## Qualifications
* Ideal candidates should have over 10 years of experience in data architecture, with a strong track record in project management and collaboration with technical teams
## Benefits
* This role offers competitive salary and comprehensive benefits
* #J-18808-Ljbffr
## Responsibilities
* This role focuses on leading the design and governance of data architectures for clients in the life sciences sector
* You will manage project teams, ensuring high-quality data solutions are delivered effectively

## Full Description
Location: Tallahassee

A global consulting firm is looking for a Data Architect Manager in Florida. This role focuses on leading the design and governance of data architectures for clients in the life sciences sector. You will manage project teams, ensuring high-quality data solutions are delivered effectively. Ideal candidates should have over 10 years of experience in data architecture, with a strong track record in project management and collaboration with technical teams.

This role offers competitive salary and comprehensive benefits.

#J-18808-Ljbffr




## Full Description
职位：AI自动化专家和AI自动化工程师（远程）| AI与自动化领域的工作 AI自动化专家和AI自动化工程师（远程）| AI与自动化领域的工作 地点：远程（可在任何国家工作） 雇佣类型：全职/兼职/合同 经验水平：初级、中级和高级职位可用 职位描述： 我们正在寻找AI自动化专家和AI自动化工程师，远程参与创新的AI驱动自动化项目。如果您有N8n、Zapier或其他自动化平台的经验，并且热衷于利用AI工具构建聊天机器人、AI助手和AI代理，那么这个职位适合您。 这是一个在现实世界中开发自动化解决方案的机会，集成AI工具以创建高效的工作流程、智能机器人和推动业务成功的自动化代理。 主要职责： AI自动化与工作流程开发： • 使用N8n、Zapier等平台设计和实施端到端自动化工作流程。 • 为企业和现实应用开发和部署AI驱动的自动化解决方案。 • 集成API、AI工具和自动化脚本以优化业务运营。• 使用AI驱动的解决方案自动化数据处理、通信流程和任务管理。 AI驱动的聊天机器人和AI助手： • 使用LLMs（GPT-4、Claude、Bard等）和自动化平台构建和优化聊天机器人和AI助手。 • 培训和定制AI驱动的虚拟代理以用于客户支持、潜在客户生成和工作流程自动化。 • 实施NLP（自然语言处理）以增强聊天机器人交互。 AI集成与现实应用案例： • 为电子商务、金融、人力资源、客户服务和SaaS企业等行业创建定制的AI工作流程。 • 实施AI驱动的解决方案以减少手动工作、提升用户体验和提高效率。 • 使用AI驱动的工具（Lang Chain、Auto-GPT、OpenAI API等）创建智能自动化系统。 测试、优化与部署： • 持续监控、测试和优化自动化流程以确保效率和可扩展性。 • 排除故障并优化AI驱动的工作流程以提高性能。 • 及时了解新兴的AI自动化趋势和最佳实践。 候选人要求： 技术技能与经验： • 具备N8n、Zapier、Power Automate或类似自动化工具的经验。 • 对API、Webhook和自动化过程的集成有深入理解。 • 具备与AI模型、LLMs和聊天机器人框架（OpenAI、Claude、Bard等）合作的经验。 • 具备与基于云的AI自动化和SaaS工具合作的经验。 软技能与工作态度： • 能够在远程环境中独立工作并交付成果。 • 具备强大的问题解决能力以设计高效的自动化解决方案。 • 具备有效的沟通和协作能力以与不同行业的团队合作。 • 愿意学习并适应不断发展的AI自动化趋势。 为什么加入我们？ 远程工作 无地点限制。 灵活的工作时间表 全职、兼职或合同工作。 令人兴奋的AI项目 构建现实世界的AI驱动自动化解决方案。 职业发展 提升您的AI自动化和工作流程优化技能。 与AI专家合作 与AI、自动化和软件开发领域的专业人士合作。 类似职位： • AI自动化专家 • AI工作流程工程师 • AI聊天机器人开发者 • AI集成工程师 • AI与自动化顾问 申请方式： 请填写所有字段并提交您的简历至此职位发布。 关于我们： Talent Bridge HR Consultancy是一家位于迪拜的猎头公司，专注于迪拜的高管搜索。 您在迪拜招聘最佳人才的可信赖招聘机构。 迪拜的国际招聘咨询公司。 #J-18808-Ljbffr




## Full Description
La version française suivra

Permanent Position – Hybrid

Reporting to the Senior Director, Learning & Development, the A.I. Learning Counsel will lead the design, development and implementation of the firm’s artificial intelligence (A.I.) training and adoption programs for legal and business professionals in Fasken’s Canadian Regions and our London and Johannesburg offices. The incumbent will bea part of the firm’s cross-department AI team with Knowledge and Practice Innovation (KMPI) and Information Technology (IT). As a part of this team, they will collaborate to align the AI training and adoption programs with Fasken’s AI strategy and annual business objectives related to A.I.

