23 Multiagent Systems Jobs

As an AI Research Scientist at Cognizant, you will be joining the Advanced AI R&D lab team in Bangalore, India. You will collaborate with the research team to develop innovative solutions to complex scientific challenges using technologies like LLMs, evolutionary algorithms, and other AI techniques. Your focus will be on advancing Generative AI, LLMs, and domain-specific AI solutions to push the boundaries of AI technology. Your responsibilities will include conducting advanced research in AI/ML and Generative AI to address significant business and societal issues, designing and optimizing models with unique architecture and training methods, and publishing research findings in top-tier journals and conferences such as IEEE. You will work closely with product teams, AI engineers, domain experts, and clients to translate research into practical solutions, contribute to open-source communities, and mentor junior researchers and engineers. To qualify for this role, you should hold a PhD in Computer Science or a related technical field, with exceptional candidates holding a bachelor's or master's degree also considered. The ideal candidate will have hands-on experience with LLMs, at least 2 years of experience with multi-agent systems, 5+ years of AI or ML research experience, and a strong publication record in reputable conferences and journals. Additionally, you should possess strong implementation, development, and debugging skills in Python, familiarity with AI frameworks like PyTorch and TensorFlow, excellent problem-solving abilities, attention to detail, and effective communication skills.,

Our AI Research & Consulting Lab in Bangalore is seeking a PhD-qualified Consultant to take on the responsibility of leading enterprise advisory on agentic AI-driven workflow transformation. This position is tailored for a visionary individual whose doctoral research delved into exploring how Generative AI agents, equipped with capabilities such as perception, planning, memory, and autonomy, can revolutionize the work structure. As a Consultant, you will be tasked with guiding clients on integrating agentic AI models into their business workflows, with a focus on: - Identifying roles that can be enhanced or substituted by intelligent agents. - Determining functions where agentic systems can independently make decisions across various domains like operations, service, or support. - Developing pathways for redeployment and upskilling initiatives for employees affected by AI implementation, while aligning with sustainable workforce strategies. Key Responsibilities: Client Engagement & Analysis: - Evaluate current workflows, organizational charts, and decision-making processes to pinpoint areas where agentic AI can enhance, replace, or optimize roles. - Provide diagnostic frameworks to align tasks with agent capabilities, such as perception (NLP/vision), planning (ReAct, AutoGPT), tool use (LangChain agents), and memory. - Demonstrate technical expertise in architecting and implementing Agentic AI workflows, encompassing Business Architecture and Agentic AI Technical Architecture. Transformation Design: - Devise strategies that incorporate autonomous AI agents into various business functions like customer support, HR, finance ops, and sales intelligence. - Suggest organizational redesigns that mirror the future workforce comprising a blend of agents and humans. Human Capital Strategy: - Offer guidance to HR and L&D leaders on restructuring redundant roles through skill gap analysis and AI-driven upskilling paths. - Define AI-readiness profiles and role evolution matrices for different enterprise job families. Thought Leadership & Enablement: - Publish insights and contribute to the firm's perspective on agentic systems within enterprise transformation. Required Qualifications: - Hold a PhD in Artificial Intelligence / Organizational AI / Multi-Agent Systems, with a focus on Agentic AI systems, generative AI applications, and workforce redesign. - Graduated from a prestigious institution like IISc Bangalore, IITs, or ISB. - Possess a strong foundation in LLMs, autonomous agents, agent frameworks, and enterprise AI applications, along with exceptional analytical, stakeholder management, and executive communication skills. Preferred Skills: - Previous consulting experience in enterprise AI or transformation, whether through internships or full-time roles. - Hands-on experience in designing or deploying AI agents in practical scenarios. - Familiarity with enterprise platforms like Salesforce, Snowflake, and their potential for AI integration.,

