li>Model Evaluation</li><li>Reinforcement Learning from Human Feedback (RLHF) knowledge is a plus</li></ul><p><b>AI Frameworks</b></p><ul><li>Experience with one or more:</li><li>LangChain</li><li>LlamaIndex</li><li>DSPy</li><li>CrewAI</li><li>AutoGen</li><li>Semantic Kernel</li></ul><p><b>Vector Databases</b></p><p>Experience with one or more:</p><ul><li>pgvector</li><li>Pinecone</li><li>Weaviate</li><li>Qdrant</li><li>Milvus</li><li>ChromaDB</li></ul><p><b>Backend Development</b></p><p>Experience with:</p><ul><li>Python (preferred)</li><li>FastAPI</li><li>REST APIs</li><li>PostgreSQL</li><li>SQL</li><li>Docker</li><li>Git</li></ul><p><b>Cloud &amp; Infrastructure</b></p><p>Experience with:</p><ul><li>AWS</li><li>Google Cloud</li><li>GPU deployments</li><li>Docker</li><li>Kubernetes (preferred)</li></ul><p><b>What We're Looking</b> <b>For</b>:</p><p>The successful candidate should be able to:</p><ul><li>Work independently with minimal supervision.</li><li>Take ownership of AI architecture and implementation.</li><li>Review existing code and improve it.</li><li>Identify bugs before they become production issues.</li><li>Write clean, maintainable, and well-documented code.</li><li>Think critically and propose better technical solutions.</li><li>Communicate technical concepts clearly with both technical and non-technical stakeholders.</li><li>Work effectively both independently and within a collaborative development team.</li><li>Stay up to date with the rapidly evolving AI ecosystem.</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience building AI products, preferably for Education (EdTech).</li><li>Experience with multi-agent AI systems. Knowledge of child psychology or educational assessment.</li><li>Experience deploying open-source LLMs locally.</li><li>Experience with Hugging Face ecosystem.</li><li>Experience building AI evaluation pipelines. Knowledge of MCP (Model Context Protocol). Experience with speech recognition (Whisper), OCR, or computer vision.</li></ul><p>Interested Applicants can share their CV via;</p><ul><li>email: info@vgaholdings.com</li><li>WhatsApp: +973 6663 3334 <b>(NO CALLS)</b></li></ul><p>Work Location: In person</p>

AI Solutions Architect

Reverse

<div><p>Our client is a global management consulting firm and leading advisor on business strategy. It&rsquo;s one of the MBBs.
<br>
They support our clients&rsquo; total digital transformation through technology, design, cybersecurity, and risk management &amp; financial engineering capabilities. And together their interdisciplinary team of technical experts enable customized technical solutions and accelerate delivery value through new business platforms, application consolidations, and major system implementations.
<br>
<br>
We are looking for an <b>AI TECH ARCHITECT</b> who will collaborate with colleagues on <b>national and international projects</b>, independently structuring project modules and supporting younger project members.
<br>
If you want to turn the challenges of digitization into the solutions of the future, join the team in tackling the core IT issues of leading global companies. Deploy customized platforms, architectures, strategies, and organizations to leverage the digital potential of our customers and drive true innovation, with state-of-the-art technologies such as cloud computing, AI, blockchain, microservices, and containerization.
<br>
You'll work on several projects closely with professional colleagues who are cross-functional on projects. The <b>industries</b> where you could work on will be Oil&amp;Gas, Energy, Public sector, Technology media e Telecommunications, Financial Institutions, Banking &amp; Assurance, Private equity.
<br>
<br>
<b>You are good at:</b><br>
<br>
</p><ul><li>Shaping the digital transformation of globally leading companies, ensuring their success by evaluating their clients' digital capabilities and performing feasibility studies;</li>
<li>Managing small, agile development teams in strategic IT implementation programs, establishing modern practices like DevOps and CI/CD, and being responsible for the technical implementation of crucial digital requirements such as cyber resilience;</li>
<li>Analysing, developing, and optimizing cutting-edge, customized IT architectures while applying your comprehensive understanding of legacy IT, enterprise solutions, and current market developments such as cloud computing, microservices and blockchain.</li><br>
</ul><p><br>
This position is open to professionals with verticalization in <b>Cloud</b> or<b> Data</b> (e.g., with previous employers such as Amazon/ AWS, Azure/ Microsoft, and Google Cloud or cloud transformation projects in consulting).
<br>
<br>
<b>Requirements</b>:<br>
<br>
</p><ul><li>Degree in computer science, (business) informatics, or a related discipline;</li>
<li>Between 2 to 5 years of relevant experience in IT Consulting or software development;</li>
<li>Knowledge of modern technologies such as machine learning, cyber resilience, DevOps, agile methods, AI, and robotics aren't just buzzwords, but essential to sustainable IT architectures;</li>
<li>Broad technical expertise and interest in technology trends;</li>
<li>Feeling particularly comfortable in interdisciplinary teams and global contexts;</li>
<li>Experience with hyperscalers, with additional certifications from AWS, Azure, GCP, AliCloud, or TencentCloud;</li>
<li>Good at understanding and communicating complex topics in English (Arabic is a plus);</li>
<li>Flexibility and willingness to travel to our client locations in the Middle East and beyond).</li><br>
</ul><p><br>
If you fit the description above, you're hunger to get involved in one of the world's leading companies and eager to gain international experience, then apply below! Add your individual strengths to their unique team, who are always there to support you. Together with them and their clients, you&rsquo;ll turn digital visions into reality!
<br>
<br>
<b>Workplace</b>: Doha. <b>RELOCATION REQUESTED.</b> Full remote is not allowed.
<br>
<b>VISA</b>: The company will handle the entire VISA application process once the decision to proceed with the candidate's hiring has been made.
<br>
<b>Compensation scheme</b>:
<br>
tax-free annual salary (starting from 273.000 QAR)
<br>
variable component (MBOs)
<br>
relocation allowance
<br>
company-paid housing and other benefits.</p></div>
<br><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2>
<p>Relocation is required</p>
 </div><ul><li>(starting from 273.000 QAR)
 </li><li>On-site
 </li><li>Permanent
 </li><li>Doha</li></ul></div>

