5 Aillm Technologies Jobs

Role Overview: As a Forward Deployed Engineer - Deployment Strategist at Salesforce, you will play a pivotal role in deploying AI-powered solutions on Salesforce to drive business impact and adoption. Your responsibilities will include leading the analysis, design, and hands-on solutioning of intelligent AI-powered agents, overseeing the deployment process, and collaborating with client teams to address their operational challenges and strategic goals. You will also serve as a trusted technical advisor and lead a group of peers in the execution of deployment initiatives. Key Responsibilities: - Lead the analysis, design, and hands-on solutioning of intelligent AI-powered agents within Salesforce environments - Own the end-to-end data landscape, designing robust data models and building efficient processing pipelines - Oversee the successful deployment of solutions, monitor performance, and implement optimizations for long-term reliability - Focus on rapid prototyping, iterative development, and quick delivery of impactful solutions - Embed deeply with client teams to understand their operational challenges and act as a primary technical advisor - Serve as a vital feedback loop between customers and internal product/engineering teams - Analyze existing business processes and guide customers through process transformation and reengineering - Lead a group of peers in the execution of deployment initiatives, providing technical guidance and ensuring successful project delivery Qualifications Required: - 14+ years of overall experience & 5+ years of hands-on solutioning experience in cloud-based technologies - Understanding of the Salesforce platform, including Flow, Lightning Web Components, and Salesforce APIs - Hands-on experience with AI/LLM technologies - Proficiency in data modeling, processing, integration, and analytics - Exceptional ability to confront open-ended problems in unstructured environments - Demonstrated entrepreneurial spirit and focus on fast delivery and measurable customer impact - Excellent collaboration and communication skills - Proven team leadership experience - Prior customer-facing experience in a technical or consulting role - Ability to travel 25-50% of the time as needed Note: Salesforce is the leading workforce transformation company in the agentic era, empowering individuals to drive innovation and better business through AI solutions. Join Salesforce to redefine what's possible for yourself, for AI, and for the world.,

As the Quality and Training Effectiveness Manager at YouTube, you will have the opportunity to work in either Hyderabad, Telangana, India, or Bengaluru, Karnataka, India. To qualify for this role, you should have a Bachelor's degree or equivalent practical experience along with at least 5 years of experience in project management and stakeholder management. Preferred qualifications for this position include an MBA or Six Sigma certification, experience with AI/LLM technologies, and expertise in collecting, synthesizing, analyzing, and visualizing complex sources of data to derive insights and recommendations for operational efficiency. You should also possess the ability to identify and implement automation opportunities, familiarity with dashboard tools like SQL/Dremel, Data Studio, or Tableau, and the skills to build compelling narratives that enable thoughtful decision-making and collaboration with partners. In this role, you will be part of the Global Vendor Operations (GVO) organization at YouTube, overseeing vendor operations for all YouTube users globally. The Quality & Training Effectiveness (QTE) team's mission is to enable quality and training teams across GVO to achieve scalable, standardized, and sustainable operational outcomes. You will collaborate with cross-functional teams to drive global training and quality initiatives, streamline workflows, automate tasks, and ensure consistent global operations. Your responsibilities will include designing and implementing a framework focused on user delight and operational excellence, identifying synergies across programs, reducing complexity through process automation, utilizing advanced data analysis and AI/LLM models, and designing data pipelines and dashboards for real-time insights. Your role will be vital in driving operational excellence within GVO and contributing to YouTube's mission of giving everyone the power to share their story and connect with others through technology and creativity.,