As a candidate for the position, your main responsibility will involve designing and implementing intelligent Agentic AI systems using LLMs, vector databases, and orchestration frameworks. You will also be tasked with building, deploying, and maintaining ML workflows utilizing AWS SageMaker, Lambda, and EC2 with Docker. Another key aspect of the role will be developing and managing ETL pipelines through AWS Glue and integrating them with structured/unstructured data sources. Additionally, you will be expected to implement APIs and full-stack components to support ML agents, including visualization tools using Streamlit, as well as reverse-engineer existing codebases and APIs to integrate AI features into legacy or proprietary systems. To excel in this role, you must have hands-on experience with AWS services like Lambda, EC2, Glue, and SageMaker. Strong proficiency in Python and full-stack development is essential, along with a solid grasp of LLMs and vector search engines. Demonstrated ability to reverse-engineer systems and build integrations is also required, as well as experience with cloud infrastructure, RESTful APIs, CI/CD pipelines, and containerization. Preferred qualifications for this position include a background in Retrieval-Augmented Generation (RAG), multi-agent systems, or knowledge graphs, experience with open-source LLM frameworks like Hugging Face, knowledge of autonomous task planning, symbolic reasoning, or reinforcement learning, and exposure to secure, regulated, or enterprise-scale AI systems. Overall, this role demands a strong blend of technical skills encompassing AWS, Python, and full-stack development, in addition to expertise with LLMs, vector search, and agentic AI systems.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms, working closely with project stakeholders to understand requirements and translate them into deliverables, utilizing statistical and machine learning techniques to analyze and interpret complex data sets, staying updated with the latest advancements in AI/ML technologies and methodologies, and collaborating with cross-functional teams to support various AI/ML initiatives. To qualify for this position, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, as well as a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), expertise in building secure data ingestion pipelines for unstructured data (ETL/ELT), proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks, experience with data visualization tools, knowledge of deep learning frameworks, experience with version control systems, and strong knowledge and experience in Generative AI/LLM based development. Good to have skills for this position include knowledge and experience in building knowledge graphs in production and understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, and we believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.,

You should be an experienced professional with 3 to 6 years of experience in the e-commerce domain. Your primary responsibilities will include developing AI-based Micro SaaS products customized for the e-commerce industry. You must demonstrate hands-on expertise in multi-agent systems and be well-versed in various AI frameworks and models such as LangChain, OpenAI, and Hugging Face. Additionally, you should have a strong background in integrating third-party APIs to facilitate seamless data exchange between different systems. Proficiency in Python programming is a must, along with experience in data processing, model implementation, and automation. A solid understanding of software architecture design is crucial for this role. You should be capable of designing scalable and modular systems and effectively communicating technical solutions to both technical and non-technical stakeholders. Experience or knowledge of cloud platforms like AWS, GCP, or Azure, and deployment strategies for SaaS applications would be an added advantage.,