AI TECH ARCHITECT - DOHA

Tesla

<div><b>What to Expect</b><div><p>
The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla&rsquo;s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.<br>
<br>
As a key member of the Tesla AI hardware team, the AI/ML Compute Architect will drive the innovation and optimization of computing architectures tailored for artificial intelligence and machine learning applications. This role involves visionary hardware-software co-design, accelerator development, and distributed systems engineering to create efficient, scalable solutions that power cutting-edge AI workloads. The ideal candidate is a strategic thinker with proven expertise in balancing performance, power, and scalability, delivering simple yet high-impact implementations that accelerate Tesla's AI initiatives.</p></div><b><br>
What You'll Do</b><div><ul><li>
Design and architect comprehensive end-to-end compute infrastructure for AI/ML pipelines, encompassing hardware specifications, system topologies, and custom accelerators</li><li>
Collaborate closely with system architects, micro architects, IP vendors, and program management to guide SoC (System-on-Chip) development from initial concept through to production-ready implementation</li><li>
Optimize the interplay between compute, storage, and interconnect to maximize throughput, minimize latency, and reduce energy consumption across training and inference scenarios</li><li>
Partner with ML model designers, compiler engineers, and software developers to build intuitive tools, frameworks, and abstractions that streamline the deployment and scaling of AI/ML workloads</li><li>
Lead performance modeling initiatives, simulating architecture and microarchitecture tradeoffs to inform design decisions and predict system behavior under real-world conditions</li><li>
Evaluate emerging technologies, such as novel accelerators or interconnect fabrics, and prototype innovative architectures to anticipate and address evolving AI compute demands</li><li>
Maintain expertise in the latest advancements in AI workloads, domain-specific languages (e.g., for ML optimization), computer architecture principles, and advanced simulation methodologies</li></ul></div><br>
<b>
What You'll Bring</b><div><ul><li>
Degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent in experience and evidence of exceptional ability</li><li>
Deep knowledge of CPU, GPU, and ML accelerator microarchitectures, including their design principles and performance characteristics</li><li>
Strong understanding of Large Language Models (LLMs), transformer-based architectures, and techniques for their training, inference, quantization, and optimization</li><li>
Proficiency in analyzing physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware systems</li><li>
Exceptional problem-solving abilities, with a track record of dissecting complex technical challenges and devising innovative, practical solutions</li><li>
Hands-on experience with deep learning frameworks like PyTorch, JAX, Pallas, or similar tools for model development and optimization</li><li>
Excellent interpersonal and communication skills, enabling effective collaboration across diverse teams, from leadership to individual contributors</li><li>
Prior experience in performance analysis, including the use of simulation frameworks (e.g., gem5, SST) to model and benchmark systems</li><li>
Ability to work on-site at Tesla&rsquo;s Palo Alto office, contributing to a fast-paced, collaborative environment</li><li>
Proficiency in programming languages such as C/C++ and Python, with applications in hardware simulation, modeling, or system-level software</li></ul></div><br>
<b>
Compensation and Benefits</b><div>
Benefits</div><div><p>
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:</p>
<ul><li>Medical plans &gt; plan options with $0 payroll deduction</li>
<li>Family-building, fertility, adoption and surrogacy benefits</li>
<li>Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution</li>
<li>Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA</li>
<li>Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li>
<li>401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits</li>
<li>Company paid Basic Life, AD&amp;D</li><li>
Short-term and long-term disability insurance (90 day waiting period)</li>
<li>Employee Assistance Program</li>
<li>Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays</li>
<li>Back-up childcare and parenting support resources</li>
<li>Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft &amp; legal services, and pet insurance</li>
<li>Weight Loss and Tobacco Cessation Programs</li>
<li>Tesla Babies program</li>
<li>Commuter benefits</li>
<li>Employee discounts and perks program</li>
</ul></div><div>Expected Compensation</div><div>
$176,000 - $420,000/annual salary + cash and stock awards + benefits<p>
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</p></div><br>
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.<br>
<br>
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

