4 Multiagent Frameworks Jobs

As a Senior Data Science Engineer Lead at our Bangalore location, you will be responsible for spearheading the development of intelligent, autonomous AI systems. Your role will involve leveraging technologies such as agentic AI, LLMs, SLMs, Vector DB, and knowledge graphs to design and deploy innovative AI solutions, focusing on enhancing enterprise applications. You will work as part of a cross-functional agile delivery team, bringing an innovative approach to software development and contributing to all stages of software delivery. In this position, you will design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. You will also implement RAG Pipelines by integrating LLMs with vector databases and knowledge graphs to create dynamic retrieval systems. Additionally, you will fine-tune language models, train NER models, develop knowledge graphs, collaborate cross-functionally, and optimize AI workflows using MLOps practices. To be successful in this role, you should have 15+ years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and AI/ML frameworks like TensorFlow or PyTorch. Experience with deploying AI models on cloud platforms, familiarity with semantic technologies, MLOps tools, vector databases, RAG architectures, and hybrid search methodologies is essential. Strong problem-solving abilities, analytical thinking, excellent communication skills, and the ability to work independently on multiple projects are also key requirements. We offer a range of benefits including best in class leave policy, parental leaves, reimbursement under childcare assistance benefit, sponsorship for certifications, employee assistance program, hospitalization insurance, accident and term life insurance, health screening, training, coaching, and a culture of continuous learning to support your career progression. Join us at our Bangalore location to be part of a collaborative team that strives for excellence every day. Visit our company website for more information about Deutsche Bank Group and our inclusive work environment. We welcome applications from all individuals who share our values of responsibility, initiative, and collaboration.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

About the position: We are looking for a Data Architect with 3 to 18 years of experience to take charge of designing and implementing scalable data systems, primarily focusing on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. The ideal candidate should possess in-depth knowledge of modern data architecture, advanced analytics, and intelligent agent frameworks to support the development of autonomous and intelligent systems. Your role will involve collaborating with data scientists, engineers, and business stakeholders to deliver innovative solutions aligned with enterprise objectives. Key Responsibilities: - Design and implement enterprise-grade data architectures. - Lead initiatives related to data modeling, governance, metadata management, data lineage, and master data management. - Develop scalable data solutions to facilitate real-time inference and autonomous agent systems. - Architect and deploy end-to-end pipelines to support AI/ML workloads, including data ingestion, feature engineering, and model lifecycle management. - Work closely with AI research and product teams to operationalize GenAI models and integrate them into business workflows. - Implement and scale retrieval-augmented generation (RAG) and fine-tuning frameworks in production environments, as well as knowledge graphs. - Design data platforms to support multi-agent systems, ensuring seamless orchestration, communication, and memory management among agents. - Architect data flow and backend systems to support agentic workflows such as task decomposition, context switching, and reinforcement feedback loops alongside knowledge graphs. - Utilize frameworks like LangChain, Langgraph, AutoGen, CrewAI, or similar tools to build and manage autonomous and collaborative agents. - Demonstrate expertise in feedback loop design and development for multi-agent or agentic frameworks. Key Skills: - Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Proven track record of working with Generative AI models, LLMs (e.g., GPT, Claude, LLaMA), and orchestration frameworks (LangChain, LlamaIndex, Langgraph). - Familiarity with multi-agent frameworks (e.g., CrewAI, AutoGen, ReAct, CAMEL) and agentic AI design principles. - Strong understanding of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.). - Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications: - Experience in building production-grade agentic systems with adaptive learning and decision-making capabilities. - Knowledge of knowledge graphs, semantic search, and advanced RAG pipelines. - Certifications in cloud platforms or AI/ML specializations (e.g., AWS Certified Data Analytics, Google ML Engineer). Join Xoriant: Xoriant is a leading provider of digital engineering services, known for its expertise in building and operating complex platforms and products at scale. With a legacy of three decades in software engineering, we blend modern technology skills in Data & AI (GenAI), cloud & security, domain, and process consulting to address intricate technology challenges. Serving over 100 Fortune 500 companies and tech startups, we aim to support their growth journey. As a "right-sized" company, we bring agility through our 5000+ passionate XFactors from over 20 countries, fostering a culture focused on purpose and employee happiness. Join us at Xoriant: - Experience an inclusive workspace where imagination turns into reality every day. - Contribute to a better future through tech & innovation as part of a passionate team. - Make a positive impact in the community by volunteering and building a stronger business and society. - Support your career growth to ensure long-term success by staying curious and driving innovation. - Prioritize well-being with multiple health benefits and maintain work-life balance. - Value your work with meaningful rewards and recognitions. - Celebrate diversity, inclusivity, and togetherness through festivals as one Xoriant Family. - Connect directly with leaders and voice your opinion through Candid Connects. - Bring new ideas to the fore and realize them through engineering in a culture of Ideation. If you believe you have the XFactor, we have a chair dedicated to your name. Apply now to be a part of Xoriant's journey. Visit www.xoriant.com for more information. Important Notice: If you encounter any suspicious job offers or fraudulent communication bearing Xoriant branding, please contact us at careers@xoriant.com immediately. Equal Employment Opportunity Statement: At Xoriant, we are dedicated to offering equal employment opportunities to all individuals, irrespective of race, color, religion, gender, national origin, age, disability, or veteran status. Our inclusive workplace values diversity and ensures fair treatment and respect for all employees, fostering a sense of belonging. We strive to create a supportive environment where everyone has the opportunity to succeed and contribute to our collective success. Qualifications: - Bachelor's or master's degree in Computer Science or a related field. Location: - Primary Location: Pune - Other Locations: Mumbai Job Details: - Role: Data Architect GenAI - Location: Pune/Hyderabad/Mumbai - Experience: 3 to 18 years - Job type: Full-time - Work type: Hybrid - Job Posting: Jul 17, 2025, 4:10:40 AM Primary Skills: AI Secondary Skills: Generative AI,

You are a Data Science Engineer who will be contributing to the development of intelligent, autonomous AI systems. The ideal candidate should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. As part of the flexible scheme, you will enjoy various benefits such as a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit reimbursement, sponsorship for industry-relevant certifications, employee assistance program, comprehensive hospitalization insurance, accident and term life insurance, and health screening. Your key responsibilities will involve designing and developing Agentic AI Applications using frameworks like LangChain, CrewAI, and AutoGen, implementing RAG Pipelines, fine-tuning Language Models, training NER Models, developing Knowledge Graphs, collaborating cross-functionally, and optimizing AI workflows. To excel in this role, you should have at least 4 years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and familiarity with AI/ML frameworks like TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms, understanding of LLMs, SLMs, semantic technologies, and MLOps tools is required. Additionally, hands-on experience with vector databases, embedding techniques, and developing AI solutions for specific industries will be beneficial. You will receive support through training, coaching, and a culture of continuous learning to aid in your career progression. The company strives for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They promote a positive, fair, and inclusive work environment for all individuals. For further information about the company and its teams, please visit the company website at https://www.db.com/company/company.htm. Join a team that celebrates success and fosters a culture of excellence and inclusivity.,