The primary internal clients for this role, in addition to the KMPI and IT teams, are lawyers, legal students, legal administrative staff, Human Resources, and other business administrative staff.

Primary Responsibilities

• Strategy & Program Development

• In collaboration with the Senior Director, Learning and Development, design, develop and implement a multi-year A.I. learning strategy aligned with the firm’s talent and innovation goals.

• In collaboration with the AI experts in Knowledge and Practice Innovation and Information Technology:

• identify A.I. learning needs across practice groups, business services, and leadership; and develop and maintain a firm-wide A.I. curriculum, ranging from foundational literacy to advanced, practice-specific applications.

• Stay current on emerging A.I. learning trends and assess their impact on the firm.

• Attending KMPI and IT meetings on A.I., and update firm documents, procedures and processes to incorporate changes into A.I. training.

• Learning Execution & Delivery

• Create and oversee facilitation of the delivery of engaging training programs (live workshops, e-learning, certifications, on-demand modules) on A.I. concepts, tools, and use cases in legal practice.

• Partner with Knowledge Management to incorporate A.I. into Learning & Development materials, including training for lawyers, staff, etc.

• Create an A.I. skills programs tailored to the needs of Fasken’s legal professionals, including summer articling students, articling students, paralegals, associates, partners and business professional roles.

• Develop A.I. learning journeys for various firm members, including legal assistants, marketing, business development, finance, and IT professionals.

• Collaborate with KMPI and IT on, and contribute to, the Firm’s AI Collective initiatives across practices and business departments to build internal expertise and mentorship capacity.

• Oversee and contribute to the development and maintenance of relevant A.I. learning resources and materials.

• Maintain technical competence in software and A.I. applications supported by the firm and stay updated on new technologies.

• Adoption, Risk & Change Management

• Promote responsible use of A.I. in alignment with firm policies, client expectations, and professional obligations.

• Support change management by equipping lawyers and staff with the skills, tools, and confidence to adopt A.I. in daily work.

• In collaboration with KMPI and IT, monitor adoption metrics, learning outcomes, and feedback to refine programming and measure ROI.

• Maintain learning records, reports, evaluations, and effectiveness of the firm's A.I. Learning and continuously work towards A.I. learning maturity.

• Collaboration & Thought Leadership

• In coordination with KMPI, contribute to thought leadership content (articles, presentations, webinars) to showcase the firm’s A.I. expertise internally and externally.

• Collaborate with lawyers and legal teams, as well as KMPI, to identify opportunities for implementing learning technology solutions to enhance learning efficiency and effectiveness.

• Work with KMPI and key stakeholders on all aspects of A.I. skills training.

• Work on projects and other duties as assigned

Required Knowledge And Experience

• J.D./LL.B. and member in good standing with a Canadian law society.

• Minimum five (5) years of experience practicing law, with exposure to legal technology, knowledge management, or innovation initiatives.

• Proven experience designing and delivering legal training or professional development programs.

• Strong understanding of emerging A.I. technologies in legal practice (e.g., generative A.I., contract review, legal research, analytics).

• French/Bilingual language skills is an asset.

• Strong foundation in instructional and learning design, with experience developing effective training solutions

• Experience with learning technologies, including Learning Management Systems (LMS) and digital learning tools, as well as familiarity with Microsoft Copilot

• Experience delivering training both in‑person and virtually, adapting content to diverse learning styles

• Excellent communication and collaboration skills, with the ability to work effectively across regions and functions

• Understanding of change management principles and the ability to support stakeholders through change

• Strong organizational, problem‑solving, and multitasking skills in a dynamic environment

• Business‑minded, results‑oriented, and customer‑focused approach

• Adaptable, resilient, and committed to continuous learning and professional growth

Pay Range

$130,000 to $150,000 per annum. Pay range to be commensurate with experience.

Why join Fasken?

• For a competitive total compensation package;

• For a flexible workplace integrating teleworking in which life balance is at the heart of our priorities;

• For a health and wellness reimbursement program, an insurance plan that adapts to your needs, telemedicine services and a generous retirement savings plan;

• For a friendly work atmosphere where the values of respect, openness, innovation, diversity, equity and inclusion are put forward;

• For a culture and leaders who promote an excellent employee experience by prioritizing autonomy, recognition, collaboration and the development of full potential;

• To be part of a company that is committed and gives back to the community.

About Fasken

As a premier law firm with over 900 lawyers worldwide, Fasken is where excellence meets expertise. We are dedicated to shaping the future our clients want, precisely when it matters most. For more information, visit fasken.com.

Diversity and Inclusion

At Fasken, we believe in a diverse workplace made up of people with unique experiences and qualities. It is important that all our members find our workplace welcoming and caring. An inclusive workplace creates a fair environment where people are respected and valued.

