10 Virtual Assistants Jobs

Role & responsibilities Participate in business-facing activities such as presenting current solutions, conducting workshops to understand requirements, and participating in business development efforts. Lead the design and deployment of virtual/voice assistants to address complex business challenges and improve outcomes. Work closely with cross-functional international teams to design and implement virtual/voice assistants. Consult on customer projects and work packages that meet business requirements Understand and analyze business requests Maintain effective relationship with business teams, understand their priorities and new requirements for existing business automations Create and maintain communication bridge between business teams, SMEs and teams of technical experts located globally Customer and stakeholder management, change management, and deployment support Act as the regional point of contact for all business requests (new functionalities or customization), providing regular updates to project manager on project progress, risks, and issues What do we expect from you: Proven experience of 5+ years in consulting on IT customer projects in a fast-paced global environment 3+ years of experience with consultancy/business analysis of virtual/voice assistants Ability to work in GMT-3/GMT-4 time zone Work closely with cross-functional teams, including project managers, application developers and testers to ensure alignment on project goals and deliverables. Excellent leadership, communication, and interpersonal skills. Ability to work collaboratively with diverse global teams and business stakeholders. Experience in Agile delivery environment Degree in IT or relevant field; M.Sc/BE/MCA is a plus These certifications would be a plus: PRINCE2 Practitioner, Prince 2 Agile or PMP Experience in handling external & internal stakeholders and ability to convey technological capabilities of Virtual/Voice Assistants to business stakeholders. Strong communication, presentation, and project management skills paired with empathy to easily navigate corporate, as well as managerial / business and tech environments. Ability to work with maximum autonomy and deliver high quality results. Good communication skills with the ability to present, read and write details to technical and non-technical audience in English. Strong problem-solving abilities for identifying and addressing challenges that arise during projects Experience with Google DialogFlow ES would be a plus Knowledge of telephony systems (Avaya or Genesys) would be a plus Preferred candidate profile

As a Full Stack GCP Cloud Engineer, you will be responsible for developing and designing AI solutions encompassing components such as Chatbots, Virtual Assistants, and Machine Learning. You will collaborate with peers from various technology disciplines to ensure that the AI platform and solutions meet both business and technical requirements. Your role will involve leading technical workshops to drive strategic initiatives, as well as developing and managing relationships with internal and external vendors. You will work closely with program teams to understand their challenges and objectives, providing recommendations and fostering agreement on the architecture. In this position, you will oversee and manage the complete AI program life cycle implementations. Additionally, you will support and guide engineering teams by offering technical oversight during implementation and taking ownership of technical delivery. It will be your responsibility to ensure that all architectural considerations and non-functional requirements related to high availability, scalability, maintainability, and extensibility are incorporated into the core system. Moreover, you will be involved in implementing proof of concepts, sample use cases, and core platform components for a highly scalable application.,

As an NLP Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge AI and analytics projects to help Fortune 1000 companies overcome their toughest challenges. You will be part of a global team of technologists and consultants dedicated to empowering businesses to achieve real outcomes and value at scale. Your role will involve collaborating with experienced team members on internal product development and client-focused projects, with a focus on the pharma domain. You will play a key role in designing, developing, and deploying GenAI solutions, with a particular emphasis on addressing challenges like hallucinations, bias, and latency. Your day-to-day responsibilities will include supporting the full lifecycle of AI project delivery, fine-tuning Large Language Models (LLMs) for specific business needs, and developing scalable pipelines for AI model deployment. You will also have the opportunity to collaborate with internal teams and external stakeholders, particularly in the pharma space, to understand business requirements and contribute to the development of tailored AI-powered systems. Additionally, you will actively participate in a collaborative environment, sharing ideas and working as part of a dynamic team of data scientists and AI engineers. To be successful in this role, you should have 7-9 years of experience in NLP, AI/ML, or data science, with a proven track record of delivering production-grade NLP & GenAI solutions. You should have deep expertise in LLMs, transformer architectures, and fine-tuning techniques, as well as strong knowledge of NLP pipelines, text preprocessing, embeddings, and named entity recognition. Experience with Agentic AI systems, LLM observability tools, and AI safety guardrails is also essential. Proficiency in Python and backend development, familiarity with MLOps and cloud platforms, and prior experience in regulated industries like life sciences or pharma are all advantageous. A problem-solving mindset, the ability to work independently, drive innovation, and mentor junior engineers are key qualities we are looking for in candidates. The compensation package for this role will be commensurate with your expertise and experience, and you will also have access to additional benefits such as health insurance, a virtual wellness platform, and knowledge communities.,