AI Compute Architect, AI Hardware

pointer infotech L.L.C

<p><b>Overview</b></p><p>Join our innovative team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform data into actionable insights. In this dynamic role, you will design, implement, and optimize AI models and machine learning frameworks to solve complex problems across various domains. Your expertise will drive the deployment of scalable AI systems, leveraging big data technologies and cloud services to deliver impactful results. This position offers an exciting opportunity to work with advanced tools and methodologies in a collaborative environment dedicated to pushing the boundaries of AI innovation.</p><p><b>Responsibilities</b></p><ul><li><b>Job Summary:</b></li><li>We are looking for an experienced AI Engineer / Senior AI Architect with strong expertise in Agentic AI, Conversational AI, and AI solution development. The ideal candidate will have hands-on experience building AI solutions across Microsoft and Google ecosystems.Key Skills &amp; Responsibilities:Develop Agentic AI solutions, conversational agents, and virtual assistants.Hands-on experience with Microsoft Foundry and Azure AI services.Experience with Azure AI Search, Azure AI Language, Power Platform, and Copilot Studio.Develop AI conversational solutions using Google Dialogflow CX, Google Conversational Agents, and Google CCAI Services.Build and integrate APIs and web services with AI applications.Experience with NLP, Generative AI, LLMs, and AI/ML.Develop and maintain SharePoint Online solutions using Microsoft Power Platform.Train, deploy, monitor, and optimize AI models.Create Looker dashboards for monitoring AI agent performance.Strong programming skills in C#, .NET, JavaScript, or Python.Ensure AI solutions follow security, privacy, governance, and responsible AI practices.Collaborate with business SMEs and cross-functional technical teams.Lead AI Proof of Concept (POC) initiatives and present AI solutions to stakeholders.Required Experience:5+ years of IT experience.2+ years of AI Conversational Agent implementation experience.1+ year of Power Platform experience.Mandatory: Agentic AI development using Microsoft Foundry.Mandatory: SharePoint Online + Microsoft Power Platform.Mandatory: Google Conversational Agents / Dialogflow CX / Google CCAI Services.Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.*</li><li>No Visa sponsorship is available this time</li></ul><p>Pay: $65.00 - $70.00 per hour</p><p>Work Location: In person</p>