Accessibility and Accommodation

Reasonable accommodations are available for applicants with disabilities.

--

Poste permanent – Hybride

Relevant de la directrice principale, Formation et développement , l’avocat-conseil ou l’avocate-conseil en formation IA dirigera la conception, l’élaboration et la mise en œuvre des programmes de formation et d’adoption de l’intelligence artificielle (IA) destinés aux professionnels du droit et des affaires de Fasken au Canada, à Londres et à Johannesburg. Cette personne fera partie de notre équipe multidisciplinaire d’IA, laquelle conjugue ses efforts avec l’équipe de la gestion du savoir et de l’innovation de la pratique (GSIP) et l’équipe des technologies de l’information (TI). Dans ce contexte, elle travaillera en collaboration avec des collègues pour aligner les programmes de formation et d’adoption de l’IA sur la stratégie de Fasken en matière d’IA et sur les objectifs annuels du cabinet à cet égard.

Les principaux clients internes associés à ce poste, en plus des équipes GSIP et TI, sont les avocats, les étudiants en droit, les professionnels juridiques, les ressources humaines et les professionnels des affaires.

Principales Responsabilités

• Stratégie et développement de programmes

• En collaboration avec la directrice principale, Formation et développement, concevoir, élaborer et mettre en œuvre une stratégie pluriannuelle de formation en IA alignée sur les objectifs du cabinet en matière de talents et d’innovation.

• En collaboration avec les experts en IA des équipes GSIP et TI :

• cerner les besoins de formation en IA dans les groupes de pratique, les services d’affaires et la direction; élaborer et tenir à jour un programme de formation en IA à l’échelle du cabinet, allant des notions de base aux applications avancées propres à chaque pratique.

• Se tenir au courant des tendances émergentes dans le domaine de la formation en IA et évaluer leur incidence sur le cabinet.

• Assister aux réunions des équipes GSIP et TI sur l’IA et mettre à jour les documents, procédures et processus du cabinet pour intégrer les changements à la formation sur l’IA.

• Exécution et prestation de formations

• Élaborer des programmes de formation attrayants (ateliers en direct, cours en ligne, certifications, modules à la demande) sur les concepts, les outils et les cas d’utilisation de l’IA dans l’exercice du droit; en superviser l’animation.

• Collaborer avec la gestion du savoir pour intégrer l’IA au matériel de l’équipe Formation et développement, comme les formations destinées aux avocats, aux membres du personnel, etc.

• Créer des programmes de compétences en IA adaptés aux besoins des professionnels du droit de Fasken, notamment les étudiants en stage d’été, les stagiaires, les parajuristes, les avocats salariés, les associés et les professionnels des affaires.

• Élaborer des parcours d’apprentissage en IA pour différents membres du cabinet, dont les adjointes juridiques, les membres de l’équipe de marketing et développement des affaires, les membres de l’équipe des finances et les professionnels des TI.

• Collaborer avec les équipes GSIP et TI à l’égard des initiatives du Collectif IA du cabinet dans tous les groupes de pratique et services internes afin de renforcer l’expertise et la capacité de mentorat au sein du cabinet. Y apporter sa contribution.

• Veiller et contribuer à l’élaboration de ressources et de matériel d’apprentissage en IA pertinents et à leur mise à jour.

• Se tenir à jour techniquement sur les logiciels et applications d’IA utilisés au cabinet et rester au courant des nouvelles technologies.

• Gestion du changement, des risques et de l’adoption

• Promouvoir l’utilisation responsable de l’IA conformément aux politiques du cabinet, aux attentes des clients et aux obligations professionnelles.

• Soutenir la gestion du changement en dotant les avocats et le personnel des compétences, des outils et de la confiance nécessaires pour adopter l’IA dans leur travail quotidien.

• En collaboration avec les équipes GSIP et TI, surveiller les indicateurs d’adoption, les résultats d’apprentissage et la rétroaction afin d’améliorer la programmation et de mesurer le rendement de l’investissement.

• Tenir à jour les dossiers, les rapports, les évaluations et l’efficacité de la formation en IA du cabinet; travailler continuellement à rehausser la maturité de la formation en IA.

• Collaboration et leadership éclairé

• En collaboration avec l’équipe GSIP, contribuer au contenu de leadership éclairé (articles, présentations, webinaires) afin de faire rayonner l’expertise du cabinet en matière d’IA à l’interne et à l’externe.

• Collaborer avec les avocats et les équipes juridiques, et avec l’équipe GSIP, afin de repérer les occasions de mettre en œuvre des solutions technologiques d’apprentissage pour améliorer le rendement et l’efficacité des formations.

• Collaborer avec l’équipe GSIP et avec les principales parties prenantes sur tous les aspects de la formation sur les compétences en IA.

• Travailler sur des projets spéciaux et participer à d’autres activités selon les besoins.