You will be a highly motivated Healthcare AI Solutions Sales Specialist responsible for leading sales and client engagement for Kore.ai's HealthAssist platform. Your primary focus will involve working with hospitals, clinics, health systems, and insurance providers to understand their operational and engagement challenges. By leveraging intelligent AI-driven solutions, you will aim to enhance care access, reduce costs, and improve patient and employee journeys. Your key responsibilities will include engaging with healthcare executives such as CIOs, CMIOs, COOs, Heads of Patient Access, Revenue Cycle, and Digital Transformation. You will lead discovery sessions to identify client pain points in various areas including appointment scheduling, patient access, contact center deflection, claims and benefits inquiries, medication management, member onboarding, and chronic condition support. Additionally, you will showcase how Kore.ai's HealthAssist platform can be deployed across different channels like Web, Mobile, IVR, and Messaging Channels. In this role, you will be required to deliver product demonstrations, build business cases, and lead ROI discussions. Collaboration with solution engineers and delivery teams to customize proposals will be essential. You will also be responsible for responding to RFPs/RFIs, negotiating contracts, and closing deals. Maintaining CRM records, accurate forecasting, and meeting or exceeding revenue targets are key aspects of this position. Staying updated on healthcare automation trends and AI capabilities will be crucial to your success. To qualify for this role, you should possess a Bachelor's degree in Business, Healthcare Administration, or a related field along with 3-7 years of sales experience in Healthcare IT, AI Platforms, or SaaS solutions. A good understanding of healthcare operations, patient/member journeys, and digital transformation goals is required. Familiarity with HIPAA, HL7/FHIR, and EHR systems like Epic and Cerner is preferred. Excellent communication and consultative selling skills are essential for this role. Preferred experience includes direct sales experience with Conversational AI, Virtual Assistants, or Patient Experience platforms. Knowledge of Kore.ai or competing platforms like Nuance, Orbita, or Hyro will be advantageous. In return, we offer a competitive base salary with uncapped commissions, remote flexibility, and work-life balance. You will have access to advanced AI platforms and top-tier sales enablement. Additionally, we provide health, dental, vision, and wellness benefits along with a growth path into AI and Digital Transformation leadership roles.,

As a Mid-Level LLM Application Developer with 3+ years of experience in software development, you will have the opportunity to work on designing, developing, and deploying scalable LLM-powered solutions using Azure OpenAI, Python, and LLM frameworks. Your role will involve collaborating with cross-functional teams to bring innovative AI solutions to life, leveraging generative AI and agentic technologies. Responsibilities: - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Extend digital products and platforms with new capabilities and LLM Apps. - Support the adoption of digital platforms and LLM Apps by onboarding new clients and driving automation for client adoption. - Build end-to-end Retrieval-Augmented Generation (RAG) pipelines and develop conversational agents and virtual assistants using frameworks like LangChain or LlamaIndex. - Integrate LLMs with external tools, APIs, and business data systems. - Deploy and manage applications using Azure Functions, Azure AI services, and serverless components to ensure performance, scalability, and reliability of AI solutions on Azure. - Collaborate across teams and participate in agile development processes. Required Skills (Must Have): - Strong proficiency in Python programming language. - Expertise in Azure OpenAI Service, including foundation model usage, GPT Model family, and integration. - Deep experience in prompt engineering and building RAG pipelines with vector databases and tool integrations. - Proven experience developing chatbots or virtual assistants using LLMs. - Proficiency in at least one LLM application framework. - In-depth understanding of LLM models, their capabilities, and applications. - Experience deploying with Azure Function Apps and broader Azure ecosystem. - Solid grasp of API integrations and data workflow design. - Strong problem-solving skills and ability to deliver scalable, efficient code. - Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): - Understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs. - Experience building cloud-native services with serverless architectures. - Familiarity with NLP techniques and data transformation pipelines. - Familiarity with LLMOps concepts and AI model lifecycle. Qualifications: - Bachelors degree in computer science, Computer Engineering, or a related field. - 3+ years of experience in software development. - Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant,