AI Engineer

University of California - San Francisco

<div><p>Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union.
</p><p>The Oracle Cloud AI Architect is responsible for designing, implementing AI-enabled solutions, analytics, automation, and enterprise applications across Oracle Cloud Human Capital Management (HCM), Supply Chain Management (SCM), Financials (FIN), Procurement, and related systems. This role partners with business stakeholders, operational leaders, and technical teams to design and optimize scalable solutions that improve business operations, decision-making, and user experience across the enterprise.
</p><p>The incumbent applies advanced knowledge of Oracle Cloud architecture, enterprise business processes, data management, and AI-enabled technologies to support intelligent automation, predictive analytics, reporting, workflow optimization, and enterprise data initiatives. Responsibilities include leveraging Oracle Cloud technologies such as OTBI, BI Publisher, Smart View, Fusion Data Intelligence (FDI), Fusion Analytics Warehouse (FAW), Oracle AI services, and related analytics platforms to develop integrated and secure enterprise solutions aligned with organizational goals.
</p><p>This role collaborates closely with Business Systems Analysts, ERP functional teams, developers, integration teams, and leadership to support system enhancements, enterprise integrations, data governance, testing, upgrades, and continuous improvement initiatives. The position also evaluates emerging Oracle Cloud and AI capabilities, promotes self-service analytics and automation, and supports operational excellence through scalable, compliant, and data-driven enterprise solutions.
</p><p>This position includes regular onsite work, typically 1&ndash;3 days per month. The exact schedule and frequency may be adjusted as needed to meet departmental and operational demands<br>
</p><p></p><p><b>Department Overview
</b></p><p>The Business Informatics &amp; Analysis team is responsible for delivering functional expertise, business process analysis, and application support across the enterprise&rsquo;s Oracle Cloud ERP ecosystem. This team partners with business stakeholders, technical, and cross-functional teams to ensure that Oracle ERP modules&mdash;such as Finance, Procurement, Projects, Research, Supply Chain, and Human Capital Management (HCM)&mdash;are effectively configured, optimized, and aligned with organizational objectives.
</p><p>The team provides both strategic and operational support, including requirements gathering, solution design, process improvement, system configuration, testing, reporting, and training. Their work ensures that Oracle Cloud ERP and the boundary systems it integrates with enable accurate, efficient, and scalable business operations.</p></div><p></p>
<br><div><p><b>REQUIRED QUALIFICATIONS
</b></p><ul><li>Bachelor's degree in a related area and/or equivalent experience/training.
</li><li>5+ years of experience in business transformation, value engineering, strategy, or enterprise advisory roles, preferably in healthcare or higher education environments.
</li><li>5+ experienced with Oracle Fusion applications, analytics, or AI platforms
</li><li>3+ years of dimensional and relational data modeling experience
</li><li>2+ years building and delivering LLM/GenAI solutions
</li><li>Ability to understand and model complex knowledge-intensive processes Oracle ERP data structures and business processes (Finance, SCM, Research or HCM)
</li>Familiarity with highly complex data quality and governance issues and requirements.<br>
<li>
</li></ul><p></p><p><b>PREFERRED QUALIFICATIONS
</b></p><ul><li>Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Interpersonal and communications skills to work with both technical and non- technical personnel at various levels in the organization.
</li><li>3+ years of experience in relational database, SQL, or system development life-cycle project; and/or equivalent experience/training.
</li><li>1+ year of experience in an organization comparable to UCSF in terms of budget, size, complexity, scope of operation, and accounting systems
</li><li>Knowledge of supply chain, human capital management, or finance systems and processes within a healthcare or higher education environment
</li><li>Certifications
</li><li>Oracle Certifications
</li><li>Lean Six Sigma Black Belt (LSSBB)
</li><li>Project Management Professional (PMP)
</li><li>Certified Business Analysis Professional (CBAP)</li></ul></div>
<br><div><div><b>About UCSF<br>
</b></div><div></div><br>
<div>The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world&rsquo;s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.<br>
</div><div></div><br>
<div><b>Pride Values<br>
</b></div><div></div><br>
<div>UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence &ndash; also known as our PRIDE values .<br>
</div><div></div><br>
<div>In addition to our PRIDE values, UCSF is committed to equity &ndash; both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here .<br>
</div><div></div><br>
<div>Join us to find a rewarding career contributing to improving healthcare worldwide.<br>
</div><div></div><br>
<div><b>Equal Employment Opportunity<br>
</b></div><div></div><br>
<div><i>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.<br>
</i></div><div></div><br>
<div><div><b>Salary Information<br>
</b></div><div></div><br>
<div>The final salary and offer components are subject to additional approvals based on UC policy.<br>
</div><div></div><br>
<div>Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.<br>
</div><div></div><br>
<div>To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</div></div></div><div></div>