You are a highly skilled Data Scientist with expertise in AI agents, generative AI, and knowledge engineering, tasked with enhancing AI-driven cloud governance solutions. Your main focus will be on advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs (OWL ontologies) in a Python environment. Working at the intersection of machine learning, AI-driven automation, and cloud governance, you will be responsible for designing intelligent agents that adapt dynamically to cloud ecosystems. Your contributions will play a crucial role in FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. Your key responsibilities will include designing, developing, and optimizing LLM-based multi-agent systems for cloud governance, implementing agent collaboration using frameworks like LangChain, AutoGen, or open-source MAS architectures, and developing adaptive AI workflows to enhance governance, compliance, and cost optimization. You will also be applying generative AI techniques such as GPT-4, Google Gemini, and fine-tuned BERT models to knowledge representation and reasoning, designing and managing knowledge graphs, OWL ontologies, and SPARQL queries for intelligent decision-making, and enhancing AI agent knowledge retrieval using symbolic reasoning and semantic search. Additionally, you will be developing embedding-based search models for retrieving and classifying cloud governance documents, fine-tuning BERT, OpenAI embeddings, or custom transformer models for document classification and recommendation, and integrating discrete event simulation (DES) or digital twins for adaptive cloud governance modeling. In the realm of cloud governance and automation, your tasks will involve working with multi-cloud environments (AWS, Azure, GCP, OCI) to extract, analyze, and manage structured/unstructured cloud data, implementing AI-driven policy recommendations for FinOps, SecOps, and DevOps workflows, and collaborating with CloudOps engineers and domain experts to enhance AI-driven automation and monitoring. To qualify for this role, you need to have at least 4+ years of experience in Data Science, AI, or Knowledge Engineering, strong proficiency in Python and relevant ML/AI libraries (PyTorch, TensorFlow, scikit-learn), hands-on experience with knowledge graphs, OWL ontologies, RDF, and SPARQL, expertise in LLMs, NLP, and embedding-based retrieval, familiarity with multi-agent systems, LangChain, AutoGen, and experience working with cloud platforms (AWS, Azure, GCP) and AI-driven cloud governance. Preferred qualifications include experience with knowledge-driven AI applications in cloud governance, FinOps, or SecOps, understanding of semantic search, symbolic AI, or rule-based reasoning, familiarity with event-driven architectures, digital twins, or discrete event simulation (DES), and a background in MLOps, AI pipelines, and cloud-native ML deployments. In return, you will have the opportunity to work on cutting-edge AI agent ecosystems for cloud governance in a collaborative environment that brings together AI, knowledge engineering, and cloud automation. Competitive compensation, benefits, and flexible work arrangements (remote/hybrid) are also part of the package. If you thrive in a fast-paced environment, demonstrate intellectual curiosity, and have a passion for applying advanced AI techniques to solve real-world cybersecurity challenges, this role is for you.,

As an AI Solution Architect at Cognizant, you will join a rapidly growing consulting and IT services company with a global presence and a commitment to innovation. The Cognizant AI Labs focus on pioneering scientific innovation and developing groundbreaking AI solutions responsibly. As part of the Advanced AI Lab / Neuro AI team, you will specialize in delivering tailored AI-driven solutions to enable organizations to solve complex challenges and unlock new growth opportunities. Your role will involve designing and implementing intelligent, autonomous systems using Generative AI and Agentic AI technologies to revolutionize business processes across various industries. You will leverage machine learning models, LLMs, and multi-agent systems to automate, optimize, and streamline business operations for clients. Key responsibilities include architecting end-to-end AI solutions, collaborating with sales teams, identifying opportunities for applying AI to improve business processes, and ensuring seamless deployment of AI solutions at scale. You will also be responsible for staying at the cutting edge of emerging AI technologies, providing mentorship to junior architects, and supporting clients through the full lifecycle of AI adoption. To qualify for this role, you should have a Master's degree or Ph.D. in Computer Science, Engineering, Data Science, or a related field, along with 5+ years of experience in AI architecture and machine learning technologies. You should also have expertise in AI models and frameworks, experience with cloud platforms, strong programming skills in Python and relevant AI development tools, and a deep understanding of business process automation and workflow optimization. Preferred skills include experience in deploying agentic AI technologies, familiarity with ethical considerations in AI systems, knowledge of enterprise architecture frameworks, and experience working in industries such as healthcare, finance, retail, manufacturing, or logistics. By joining Cognizant as an AI Solution Architect, you will work on transformative AI projects, integrate Generative and Agentic AI technologies, and have opportunities for career growth and advancement in a dynamic and innovative team environment with flexible work options.,

