machine learning architect

Team Moxim

<p>Job Opportunity: AI Solutions Architect</p><p><b>Location:</b> Mesaieed, Qatar<br/><b>Company:</b> Team Moxim</p><p>About Us</p><p>Team Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary <b>AI Solutions Architect</b> to design and deliver advanced AI-driven systems.</p><p>Role Overview</p><p>We are looking for an <b>AI Solutions Architect</b> to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.</p><p>Key Responsibilities</p><ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul><p>Why Join Us?</p><ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul><p>Pay: Up to QAR32,000.00 per month</p><p>Work Location: In person</p>

AI Solutions Architect

The Optimal Group

<div><p><b>JOB TITLE:</b> AI Architect</p><p><b>
LOCATION</b>: Dubai, UAE (On-site / Hybrid)</p><p><b>
TYPE</b>: Full-Time</p><p><b>
SALARY</b>: AED 25,000 &ndash; 35,000/month (DOE) + Performance Bonus</p><p></p><p><b>
ABOUT THE ROLE</b></p><p>
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.</p><p></p><p><b>
KEY RESPONSIBILITIES</b></p><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><p></p><p><b>
REQUIREMENTS</b></p><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><p></p><p><b>
NICE TO HAVE</b></p><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><p></p><p><b>
WHAT WE OFFER</b></p><ul><li>Competitive tax-free salary: AED 25,000 &ndash; 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><p></p>