As a Senior AI eCommerce Developer at Orange Business, you will play a crucial role in developing robust systems that seamlessly integrate traditional eCommerce functionalities with AI-driven enhancements. Your responsibilities will include estimating workloads, planning projects, and monitoring execution to ensure timely delivery and high quality. You will have the opportunity to build AI-powered capabilities that drive conversational commerce, predictive analytics, dynamic pricing models, and personalized customer journeys. Collaboration with cross-functional teams across Europe and North Africa is essential to align technical solutions with business objectives. In this role, you will mentor and guide development teams on industry best practices, design patterns, and emerging technologies. Facilitating technical decision-making and ensuring all deliverables meet rigorous standards for security, performance, and scalability will be key aspects of your responsibilities. Identifying and resolving intricate technical and business challenges by proposing innovative and optimized solutions will be part of your daily tasks. Your active participation in agile ceremonies such as scrum and sprint planning will be crucial in adapting quickly to evolving priorities based on feedback and market needs. Your experience in building scalable enterprise-grade eCommerce systems, coupled with proven expertise in front-end frameworks like Angular and microfront-end development, will be highly valued in this role. Proficiency in designing and developing RESTful APIs within a microservices architecture, as well as integrating complex systems, will be essential. Your knowledge of Continuous Integration practices, containerized environments, Business Process Management, and workflow automation will be utilized to ensure efficient end-to-end process management within the eCommerce ecosystem. Your soft skills, such as the ability to clearly explain technical concepts to non-technical audiences, proficiency in English (additional proficiency in French is a plus), strong multitasking abilities, adaptability, collaborative mindset, proactive approach to finding innovative solutions, and commitment to agile principles and continuous improvement, will contribute to your success in this role. Join Orange Business as a Senior AI eCommerce Developer and be part of a dynamic team that values innovation, collaboration, and excellence in eCommerce solutions.,

As an AI Learning Specialist at our organization, you will play a crucial role in designing, implementing, and managing AI-powered learning solutions to enhance adaptive, data-driven, and personalized learning experiences. By combining instructional design, data analytics, and AI/ML integration, you will revolutionize how learners engage with digital content in corporate or educational settings. Your key responsibilities will include creating adaptive learning modules using AI-powered platforms, collaborating with L&D teams and IT to integrate AI/ML tools into learning environments, leveraging AI and machine learning to analyze learner behavior, engagement, and knowledge gaps, and staying updated with AI trends in education and L&D. Additionally, you will be translating business needs into AI-based learning use cases, training internal stakeholders on the use of AI tools for content generation and data analysis, setting up chatbots and virtual assistants for learning support, providing actionable insights to enhance learning journeys, and evaluating new tools to align with learning innovation goals. To excel in this role, you should hold a Bachelors or Masters degree in Instructional Design, Education Technology, Computer Science, or a related field, possess 3-5 years of experience in L&D, instructional design, or digital learning development, and have hands-on experience with AI tools in training contexts. A strong understanding of adult learning principles, data-driven learning design, and a passion for learning innovation and emerging technologies are preferred traits. Collaborating effectively with cross-functional teams and being able to translate technical concepts into engaging learning experiences will be essential to your success. At our organization, we celebrate creativity, curiosity, and continuous learning as key components of your career growth journey. We value your unique experiences and volunteer work, and we encourage you to update your Resume/CV and Workday profile to reflect your Adobe journey. Internal mobility opportunities are available, and we recommend setting up job alerts for roles that interest you. Preparing for interviews and effectively communicating your career growth aspirations to your manager are important steps in the process. If you are seeking a rewarding career in a dynamic work environment where feedback flows freely and colleagues support each others growth, Adobe is the place for you. Discover the meaningful benefits we offer and explore career experiences shared by our employees on the Adobe Life blog. For any accessibility needs during the application process, please contact us at accommodations@adobe.com or call (408) 536-3015.,