Oracle AI Forward Engineer

EPAM Systems

<div><p>We're looking for a <b>Lead AI Engineer </b>to join our team in <b>Doha, Qatar,</b> in an <b>onsite working mode</b>.</p><p>
In this role, you will lead the design and implementation of AI-driven strategies, architectures and operating models, enabling engineering teams to transition to spec-driven and agentic AI delivery methods. This is a critical position to influence and drive AI-assisted development, ensuring scalable implementations, governance and measurable business outcomes. Your expertise will shape AI adoption across the organization, balancing innovation with compliance, security and operational integrity.</p><p><b>
Responsibilities</b></p><ul><li>
Architect and deploy token-efficient AI search and retrieval systems optimized for cost, relevance and performance</li><li>
Advise on AI adoption strategies, including when to apply RAG, agents, copilots or traditional engineering approaches</li><li>
Define and implement spec-driven development practices with governance and reusable standards</li><li>
Design KPIs to measure productivity gains, quality improvements and AI adoption maturity</li><li>
Build end-to-end AI pipelines, including embeddings, vector stores, retrieval layers, LLM integrations and streaming inference</li><li>
Develop operational strategies for agentic systems, including rollout governance, versioning and observability</li><li>
Partner with product owners and engineering leads to define AI adoption roadmaps and enable workforce capability uplift</li><li>
Drive training, playbooks and mentorship to accelerate workforce readiness in AI-enabled engineering workflows</li><li>
Implement responsible AI practices, ensuring compliance with security, safety and ethical guidelines</li></ul><p><b>
Requirements</b></p><ul><li>
Bachelor's degree in Computer Science, Software Engineering or related field</li><li>
4+ years of experience building production AI systems or 2+ years in production-level LLM/RAG solutions</li><li>
Proven track record leading AI transformations, strategy design and adoption initiatives</li><li>
Deep expertise in RAG architectures: embeddings, vector DBs, retrieval strategies</li><li>
Strong proficiency with Python, familiarity with Java and API protocols (REST/gRPC)</li><li>
Experience with agent frameworks and implementing agentic workflows in enterprise software delivery</li><li>
Practical knowledge of Kubernetes, cloud services, CI/CD pipelines and deployment automation</li><li>
Hands-on experience in integrating LLM providers and self-hosted models into scalable architectures</li><li>
Knowledge of AI observability, testing frameworks, model versioning and prompt governance</li></ul><p><b>
We offer</b></p><ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

Lead AI Engineer

Capital One

<div>Lead Machine Learning Engineer
<p></p><p>As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale. You&rsquo;ll lead the detailed technical design, development, and implementation of core agentic architectures and multi-agent workflows using emerging technologies. You&rsquo;ll focus on system-level architectural design, develop and review complex models and application code, and ensure the high availability, performance, and security of our generative AI applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in generative and agentic machine learning engineering.
</p><p></p><p><b>What you&rsquo;ll do in the role:
</b></p><ul><li><p>Architect Agentic Platforms: Design, develop, and scale core agentic engines and multi-agent workflow solutions, enabling seamless composition of conversational and business automation workflows.
</p></li><li><p>Drive AI Evaluation &amp; Trust: Build and integrate scalable evaluation (Evals) and observability frameworks into solutions to ensure model predictability, performance monitoring, and mitigation of model risk.
</p></li><li><p>Deliver High-Impact Use Cases: Partner with cross-functional product and business teams to deploy production AI solutions, including next-generation consumer AI experiences, intelligent recommendation engines, and advanced conversational assistants.
</p></li><li><p>Enforce Enterprise Guardrails: Ensure all AI/ML applications strictly adhere to robust data privacy standards, regulatory postures, and framework auditability/explainability.
</p></li><li><p>Translate Practical Research: Stay abreast of practical advancements in LLM optimization, retrieval-augmented generation (RAG), and multi-agent design patterns, judiciously applying these novel techniques to production systems.
</p></li><li><p>Technical Leadership &amp; Code Excellence: Provide technical direction, architectural oversight, and rigorous code reviews for engineering teams, fostering a culture of modern engineering excellence.
</p></li></ul><p></p><p><b>Basic Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s Degree
</p></li><li><p>At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</p></li><li><p>At least 4 years of experience programming with Python, Scala, or Java
</p></li></ul><p></p><p><b>Preferred Qualifications:
</b></p><ul><li><p>Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
</p></li><li><p>3+ years of experience with GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex) and Vector Databases
</p></li><li><p>3 years of experience building, scaling, and optimizing Large Language Model (LLM) or GenAI orchestration systems in production
</p></li><li><p>2+ years of experience building automated evaluations (Evals) and observability pipelines for LLMs
</p></li><li><p>3+ years of on-the-job experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
</p></li><li><p>Experience deploying AI solutions within a strictly regulated environment, incorporating data privacy and model risk governance
</p></li><li><p>Demonstrated ability to lead technical architecture design and provide deep technical guidance to engineering teams
</p></li><li><p>Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
</p></li><li><p>ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents
</p></li></ul><p></p><p><b><i>At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
</i></b></p><p></p><p>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
</p><p></p>Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer<p><br>
</p><p></p><br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<p>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
</p><p></p>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
<p></p><p>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
</p><p></p>This role is expected to accept applications for a minimum of 5 business days.
<p></p>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
<p></p><p>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
</p><p></p><p>For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
</p><p></p><p>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
</p><p></p><p>Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Lead Machine Learning Engineer

Search 1480+ Ai architect jobs near you this August. New roles added regularly across leading industries. Apply today.