AI Architect

NTT DATA

<b>Req ID:</b> 371562
<br><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
<br><br>
We are currently seeking a AI Technical Architect - Onsite to join our team in Auburn Hills, Michigan (US-MI), United States (US).
<br><br>
Job Requirements
<br><br>
Platform Architecture and Governance
<br><br>
<ul>
<li>Design the enterprise AI platform architecture spanning the LLM API gateway, GPU and compute allocation pools, sandbox provisioning, model registry, and security gate automation</li>
<li>Define infrastructure standards, API gateway patterns, and reference architectures consumed by all AI delivery towers and partner integrations</li>
<li>Establish guardrails for token metering, rate limiting, audit logging, DLP validation, SAST, DAST, dependency scanning, and model card review embedded in CI/CD</li>
<li>Review security posture across all AI workloads with mapping to NIST AI RMF, AWS Well-Architected (including the Machine Learning Lens), and applicable enterprise compliance baselines</li>
</ul>
Agentic AI and LLM Engineering
<br><br>
<ul>
<li>Architect multi-agent systems using LangGraph, LangChain, and Model Context Protocol (MCP) for complex workflow orchestration, planning, and tool use</li>
<li>Define patterns for ReAct, Chain-of-Thought, Tree-of-Thoughts, and agent-to-agent coordination across enterprise and customer-facing use cases</li>
<li>Design and optimize Retrieval-Augmented Generation (RAG) systems, embedding strategies, and semantic search across structured and unstructured enterprise data</li>
<li>Establish MLOps and AgentOps practices for deployment, evaluation, observability, and continuous improvement of agents and models in production</li>
</ul>
AWS-Native Implementation
<br><br>
<ul>
<li>Architect solutions on Amazon Bedrock, Amazon SageMaker, Amazon Q, Bedrock Agents, and Bedrock Knowledge Bases</li>
<li>Define infrastructure patterns using Amazon EKS, AWS Lambda, ECS Fargate, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, and Kendra</li>
<li>Establish CloudFormation and AWS CDK templates and Terraform modules for isolated VPC sandboxes provisioned per project and per third-party partner</li>
<li>Implement observability and FinOps using CloudWatch, AWS Cost Explorer, AWS Budgets, and chargeback reporting by team, project, and model</li>
</ul>
Salesforce and SaaS AI Integration
<br><br>
<ul>
<li>Define integration architecture with Salesforce Agentforce, Einstein, Data Cloud, and Service Cloud, including Apex, Flow, and Platform Event integration patterns with AWS-hosted agents and APIs</li>
<li>Establish governance over enterprise SaaS AI licenses, including usage tracking, renewal governance, and redundancy elimination across business units</li>
<li>Architect cross-system identity, authorization, and data exchange patterns spanning Salesforce, AWS, and partner endpoints</li>
</ul>
Stakeholder and Delivery Leadership
<br><br>
<ul>
<li>Partner with AIDO leadership, delivery tower leads, security, compliance, procurement, and program management to ensure platform adoption and consistent operating standards</li>
<li>Produce enterprise-grade architecture artifacts, decision records, and operating model documentation suitable</li>
<li>Mentor engineers across delivery towers and partner teams; lead architecture reviews and technical due diligence on partner-built systems"</li>
</ul>
Technical Experience
<br><br>
Core AI Frameworks
<br><ul>
<li>Expert proficiency with LangGraph, LangChain, and agent orchestration frameworks</li>
<li>Deep experience with Amazon Bedrock, SageMaker, and Amazon Q, including Bedrock Agents and Knowledge Bases</li>
<li>Hands-on experience with Model Context Protocol (MCP), function calling, tool use, and structured output patterns</li>
<li>Strong command of prompt engineering, evaluation harnesses, fine-tuning, and model optimization</li>
<li>Working knowledge of transformer architectures, attention mechanisms, and multi-modal systems</li>
</ul>
Machine Learning
<br><br>
<ul>
<li>Classical ML (regression, tree-based ensembles, gradient boosting, clustering) and deep learning (CNNs, RNNs, transformers) across supervised, unsupervised, and reinforcement paradigms; feature engineering, hyperparameter optimization, cross-validation, drift detection, and model evaluation;</li>
<li>end-to-end ML lifecycle on SageMaker spanning data preparation, training, deployment, monitoring, and retraining.</li>
</ul>
AWS Platform
<br><br>
<ul>
<li>SageMaker (Studio, Pipelines, Model Registry, Inference), Bedrock, EKS, Lambda, ECS Fargate, API Gateway, Step Functions</li>
<li>S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, Kendra</li>
<li>EventBridge, SNS/SQS, Kinesis, MSK</li>
<li>CloudWatch, X-Ray, CloudTrail, AWS Config, GuardDuty, Macie, Security Hub</li>
<li>IAM, KMS, PrivateLink, VPC design, and AWS Organizations governance</li>
</ul>
Salesforce and Enterprise SaaS
<br><br>
<ul>
<li>Salesforce Agentforce, Einstein, Data Cloud, Service Cloud, and Sales Cloud integration patterns</li>
<li>Apex, Flow, Platform Events, and REST/Bulk API integration with external AI services</li>
<li>Familiarity with enterprise identity providers, SSO, OAuth, and SCIM provisioning across SaaS estates</li>
</ul>
Programming and Development
<br><br>
<ul>
<li>Advanced Python with deep FastAPI experience for scalable, async API development</li>
<li>Java proficiency sufficient to integrate with existing enterprise backend services</li>
<li>Strong CI/CD background using AWS CodePipeline, CodeBuild, GitHub Actions, and Infrastructure as Code via Terraform and AWS CDK</li>
<li>Containerization with Docker and orchestration with Kubernetes (EKS)</li>
</ul>
Data and Vector Systems
<br><br>
<ul>
<li>Vector store architectures using OpenSearch, Bedrock Knowledge Bases, Pinecone, Weaviate, or Chroma</li>
<li>Embedding model selection, hybrid search, and reranking strategies</li>
<li>Graph database experience (Amazon Neptune, Neo4j) for knowledge representation</li>
<li>Data ingestion, masking, synthetic data generation, and DLP validation pipelines"</li>
</ul>
Unique Skills
<br><br>
Experience Requirements
<br><br>
<ul>
<li>20+ years in software engineering with 5+ years focused on AI/ML systems</li>
<li>3+ years hands-on experience architecting and shipping production LLM and agentic AI applications</li>
<li>Demonstrated success leading enterprise-scale AI platform builds with measurable business outcomes</li>
<li>Track record architecting scalable cloud-native systems on AWS in regulated or large-enterprise environments</li>
<li>Experience leading technical teams, mentoring engineers, and engaging executive stakeholders</li>
</ul>
Education
<br><br>
<ul>
<li>Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field</li>
<li>AWS Certified Solutions Architect Professional or AWS Certified Machine Learning Specialty preferred</li>
<li>Salesforce Certified AI Associate, AI Specialist, or Application Architect credentials is a plus</li>
</ul>
About NTT DATA
<br><br>
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in RD.
<br><br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
<br><br>
#LI-NorthAmerica