Connaissances Et Expérience Exigées

• Diplôme en droit (J.D./LL.B.) et membre en règle d’un barreau canadien.

• Au moins cinq (5) années d’expérience en pratique juridique, et exposition à des technologies juridiques, à la gestion du savoir ou à des initiatives d’innovation.

• Expérience éprouvée en conception et prestation de formation juridique ou de programmes de développement professionnel.

• Bonne connaissance des technologies d’IA émergentes dans le domaine juridique (p. ex. IA générative, examen de contrats, recherche juridique, analytique).

• Bilinguisme, un atout.

• Solides connaissances en conception pédagogique et en conception de l’apprentissage; expérience dans l’élaboration de solutions de formation efficaces.

• Expérience des technologies d’apprentissage, dont les systèmes de gestion des apprentissages (SGA) et les outils numériques d’apprentissage; bonne connaissance de Microsoft Copilot.

• Expérience en prestation de formation en personne et à distance, et en adaptation du contenu selon différents styles d’apprentissage.

• Excellentes compétences en communication et en collaboration; capacité à travailler efficacement pour différentes régions et fonctions.

• Compréhension des principes de gestion du changement et capacité à soutenir les parties prenantes pendant la transition.

• Solides compétences en organisation et en résolution de problèmes; capacité à effectuer plusieurs tâches à la fois dans un environnement dynamique.

• Esprit axé sur les affaires et les résultats; approche axée les clients.

• Capacité d’adaptation, résilience et engagement à l’égard de l’apprentissage continu et de la croissance professionnelle.

Fourchette salariale

De 130 000 $ à 150 000 $ par année. Le salaire sera déterminé en fonction de l’expérience professionnelle.

Pourquoi vous joindre à Fasken?

• Pour une rémunération globale compétitive;

• Pour un lieu de travail flexible qui intègre le télétravail et dans lequel l’équilibre de vie est au cœur de nos priorités;

• Pour un programme de remboursement de frais de santé et mieux-être, un régime d’assurance qui s’adapte à vos besoins, des services de télémédecine et un généreux régime d’épargne-retraite;

• Pour une ambiance de travail conviviale où les valeurs de respect, d’ouverture, d’innovation, de diversité, d’équité et d’inclusion sont mises de l’avant;

• Pour une culture d’entreprise et des leaders qui favorisent une excellente expérience employé, tout en privilégiant l’autonomie, la reconnaissance, la collaboration et le développement du plein potentiel;

• Pour faire partie d’une organisation qui s’engage et redonne à la communauté.

Au sujet de Fasken

Situé à l’intersection de l’excellence et de l’expertise, Fasken est un cabinet d’avocats de premier plan comptant plus de 900 avocats et avocates à l’échelle mondiale. Nous nous engageons auprès de nos clients à façonner l’avenir qu’ils imaginent, précisément au moment où cela compte le plus. Pour plus de renseignements, visitez fasken.com.

Diversité et inclusion

Chez Fasken, nous croyons en un milieu de travail diversifié, composé de personnes ayant des expériences et des qualités uniques. Il est important que tous nos membres trouvent notre milieu de travail accueillant et bienveillant. Un milieu de travail inclusif crée un environnement équitable où les gens sont respectés et valorisés.

Accessibilité et mesures d’adaptation

Des mesures d’adaptation raisonnables peuvent être prises pour les personnes en situation de handicap.



## Qualifications
* You'd rather run a scrappy study today than a perfect one next week
* You bring rigor without rigidity
* You've executed enough good research that strong methods come naturally—freeing you to adapt and get creative as needed
* You're an AI-native user researcher
* You already use AI tools to improve your workflows and you're excited to help us create the research tools of the future
* You're technical and self-sufficient
* You’re experienced working directly with product analytics and behavioral data
* 5+ years of industry UX research experience
* Strong track record of driving product decisions through research
* Expertise with mixed methods (both qualitative and quantitative)
* Strong SQL skills; able to self-serve on data—pulling samples, analyzing usage patterns, working in product analytics tools
* Ability to adapt and thrive in ambiguous, fast-moving environments
* Excellent storytelling
* Strong product intuition with ability to generate strong opportunities and strategies
* Have a master's or PhD in HCI, Cognitive Psychology, Anthropology, Information Science, or related field
* Have built research tools or conducted novel methods using AI
* Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
* As such, we greatly value communication skills
## Benefits
* The annual compensation range for this role is listed below
* Annual Salary
* $260,000—$305,000 USD
* We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues
## Responsibilities
* Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering
* We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track
* Identify the highest-leverage research questions and pursue them with urgency
* Design and execute qualitative and quantitative studies
* Get hands-on with product data to answer questions quickly
* Synthesize findings into clear recommendations that drive cross-functional decisions
* Partner closely with PMs, designers, and engineers to shape product direction
* Communicate insights through compelling storytelling, tailored to your audience
* You take initiative, identify blind spots, and push stakeholders to ask harder questions—not just answer the ones they bring you
* You move fast
* You stay close to the product
* You make stakeholders more user-centered
* You partner closely with PMs, designers, and engineers, and help them internalize user thinking so it spreads beyond your research

## Full Description
About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role

UX research at Anthropic is a small team with outsized leverage. We work across products used by millions of people—and on interactions that don't have established conventions yet.