As an Applied AI Researcher in the deep-tech and AI research industry, you will be an integral part of our advanced research team. Your primary responsibility will be to design innovative multi-agent systems, develop domain-specific scaffolding techniques, and construct evaluation frameworks for cutting-edge AI systems. By combining LLMs, reinforcement learning, and multi-agent systems, you will play a crucial role in creating scalable and impactful solutions at the forefront of applied AI. Your key responsibilities will include: - Architecting and implementing novel multi-agent systems to facilitate advanced problem-solving and collaboration - Designing domain-specific scaffolding techniques to customize AI behavior for complex, real-world domains - Curating and managing high-quality datasets for training and evaluating AI models across scientific and industrial applications - Establishing robust evaluation frameworks to assess performance, alignment, and robustness - Researching and applying reinforcement learning techniques such as RLHF, DPO, and GRPO - Exploring post-training optimization, fine-tuning, and domain adaptation methods - Collaborating cross-functionally with engineering and product teams to transition research into production-ready solutions - Staying informed about the latest developments in AI and actively contributing to internal and external research communities - Documenting and communicating findings through technical reports, presentations, and publications To be successful in this role, you should possess the following qualifications: - A Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field - 4+ years of experience in applied AI research or equivalent industry R&D experience - Strong foundations in optimization, probability, and linear algebra - Expertise in Python and frameworks like PyTorch or JAX - Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) - Proficiency in building and aligning small language models (SLMs) and reasoning-specific models - Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks - Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) - Experience in designing evaluation metrics and performance analysis methodologies Preferred experience includes: - Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) - Applying AI to scientific domains such as drug discovery, chip design, or materials science - Exposure to multimodal models and VLMs - Experience with open-ended systems and emergent behavior in agent-based learning - Background in computational science (chemistry, physics, EE, or applied math) - Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow - Experience with domain adaptation, interpretability, and model optimization for deployment - Contributions to open-source AI projects - Expertise in building GPU-accelerated pipelines and optimizing inference at scale In return, we offer you the opportunity to work on high-impact, frontier research with real-world applications, access to high-performance computing resources, a collaborative and intellectually stimulating environment, autonomy to explore novel ideas aligned with our mission, and a competitive salary, benefits, and opportunities for growth.,

As a member of our team at Regal Rexnord, you will be responsible for designing and deploying advanced Generative AI solutions utilizing LLMs, multi-agent systems, and RAG architectures. Your role will involve building scalable and secure applications that integrate FastAPI, React/Streamlit, PostgreSQL, and vector databases. You will have the opportunity to leverage frameworks such as LangChain, CrewAI, and HuggingFace to orchestrate multi-step GenAI workflows efficiently. In this position, you will play a crucial role in implementing prompt engineering, fine-tuning, and performance monitoring to enhance model accuracy and reliability. Collaboration across teams to integrate GenAI features into enterprise platforms and deliver business value will be a key aspect of your responsibilities. Additionally, you will work on optimizing GenAI workloads using cloud-native services on Azure, including OpenAI, Functions, and Fabric. At Regal Rexnord, we prioritize model governance, responsible AI practices, and continuous improvement through robust MLOps pipelines. Our company is a publicly held global industrial manufacturer with 30,000 associates worldwide who are dedicated to providing sustainable solutions that power, transmit, and control motion. Our electric motors and air moving subsystems play a crucial role in creating motion, while our portfolio of highly engineered power transmission components efficiently transmits motion for various industrial applications. Our automation offering, which includes controls, actuators, drives, and precision motors, controls motion across a wide range of applications from factory automation to precision control in surgical tools. Regal Rexnord operates in end markets such as factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture. As part of our company, you will be part of three operating segments: Industrial Powertrain Solutions, Power Efficiency Solutions, and Automation & Motion Control. With offices and manufacturing, sales, and service facilities worldwide, we are committed to creating a better tomorrow through sustainable solutions. For more information about our company and our Sustainability Report, please visit RegalRexnord.com.,