AI Technical Architect - Onsite

Gathern

<div><p><b>JOB PURPOSE:</b><br>
Lead the design, development, and scaling of advanced machine learning systems that power Gathern&rsquo;s marketplace intelligence across discovery, pricing, personalization, and trust domains. The role combines deep technical expertise with strategic thinking to translate complex data into production-grade predictive and decisioning systems. Focuses on architecting scalable ML infrastructure, ensuring model robustness and reliability, and driving measurable business impact through experimentation, optimization, and cross-functional leadership<br>
<br>
<b>KEY ACCOUNTABILITIES:</b></p><ul><li>
Architect ML systems / end-to-end pipelines / scalable and production-ready solutions</li><li>
Lead model development/pricing and ranking algorithms / improved conversion and revenue yield</li><li>
Design forecasting solutions/demand and supply models / optimized inventory and occupancy planning</li><li>
Enhance risk models/fraud detection systems / reduce cancellations and policy violations</li><li>
Establish MLOps standards/deployment and monitoring frameworks / reliable and maintainable model operations</li><li>
Drive experimentation / A/B testing and validation frameworks / data-driven product improvements</li><li>
Collaborate cross-functionally / product, engineering, and data teams / aligned metrics and business impact</li><li>
Define data strategy/feature engineering and data sourcing / improved model performance and coverage</li><li>
Ensure model governance/data quality and integrity / trusted and compliant ML systems</li><li>
Mentor team members / technical guidance and best practices / elevated team capability and output quality</li><li>
Optimize model performance/tuning and retraining strategies / sustained accuracy and efficiency</li><li>
Evaluate new approaches/algorithms and technologies / continuous innovation and competitive advantage</li><li>
Communicate insights/model performance and impact / informed stakeholder decision-making.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field</li></ul><ul><li>
5&ndash;8+ years of experience in applied machine learning, data science, or ML engineering roles</li><li>
Proven experience designing, deploying, and scaling ML systems in production environments</li><li>
Strong experience with large-scale data processing and distributed systems (e.g., Spark, Beam)</li><li>
Advanced proficiency in Python and ML frameworks such as TensorFlow or PyTorch</li><li>
Deep understanding of MLOps practices (CI/CD, model lifecycle management, feature stores, monitoring)</li><li>
Strong expertise in SQL and data engineering tools (Airflow, Kafka, DBT, etc.)</li><li>
Experience with experimentation frameworks and causal inference methods is a plus</li><li>
Strong system design and architecture skills for ML-driven products</li><li>
Excellent problem-solving skills with a strong analytical and business-oriented mindset</li><li>
Ability to lead initiatives, influence stakeholders, and mentor junior team members</li></ul></div>

Senior Machine Learning Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We are looking for a strong Partner Solution Architect with a Data &amp; AI background to enable new capabilities for our customers to deploy GenAI workloads on AWS. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interacting with customers directly to understand their business problems, and helping them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). Working with account teams, research scientists, and product teams, you&rsquo;ll drive model implementations and create new solutions.<br>
<br>
We are part of the Worldwide Specialist Organization at AWS, a team of customer obsessed architects and technical business leaders. We work backwards from our customer&rsquo;s most business-critical problems to build global go-to-market plans and scale innovations across industries and domains.
<br>
<br>
Key job responsibilities<br>
Partner Advisor: Collaborate with regional teams to enable partners and customers in adopting AWS AI and data services.
<br>
<br>
Devise Strategy: Partner with regional teams to define and execute engagement strategies for autonomous agent implementations, generative AI adoption, analytics modernization, database migrations, and streaming data architectures across global territories and key partners. Emphasize the increased demand for streaming and messaging expertise driven by the agentic AI backdrop.
<br>
<br>
Product Collaboration: Stay closely connected to AWS service teams, working with regional partner teams to launch new capabilities across our technology portfolio, enabling partners to quickly adopt innovations in AI agents, generative AI, ML, analytics, databases, and streaming services.
<br>
<br>
Thought Leadership: Provide thought leadership on AI and data solutions, including autonomous agent architectures, generative AI use cases, analytics modernization, database migrations, and streaming data patterns. Create enablement content through AWS Blogs, Whitepapers, reference architectures, and present at AWS events and industry conferences.
<br>
<br>
Community Engagement: Drive best practices across regions, participate in, and contribute to the worldwide AWS technical community of Solutions Architects and Consultants focused on our AI and data technology stack.
<br>
<br>
Partner Evangelism: Evangelize partner value propositions internally across global AWS teams and externally with customers, highlighting implementation paths for agentic AI solutions, generative AI applications, data stack modernization, analytics workloads, database migrations, and streaming architectures.
<br>
<br>
Partner Enablement: Drive partner solutions and go-to-market strategies across regions. Enable partners to build differentiated offerings for agentic AI implementations, generative AI solutions, data analytics transformation, database modernization, and streaming data services.
<br>
<br>
Architectural Guidance: Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex AI and data projects worldwide.
<br>
<br>
A day in the life<br>
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving our AI and data technology portfolio. You will enjoy learning and introducing new technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization.
<br>
<br>
As the right candidate, you will possess technical skills in agentic AI architecture, generative AI applications, machine learning, data analytics services, database services, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with. The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines and can work effectively across internal and external organizations and remote teams.<br>
<br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.<br>
<br>
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>5+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>5+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working within software development or Internet-related industries</li><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>Experience working with AWS technologies from a dev/ops perspective</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Working experience across the agentic AI, generative AI, and data landscape. This experience would include designing and implementing agentic AI systems, building generative AI architectures, developing machine learning models, and architecting data solutions.</li><li>Expertise in agentic AI frameworks, generative AI, ML/AI services, data analytics, and databases</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually<br>
USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually<br>
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually<br>
USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually</div><p></p>