We inform critical decisions through rigorous research, with stakeholders who eagerly incorporate findings into their work. Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track.

We move fast, favor impact over polish, and increasingly build our own tools to do research at the speed this environment demands.

Responsibilities

Identify the highest-leverage research questions and pursue them with urgency

Design and execute qualitative and quantitative studies

Get hands-on with product data to answer questions quickly

Synthesize findings into clear recommendations that drive cross-functional decisions

Partner closely with PMs, designers, and engineers to shape product direction

Communicate insights through compelling storytelling, tailored to your audience

Specific Projects

Depend On Team Staffing—we'll Figure That Out Together Once We Understand Your Strengths And Interests. A Few Examples

Enterprise: What makes employees love Claude enough to champion it internally? How do we help organizations transform how they work—and measure the ROI?

Claude Cowork: What ways of working with Claude are genuinely transformative? What would help more people get value from it?

Claude Code: How will coding work continue to evolve? How do we deliver seamless experiences across surfaces and keep developers (and non-devs) deeply satisfied?

What We're Looking For

You surface what teams aren’t seeing. You take initiative, identify blind spots, and push stakeholders to ask harder questions—not just answer the ones they bring you.

You move fast. You'd rather run a scrappy study today than a perfect one next week.

You bring rigor without rigidity. You've executed enough good research that strong methods come naturally—freeing you to adapt and get creative as needed.

You're an AI-native user researcher. You already use AI tools to improve your workflows and you're excited to help us create the research tools of the future.

You stay close to the product. You pay attention to where capabilities are heading and help us find and then ride that next opportunity.

You're technical and self-sufficient. You’re experienced working directly with product analytics and behavioral data.

You make stakeholders more user-centered. You partner closely with PMs, designers, and engineers, and help them internalize user thinking so it spreads beyond your research.

You May Be a Good Fit If You Have

5+ years of industry UX research experience

Strong track record of driving product decisions through research

Expertise with mixed methods (both qualitative and quantitative)

Strong SQL skills; able to self-serve on data—pulling samples, analyzing usage patterns, working in product analytics tools

Ability to adapt and thrive in ambiguous, fast-moving environments

Excellent storytelling

Strong product intuition with ability to generate strong opportunities and strategies

Strong Candidates May Also

Have a master's or PhD in HCI, Cognitive Psychology, Anthropology, Information Science, or related field

Have built research tools or conducted novel methods using AI

The annual compensation range for this role is listed below.

Annual Salary

$260,000—$305,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process

#J-18808-Ljbffr



## Qualifications
* Bachelor's degree in computer science or similar
* 10+ years of software engineering experience and designing scalable software solutions
* Experience building and deploying AI agents capable of automating routine operational workflows, such as data processing, task routing, and system monitoring
* Ability to design agentic workflows that integrate with existing systems, enabling autonomous decision‑making, error handling, and continuous task execution
* Skilled in using modern agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen) to create multi‑step, goal‑oriented automation solutions
* Proven success implementing AI‑driven process automation that reduces manual effort, improves efficiency, and enhances operational reliability
* Guiding development teams, promoting best practices, and ensuring system performance, reliability, and maintainability
* Working closely with stakeholders to ensure technical solutions align with business goals and project requirements
* Producing high‑level product specifications, architectural diagrams, and technical blueprints to support development teams
## Responsibilities
* Designing and implementing AI architectures: Lead the development of intelligent applications, including RAG pipelines, AI agents, and data‑driven automation workflows
* Collaborate with engineering and data teams to turn complex information into actionable outputs
* Technical leadership: Oversee the architectural design, integration, and deployment of AI solutions, ensuring they are scalable, reliable, and aligned with organizational standards
* Automation and agent development: Drive the creation of autonomous workflows using modern AI frameworks, enabling systems to perform tasks, analyze data, and support decision‑making with minimal human intervention
* Team guidance: Mentor and support engineers working on AI and automation initiatives, promoting high‑quality code, experimentation, and effective problem‑solving
* Continuous improvement: Stay current with emerging AI technologies, agentic frameworks, and industry best practices, ensuring solutions remain modern, efficient, and compliant

## Full Description
ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, cybersecurity, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 82). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.

We're hiring an AI Technical Lead/Architect who will be responsible for guiding teams in building advanced AI‑driven systems and automation solutions. This is a 100% remote role (must be located in the US), full-time with competitive salary, bonus, 401K, and more.