You should have a minimum of 2 years of relevant experience in Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. Additionally, you should have exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. Moreover, hands-on experience with modality-specific encoder models for multi-modal AI applications and proficiency in model fine-tuning, prompt engineering, and using both open-source and proprietary LLMs is required. Experience with model quantization, optimization, and conversion techniques for efficient deployment, including edge devices is also essential. You should possess a deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. Strong MLOps knowledge is required with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions is a must. Familiarity with data preprocessing, standardization, and knowledge graphs is considered a nice-to-have skill. Furthermore, you should have a strong analytical mindset with a passion for building robust, scalable AI solutions and be skilled in Python, writing clean, modular, and efficient code. Proficiency in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic is also required. Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search is essential. Exposure to Neo4j and graph databases for relationship-driven insights is a plus. Hands-on experience with Docker and containerization to build scalable, reproducible, and portable AI services is expected. Being up-to-date with the latest trends in GenAI, LLMs, Agentic AI, and deployment strategies is crucial. Strong communication and collaboration skills are necessary, as you should be able to contribute in cross-functional and fast-paced environments. Bonus skills include experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing, as well as working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar technologies. This is a full-time job with a day shift schedule. The expected start date is 23/06/2025. The work location is in person.,

Morgan Stanley Senior AI Solutions Engineer_ Vice President _Software Engineering Profile Description Were seeking someone to join our team as Senior AI Solution Engineer will be a part of our Cyber Data Risk & Resilience team, to will play a key role in helping transform how Morgan Stanley operates. CDRR_Technology The Cybersecurity organization&aposs mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce. Firmwide Data Office Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firms data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier. Software Engineering This is Vice President position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firms global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firms infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, theres ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team thats eager to create, innovate and make an impact on the world Read on What Youll Do In The Role As a member of our team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You&aposll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. Work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. Combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You&aposll work with a highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products. Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business. Leverage a strong problem-solving mindset to identify issues, propose solutions, and conduct research to enhance the efficiency of AI and machine learning algorithms. Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives. What Youll Bring To The Role Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems. Integrate knowledge graph, LLMs and multiagent systems Leverage NLP techniques to enhance applications in language understanding, generation, and other data-driven tasks. Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data. Use machine learning frameworks and tools to train, fine-tune, and optimise models. Implement the best practices for model evaluation, validation, and scalability. Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation. Required Skills And Qualifications Master&aposs or PhD in Computer Science, Mathematics, Engineering, Statistics or a related field Proven experience building and deploying to production GenAI models with demonstrable business value realization 6+ years' experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and various NLP techniques (e.g, tokenization, named entity recognition, text classification, sentiment analysis etc.) Strong proficiency in Python with deep experience using frameworks like Pandas, PySpark, TensorFlow, XGBoost Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets. Experience designing and architecting high-performance, data-intensive systems that are scalable and reliable. Strong communication skills to present technical concepts and results to both technical and non-technical stakeholders. Ability to work in a team-oriented and collaborative environment. Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases Strong understanding of multiagent architectures and experience with frameworks for agent development Knowledge of Semantic Knowledge Graphs and their integration into AI/ML workflows What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arent just beliefs, they guide the decisions we make every day to do what&aposs best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

As a Machine Learning Engineer, you will be responsible for applying the latest developments in deep reinforcement learning to enhance the capabilities of autonomous systems. Your tasks will include creating OpenAI-Gym like environments for web and mobile applications, repurposing OpenAI and DeepMind RL algorithms, and formulating solutions for challenging RL problems in discrete action spaces. Additionally, you will utilize your expertise in Computer Vision, Image Processing, Image/Video Analytics, and Object Detection to prototype deep reinforcement learning and computer vision solutions. Your role will also involve collaborating with the team, including product owners, designers, and other developers, as well as customers to gain a comprehensive understanding of business and user requirements. You will be expected to build and evaluate algorithms for test optimization based on user behavior or statistical optimization, and create multi-agent systems to enhance project outcomes. To excel in this position, you should be an expert in Python and stay up to date with the latest advancements in reinforcement learning, particularly in OpenAI Gym, Self-Play, and Multiagent systems. Proficiency in deep learning frameworks such as PyTorch, Tensorflow, or Keras is essential, along with a proven track record of developing learning algorithms and/or systems. Experience in productionizing deep learning systems, pre-processing data sets for computer vision applications, and driving projects to completion with minimal guidance are crucial for success in this role. The ideal candidate will hold a Bachelor's or Master's degree in computer science, Mathematics, Machine Learning, or a related field, or possess equivalent experience. Strong communication skills, effective time management, and organizational abilities are also key qualifications required for this position. If you are a self-learner with a passion for acquiring new knowledge and skills, and possess the ability to communicate analysis results effectively, we encourage you to apply for this challenging and rewarding opportunity.,