Worldwide Partner Solutions Architect, Data and AI GTM

ITWORX

<div><p>Lead Technical Architect | Fulltime</p>
<div><h6 class="jobSectionHeader"><b>Job Description:</b></h6>
<p></p><p><b>Key accountabilities and decision ownership:</b></p>
<ul><li>Provide design and architecture for the assigned proposals and projects for Data &amp; AI domain.</li>
<li>Translate client needs into fit-for-purpose Data &amp; AI solutions, leveraging modern cloud platforms (Azure, AWS or GCP).</li>
<li>Lead complex implementations that deliver measurable outcomes. Architect and scale GenAI chatbots and Agentic AI solutions. Evaluate and select appropriate models, frameworks, and orchestration tools.</li>
<li>Build reusable architecture artifacts.</li>
<li>Review the gathered requirements by the Business Analysis; ensure it is in line with the architecture design and apply modifications if needed.</li>
<li>Align with the technical lead on the Data &amp; AI architecture design to start the implementation process.</li>
<li>Rework and apply any changes and work in alignment with the development team.</li>
<li>Support the development team on architecture matters when needed.</li>
<li>Document all the architecture work.</li>
<li>Mentor technical architects and senior architects and provide them with support with their projects when needed.</li>
<li>Support the chief of architecture in enhancing and modifying different engineering review processes.</li>
</ul></div><p></p><div><h6 class="jobSectionHeader"><b>Job Requirements:</b></h6>
<p></p><p><b>Must have professional qualifications:</b></p>
<ul><li>Bachelor's degree in computer science or equivalent.</li>
<li>15+ years of experience in software development including at least 6 years as an architect.</li>
<li>Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space.</li>
<li>Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph).</li>
<li>Strong working knowledge and practical experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.</li>
<li>Hands on Experience in Prompt engineering, context engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability.</li>
<li>Experience in Enterprise-grade RAG-based solutions with LLMs (e.g. OpenAI, Hugging Face, LLaMA, etc.) and vector databases (e.g. Pinecone, Weaviate, FAISS, etc.).</li>
<li>Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow).</li>
<li>Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).</li>
<li>Masters degree in data science is plus.</li>
</ul></div><p></p><div><h6 class="jobSectionHeader"><b>Equal opportunity:</b></h6>
<p>All qualified applicants will receive consideration for employment without regard to age, religion, gender, nationality or disability. All qualified candidates will be considered in the process</p></div></div><p></p>
<br><div><div><div><div><div>Posted 4 weeks ago
</div></div></div><div><div><div><div><div><ul><li><b>Job Location</b></li>
<li>Egypt</li>
</ul></div></div><div><div><ul><li><b>Job Code</b></li>
<li><b>2084</b></li>
</ul></div></div></div></div></div><div><div><div><div><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
</div><div><div><ul><li>Experience</li>
<li>15+ years of experience in software development including at least 6 years as an architect Years</li>
</ul></div></div><div><div><ul><li>Job Level:</li>
<li>Managerial</li>
</ul></div></div><div><div><ul><li>Education</li>
<li>Bachelor's degree in computer science or equivalent</li></ul></div></div></div></div></div></div></div><p></p>

Lead Technical Architect

Carease Health

<div><p><b>AI Architect</b></p><p><b>
About Carease Health</b></p><p>
Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.</p><p>
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.</p><p>
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.</p><p>
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.</p><p><b>
Role Overview</b></p><p>
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.</p><p>
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.</p><p>
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.</p><p><b>
What You Will Do</b></p><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><p><b>
What We Are Looking For</b></p><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><p><b>
Nice to Have</b></p><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><p><b>
Why Join Carease Health</b></p><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><p><b>
Compensation and Location</b></p><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><p><b>
How to Apply</b></p><p>
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.</p><p>
Please submit your resume and any relevant project or system experience.</p></div><p></p>

AI Architect Hybrid

Search 10000+ Machine learning architect jobs near you this May. New roles added regularly across leading industries. Apply today.