Duties:

Designing and implementing AI architectures: Lead the development of intelligent applications, including RAG pipelines, AI agents, and data‑driven automation workflows. Collaborate with engineering and data teams to turn complex information into actionable outputs.

Technical leadership: Oversee the architectural design, integration, and deployment of AI solutions, ensuring they are scalable, reliable, and aligned with organizational standards.

Automation and agent development: Drive the creation of autonomous workflows using modern AI frameworks, enabling systems to perform tasks, analyze data, and support decision‑making with minimal human intervention.

Team guidance: Mentor and support engineers working on AI and automation initiatives, promoting high‑quality code, experimentation, and effective problem‑solving.

Continuous improvement: Stay current with emerging AI technologies, agentic frameworks, and industry best practices, ensuring solutions remain modern, efficient, and compliant.

Requirements:

• Bachelor's degree in computer science or similar

• 10+ years of software engineering experience and designing scalable software solutions

• Experience building and deploying AI agents capable of automating routine operational workflows, such as data processing, task routing, and system monitoring

• Ability to design agentic workflows that integrate with existing systems, enabling autonomous decision‑making, error handling, and continuous task execution

• Skilled in using modern agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen) to create multi‑step, goal‑oriented automation solutions

• Proven success implementing AI‑driven process automation that reduces manual effort, improves efficiency, and enhances operational reliability

• Guiding development teams, promoting best practices, and ensuring system performance, reliability, and maintainability

• Working closely with stakeholders to ensure technical solutions align with business goals and project requirements

• Producing high‑level product specifications, architectural diagrams, and technical blueprints to support development teams

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## Full Description
We are seeking a forward thinking and execution driven Head of AI Innovation to spearhead our external AI innovation ecosystem. This role is dedicated to discovering, shaping, and accelerating high impact AI opportunities by partnering with cutting edge vendors, research groups, and technology providers. You will curate an innovation pipeline, translate emerging capabilities into tangible prototypes, and ensure that external innovations align with strategic AI priorities. The ideal candidate is commercially sharp, deeply curious about frontier AI, and thrives in a fast moving, experimental environment. Key Responsibilities: As the function matures, your scope will expand. Initial priorities include: Productization of internal AI tools Turn prototypes (e.g., agentic pilots) into scalable, reusable internal products. Cross-functional integration Coordinate with infrastructure and data teams to embed external innovations into internal platforms. Innovation scouting and pipeline development Identify emerging technologies and vendors aligned to strategic AI priorities. Commercial oversight and governance Ensure vendor collaboration models, budgets, and deliverables frameworks support agile yet controlled innovation. What you will expose: Be part of a dynamic and fast-paced team that makes a genuine impact on the success of the entire organisation. Opportunity to work with a diverse, agile, and global team. Exposure to all aspects of the business, cross-jurisdiction. A genuinely unique opportunity to be part of an expanding large global business. Competitive remuneration in line with skills and experience. Training and development opportunities. Required Skills and Qualifications: Integration & Change Leadership: Experienced in embedding external AI solutions into enterprise workflows, managing stakeholder expectations, and driving adoption. AI Risk & Compliance Expertise: Skilled in responsible AI procurement, working cross-functionally to ensure compliance with regulations, model risk, data privacy, and governance frameworks. Commercial Negotiation & Performance Oversight: Strong track record negotiating contracts, defining SLAs, and monitoring delivery to maximize business value. Market Scanning & Innovation Pipeline: Continuously tracks AI trends and emerging technologies, building structured innovation pipelines and engaging with ecosystem partners. Innovation Program Execution: Launches and scales AI initiatives, translating pilots into scalable products with measurable impact. Technical & Business Acumen: Familiar with AI vendor tech stacks (e.g. LLM platforms, vector DBs, RAG pipelines), model evaluation, and pricing models; adept at defining innovation KPIs and managing vendor lifecycles. Preferred Personal Attributes: Strategic visionary with a proven ability to translate ideas into effective operational execution. Enthusiast for responsible innovation and cutting-edge AI technologies. Agile and adaptable, thriving in fast-paced, dynamic, and ambiguous environments. Strong ethical foundation, deeply committed to advancing responsible and trustworthy AI adoption.