As a Forward Deployed Engineer - Deployment Strategist at Salesforce, you will play a crucial role in deploying AI-powered solutions on Salesforce, focusing on business impact and adoption. Your responsibilities will include leading a peer group of FDEs, overseeing deployments, fostering collaboration, setting goals, and addressing challenges. You will connect customer needs with product development to influence enhancements and accelerate the product roadmap, ensuring the Agentforce platform remains at the forefront of AI solutions. Your role will involve deeply understanding customers" complex problems and crafting innovative solutions using the Agentforce platform and beyond. Your impact will be seen in various areas: - Strategic Solution Architecture & Design: You will lead the design and solutioning of intelligent AI-powered agents within Salesforce environments, synthesizing complex business challenges into actionable technical requirements and deployment plans. - AI & Data Mastery for Impact: Owning the end-to-end data landscape, you will design robust data models, build processing pipelines, and establish integration strategies to build sophisticated AI solutions. - Full-Lifecycle Deployment & Optimization: You will oversee successful solution deployments, monitor performance, identify bottlenecks, and implement optimizations for long-term reliability and security. - Entrepreneurial Execution & Rapid Prototyping: Operating with a mindset of getting things done, you will focus on rapid prototyping, iterative development, and quick delivery of impactful solutions. - Trusted Technical & Strategic Partner: You will embed deeply with client teams, act as a technical advisor, and drive measurable value and adoption. - Product Evolution & Feedback Loop: Your observations in the field will directly influence future product enhancements and contribute to broader product improvements. Required Qualifications: - 14+ years of overall experience & 5+ years of hands-on solutioning experience - Understanding of Salesforce platform and ecosystem - Hands-on experience with AI/LLM technologies - Experience in data modeling, processing, integration, and analytics - Demonstrated entrepreneurial spirit and ability to confront open-ended problems - Excellent collaboration and communication skills - Proven team leadership experience - Prior customer-facing experience in a technical role Preferred Qualifications: - Experience with Salesforce Data Cloud and/or Agentforce platform - Proficiency in programming languages - Salesforce platform certifications - Knowledgeable across Salesforce CRM - Experience with AI/ML concepts beyond LLMs - Experience deploying solutions in customer environments Travel: Ability to travel 25-50% of the time, as needed to customer sites.,

As an experienced and dynamic AI Solutions Architect, you will be leading and managing AI-driven projects, focusing specifically on large language models (LLMs). Your role will require a combination of technical expertise in AI/LLM technologies and strong project management skills to ensure the successful delivery of high-impact solutions to clients and stakeholders. Your responsibilities will include leading AI/LLM-based projects from concept to deployment, collaborating with product teams to define project scope, creating and maintaining detailed project plans, driving project strategies, overseeing the design, development, and deployment of AI/LLM solutions, providing technical leadership when necessary, and ensuring alignment with industry best practices and business goals. You will also be expected to stay updated with advancements in AI and LLM technologies, act as a key point of contact between clients, product, and engineering teams, facilitate communication between technical and non-technical stakeholders, manage client expectations, identify and mitigate risks, resolve roadblocks, ensure quality control, monitor project progress, and drive continuous improvement in AI/LLM project management processes. To qualify for this role, you should have a Bachelor's or Master's degree in computer science, engineering, or a related field, along with at least 5 years of experience in project management focusing on AI or LLM technologies. You should have demonstrated experience in managing cross-functional teams, delivering complex AI/ML or LLM projects on time and within budget, and a strong understanding of AI/ML algorithms, LLMs, and NLP techniques. Additionally, proficiency in AI/LLM development tools, frameworks, and platforms, familiarity with cloud computing platforms and programming languages commonly used in AI/ML development, strong organizational and problem-solving skills, exceptional communication and stakeholder management skills, and relevant certifications or experience in scaling AI/LLM solutions in real-world applications would be preferred qualifications. Overall, this role requires a blend of technical expertise, project management skills, stakeholder management, and a commitment to delivering high-impact AI solutions to clients and stakeholders.,

As a Quality and Training Effectiveness Manager in the Global Vendor Operations (GVO) organization at YouTube, you will have the opportunity to drive global training and quality initiatives by collaborating with cross-functional teams to implement process improvements and leverage AI solutions. Your role will involve streamlining workflows, automating tasks, and ensuring consistent global operations to deliver measurable impact on both training effectiveness and overall quality. The GVO organization oversees vendor operations for all of YouTube, providing support to all YouTube users globally. The Quality & Training Effectiveness (QTE) team within GVO focuses on enabling quality and training teams to achieve scalable, standardized, and sustainable operational outcomes. By creating processes and systems that can grow with the business, the team aims to simplify complex processes, deliver insights into operational performance, and drive operational excellence within GVO. Your responsibilities will include designing and implementing a comprehensive framework focused on user delight and operational excellence, driving continuous improvement through strategic reviews and data-driven analysis. You will identify and leverage synergies across programs to maximize business impact, develop resilient operational systems, reduce complexity through process automation, and utilize advanced data analysis and AI models to enhance decision-making and drive predictive analytics. Additionally, you will design and maintain data pipelines and dashboards for real-time insights, collaborate with technical teams to deploy tailored AI solutions, and ensure effective performance monitoring and continuous improvement. Your role will be crucial in fostering innovation, reducing complexity for stakeholders, and adapting to future changes in order to drive operational excellence within GVO. At YouTube, we believe in giving everyone the power to share their story, explore what they love, and connect with one another. As part of our team, you will work at the intersection of cutting-edge technology and boundless creativity, moving at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun together as we listen, share, and build community through our stories. Join us on this exciting journey of empowering voices and creating meaningful connections.,