As a Principal Engineer - Artificial Intelligence at Commvault, you will have the exciting opportunity to be part of an exceptional engineering team that thrives on innovative ideas. We are looking for individuals who are passionate about leveraging AI to enhance customer interactions, streamline processes, and drive overall business growth. Your responsibilities will include designing, developing, and deploying advanced AI models such as machine learning algorithms, natural language processing, and computer vision to tackle specific customer experience challenges. You will be collecting, cleaning, and analyzing large datasets to identify patterns, trends, and insights that will inform the development and optimization of AI models. Integration of AI solutions seamlessly into existing customer experience systems and platforms to ensure a cohesive and personalized customer journey will be a key aspect of your role. Continuous refinement and improvement of AI models to enhance their accuracy, efficiency, and effectiveness in delivering exceptional customer experiences will be a priority. You will also be involved in developing and testing AI-powered prototypes and Proof of Concepts (POCs) to demonstrate the feasibility and value of proposed solutions. Collaboration with cross-functional teams, including product managers, designers, and customer success representatives, to align AI initiatives with business objectives and customer needs is essential. To excel in this role, you should have a Bachelor's degree along with strong programming skills in Python or other relevant programming languages. Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, and Scikit-learn, is required. In-depth knowledge of machine learning algorithms, natural language processing techniques, cloud platforms, AI services, CRM systems, and ethical AI practices is necessary. Experience with AI-powered chatbots or virtual assistants, as well as security and SaaS experience, is strongly preferred. At Commvault, we offer a supportive work environment with benefits such as an Employee Stock Purchase Plan (ESPP), continuous professional development, annual health check-ups, and more. We value inclusivity, professional growth, and work-life balance. If you are ready to #makeyourmark at Commvault and contribute to cutting-edge AI solutions, we encourage you to apply now and be a part of our dynamic team.,

As a Contact Centre Data and AI Architect, you will be responsible for leveraging your deep knowledge of Genesys (including InfoMart, UCS, GAAP, SpeechMiner, WFM, and Routing) and Five9 data ecosystem. Your expertise will be crucial in supporting the migration of contact centers to CCaaS and developing data solutions around this migration. Your role will involve defining a data strategy to migrate historical and real-time data to the cloud while ensuring minimal disruption to downstream systems. You will need to understand data models for Genesys (InfoMart, SpeechMiner) and create mappings to cloud equivalents. Collaboration with data architects will be essential to ensure reporting continuity and regulatory compliance. Furthermore, you will evaluate and recommend data architectures that minimize the impact on downstream systems during the migration to CCaaS. Your expertise will be pivotal in identifying opportunities to enhance customer experience through AI technologies such as intent detection, virtual assistants, predictive routing, and sentiment analysis. Collaboration with internal AI/ML teams is crucial to define data-driven automation use cases and implementation strategies. Working closely with IT, customer service operations, business teams, and external CCaaS vendors will be part of your daily responsibilities. Additionally, you will participate in vendor evaluations and selection processes for CCaaS and AI solutions. Your role will also involve engaging in interviews with various business stakeholders to understand their contact center needs and assess the impact on downstream applications. This position requires a high level of expertise in contact center data and AI technologies, strong collaboration skills, and the ability to drive successful migration strategies.,

JOb Discription : Design, development and tuning of customer facing AI applications. Identify training data for voice and text-based applications. Train and test custom speech language and acoustic models Control speech synthesis of text through Speech Synthesis Markup Language (SSML) customizations. Create custom word pronunciations through the use of phonetic symbols Collaborate with technical product team, product owners and stakeholders to deliver a product that meets business, cyber, compliance and privacy requirements Perform other duties as assigned Conform with all company policies and procedures Advanced knowledge of information technology systems Knowledge of security methodologies, policies, standards and best practices Advanced knowledge of conversational AI systems and Natural Language Understanding (NLU) Advanced knowledge of testing methodology of cognitive solutions Knowledge of building AI systems for SaaS applications Knowledge of pre-trained language models Knowledge of best practices in information technology governance and regulatory landscape for financial institutions Significant experience in large and complex business environment Advanced experience developing and deploying voice and text conversational flows for virtual agents or virtual assistants Experience with developing dialog interpreters Experience with conversational patterns, such as disambiguation, digressions, slot filling and question answering Advanced level experience with Java, JSON, NLP, Python, R Experience with Cognitive Intelligence technologies and frameworks/systems such as Node JS, Javascript Ability to work in cross-functional teams with product management, user experience and engineering teams Ability to train, educate and mentor team members in area of AI Systems and NLU Ability to challenge the status quo, be curious and dare to innovate Ability to exercise independent judgement and make sound, fact-based decisions