## Full Description
Employer Industry : Technology and Artificial Intelligence

Why consider this job opportunity :

Fully remote work opportunity from anywhere in Canada

Competitive salary based on experience

Opportunity to work on innovative AI-driven applications and systems

Collaborate with cross-functional teams to enhance internal operations

Engage in a supportive and dynamic work environment focused on professional growth

Chance to contribute to the development of cutting-edge technology solutions

What to Expect (Job Responsibilities) :

Design and build end-to-end GenAI-powered applications, including web-based UIs and backend orchestration

Implement and integrate LLM-based experiences using various AI frameworks and tools

Define and champion operational excellence standards for all deployed services

Develop responsive and accessible frontend interfaces with a focus on usability and performance

Collaborate with designers and product managers to iterate on UX patterns for AI experiences

What is Required (Qualifications) :

5–8 years of software engineering experience with full-stack development, including 2+ years in AI / ML-driven applications

Strong Python development skills and experience with cloud-based services using AWS, Docker, and RESTful APIs

Proficiency in frontend technologies like React, TypeScript, or Vue, with a focus on UI / UX for internal tools

Hands-on experience with LLM integration and RAG pipelines

Familiarity with secure coding practices and internal data governance

How to Stand Out (Preferred Qualifications) :

Exposure to design systems or AI evaluation tools

Experience with real-time application performance monitoring

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

#J-18808-Ljbffr



## Qualifications
* PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field
* PhD must have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI
* Proficiency in Python and R for use in data science and modeling
* Excellent writing and communication skills; demonstrated publication record
* Knowledge of cancer biology, clinical oncology workflows, or multi-omics data
* 3 work references with their contact information; at least one reference should be from a supervisor
## Benefits
* Salary Range
* $62,232+ depending on NIH level
## Responsibilities
* Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets
* Develop knowledge graphs and multimodal embeddings for cancer patient digital twin construction
* Lead and co-author high-impact publications and grant proposals
* Collaborate with clinicians, bioinformaticians, and data scientists across UT Austin, and other partners
* Mentor graduate and undergraduate research assistants and contribute to lab leadership
* Develop and deploy innovative AI models for treatment discovery and patient-specific decision support
* Gain experience in translational research across clinical, academic, and technology domains
* Participate in lab initiatives aligned with NCI, CPRIT, and NIH-funded projects
* Repetitive use of a keyboard

## Full Description
General Notes

This is a grant funded position with an end date 1 year from the start date. The position is renewable based upon availability of funding, work performance, and progress toward goals with the option to continue until August 31, 2029, if renewed. Note: This candidate must be authorized to work in the United Stated without sponsorship.

Purpose

The Kowalski Lab at the University of Texas at Austin invites applications for a Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation, translational science, and patient-centered care, contributing to pioneering efforts in integrating multi-modal data for individualized cancer therapy selection.

The lab leads multi-institutional projects combining clinical, molecular, proteomic, and other published data to build explainable and scalable decision-support systems. These systems are designed to bridge gaps in personalized treatment for patients with rare, resistant, or genomically un-targetable cancers.

Responsibilities

• Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets.

• Develop knowledge graphs and multimodal embeddings for cancer patient digital twin construction.

• Lead and co-author high-impact publications and grant proposals.

• Collaborate with clinicians, bioinformaticians, and data scientists across UT Austin, and other partners.

• Mentor graduate and undergraduate research assistants and contribute to lab leadership.

Learning Opportunities:

• Develop and deploy innovative AI models for treatment discovery and patient-specific decision support.

• Gain experience in translational research across clinical, academic, and technology domains.

• Participate in lab initiatives aligned with NCI, CPRIT, and NIH-funded projects.

Required Qualifications

PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in Python and R for use in data science and modeling. Excellent writing and communication skills; demonstrated publication record.

Preferred Qualifications

Knowledge of cancer biology, clinical oncology workflows, or multi-omics data.

Salary Range

$62,232+ depending on NIH level

Working Conditions

• Standard office equipment

• Repetitive use of a keyboard

Required Materials

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.




## Full Description
Job Title: Technology Lead – AI/ML & GenAI

Experience: 12+ Years

Location: Abu Dhabi, UAE

Employment Type: Full-time

About the Role

NorthBay Solutions is seeking an accomplished Technology Lead with a strong track record in Generative AI (GenAI), AI/ML, and enterprise architecture. This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions, lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.

You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.

Core Responsibilities

• Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.

• Lead a team of 8–12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.

• Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.

• Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.

• Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.

Technical Expertise RequiredGenerative AI Leadership (3+ Years) – PRIMARY

• Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.

• Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations.

• Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains.

• Expertise in advanced prompt engineering and Chain-of-Thought techniques.

• Proven track record delivering 3+ production-grade GenAI applications.

AI/ML Foundation (4–5 Years)

• Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.

• Full lifecycle management of ML models, from development to monitoring in production.

• Seamless integration of AI/ML models into enterprise-grade applications and platforms.

Enterprise Architecture & Deployment (8+ Years)

• Strong background in full-stack development (MERN stack or equivalent).

• Deployment expertise across on-premises, cloud, and hybrid environments.

• Advanced Kubernetes skills for orchestration and scaling.

• Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).

• Proven ability to design and manage APIs and microservices (REST, GraphQL).

• DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation.

Cloud & Infrastructure

• Deep knowledge of AWS, Azure, or GCP with ML/AI services.

• AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway.

• Strong grasp of hybrid cloud architectures integrating AI/ML workloads.

Proven Delivery

• 7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.

• Demonstrated team leadership experience with measurable outcomes.

• Strong focus on delivery excellence, scalability, and long-term maintainability.

Requirements

• (Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).

• Excellent communication and stakeholder management skills.

• Solid experience in Agile/Scrum leadership, driving productivity and team performance.

Ideal Candidate Profile

• Priority expertise:

• Generative AI Leadership

• AI/ML Foundation

• Enterprise Architecture & Hybrid Deployments

• A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.



## Qualifications
* 5+ years of non-internship professional software development experience
* 5+ years of programming with at least one software programming language experience
* 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
* Experience as a mentor, tech lead or leading an engineering team
* Experience programming in Java, C++, Python or related language
* Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
* Experience building large-scale machine learning and AI solutions at Internet scale
## Benefits
* Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment
* Medical, Dental, and Vision Coverage
* Maternity and Parental Leave Options
* Paid Time Off (PTO)
* 401(k) Plan
* The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market
* Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
## Responsibilities
* As a Machine Learning Engineer on GO-AI's Technology & Development Team, you'll be at the center of this transformation
* You'll work with massive-scale, proprietary datasets to develop vision-language models that achieve human-level performance on complex real-world tasks
* You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale
* Build and optimize distributed training infrastructure for large-scale vision-language models at unprecedented scale
* Design and implement high-throughput production inference systems that serve foundation models at Amazon scale with strict latency and reliability requirements
* Develop large-scale data and media processing pipelines to handle massive volumes of video, image, and annotation data for model training and evaluation
* Create automated retraining pipelines and performance monitoring systems to maintain model accuracy in dynamic production environments
* Work closely with scientists and engineers to deliver scalable, high-performance systems that power state-of-the-art AI applications

## Full Description
DESCRIPTION

Amazon Robotics is at the forefront of applying state-of-the-art AI to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art artificial intelligence. We partner with customersacross Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation.

Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions.

As a Machine Learning Engineer on GO-AI's Technology & Development Team, you'll be at the center of this transformation. You'll work with massive-scale, proprietary datasets to develop vision-language models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon's global fulfillment network.

This is a rare opportunity to build AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale.

Key job responsibilities

• Build and optimize distributed training infrastructure for large-scale vision-language models at unprecedented scale

• Design and implement high-throughput production inference systems that serve foundation models at Amazon scale with strict latency and reliability requirements

• Develop large-scale data and media processing pipelines to handle massive volumes of video, image, and annotation data for model training and evaluation

• Create automated retraining pipelines and performance monitoring systems to maintain model accuracy in dynamic production environments

• Work closely with scientists and engineers to deliver scalable, high-performance systems that power state-of-the-art AI applications

A day in the life

Amazon offers a full range of benefits that assist you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

• 5+ years of non-internship professional software development experience

• 5+ years of programming with at least one software programming language experience

• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience as a mentor, tech lead or leading an engineering team

• Experience programming in Java, C++, Python or related language

• Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT

• Experience building large-scale machine learning and AI solutions at Internet scale

PREFERRED QUALIFICATIONS

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science, engineering, mathematics or equivalent, or Master's degree

• Experience in processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution)

• Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning

• Experience with training and deploying machine learning systems to solve large-scale optimizations

• Experience working cross functionally with tech teams

• Knowledge of automation control system logic, mechanism and protocol

• Mathematics and Statistics: strong understanding of linear algebra, calculus, probability, and statistics

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.




## Full Description
About The Role

Weu2019re seeking Arabic localization specialists to ensure AI-generated content is appropriate for Arabic-speaking audiences.

• Organization: Alignerr (Powered by Labelbox)

• Location: Remote

• Type: Hourly / Task-based Contract

• Compensation: $20-40 /hour

• Commitment: 10-40 hours/week

What Youu2019ll Do

• Review Arabic content for tone, register, and cultural relevance.

• Identify localization issues and suggest culturally appropriate alternatives.

• Provide structured feedback to improve localization quality.

• Work independently and asynchronously.

Who You Are

• Native or near-native Arabic speaker with strong English skills.

• Deep understanding of cultural and linguistic norms.

• Experience adapting content for Arabic-speaking markets.

Nice to Have

• Experience with regional variants of Arabic.

• Experience reviewing AI-generated content.

Why Join Us

• Competitive pay and flexible remote work.

• Lead a team working on cutting-edge AI projects.

• Exposure to advanced LLMs and how theyu2019re trained.

• Freelance perks: autonomy, flexibility, and global collaboration.

• Potential for contract extension.

Application Process (Takes 10-15 min)

• Submit your resume

• Complete a short screening

• Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



Life Sciences Data Architecture Manager | Hybrid & AI

Qualifications

Benefits

Responsibilities

Full Description

Zero to AI Engineer