As an AI Engineer, you will be part of a fast-growing team working on cutting-edge AI solutions for the Hospitality and Healthcare sectors. With a focus on Retrieval-Augmented Generation (RAG), Multi-Agent Systems, and Voice Agent Architectures, your role will be crucial in building advanced products that are already being used by industry leaders. Your responsibilities will include: - Building and optimizing RAG pipelines to retrieve and generate insights from structured and unstructured data in SQL/Postgres databases. You will also work on integrating with pgvector or other vector database integrations for semantic search. - Writing, testing, and refining production-grade prompts, applying advanced prompting techniques, and self-optimizing pipelines for accuracy, reliability, and scalability. - Designing and deploying seamless, multi-turn voice agents, integrating custom-built tools and APIs for task execution, and ensuring low-latency, natural, and engaging voice interactions. - Designing seamless multi-agent workflows and architectures, coordinating specialized agents to collaborate effectively on complex tasks using frameworks like LangGraph. If you have hands-on experience in AI application development and are passionate about working on innovative AI solutions, this role is perfect for you. Join us in our mission to revolutionize the way AI is used in the industry.,

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, you're part of a diverse team of scientists, engineers, and machine learning experts collaborating to advance the state of the art in artificial intelligence. The technologies developed are aimed at benefiting the public and driving scientific discovery, while prioritizing safety and ethics. As a highly motivated and innovative Research Scientist in Bengaluru, you will focus on advancing multiagent systems for social impact. Your role involves conducting cutting-edge research on multiagent systems, particularly agents based on large language models (LLMs), with a specific emphasis on accelerating social impact. This position provides a unique opportunity to engage in fundamental AI research, collaborate with a world-class team, and witness the translation of your work into real-world applications. If you're passionate about shaping the future of social impact through AI and eager to make a significant difference in the evolving landscape of multiagent systems and AI agents, we encourage you to apply. You will be responsible for conducting cutting-edge research by developing novel algorithms, models, and techniques for multiagent systems. This includes pushing the boundaries of AI research in areas like multiagent reinforcement learning, bandit algorithms, and diffusion models. Your research will play a direct role in enhancing Google's multiagent capabilities, with a special focus on social impact. Additionally, you will design, implement, and evaluate the use of AI agents for social impact, exploring techniques to enhance model performance and robustness in real-world scenarios. Collaboration is key in this role, as you will work closely with other research scientists, engineers, and product teams at Google DeepMind. Your research findings will be shared through publications in top-tier conferences and journals, contributing to both the academic community and the development of impactful products. Moreover, you will witness the real-world impact of your research across various domains, potentially influencing future Google products and services. To stay at the forefront of AI research, you will continuously explore emerging trends and participate in international conferences and workshops to share your work and learn from others in the field. As a passionate and talented researcher with a strong theoretical foundation in AI, you are eager to conduct impactful research and collaborate with a team to address ambitious challenges. Your goal is to see your research translate into real-world impact that enhances lives. A Ph.D. in Computer Science, Artificial Intelligence, or related fields is required, along with a strong publication record in top-tier machine learning conferences or journals. You should have a solid understanding of multiagent systems research, including topics such as multiagent reinforcement learning, game theory, social choice, and bandit algorithms. Experience with ML frameworks such as JAX, TensorFlow, or PyTorch is essential. Additionally, familiarity with large language models, AI agents, large-scale model training, and deployment, as well as strong programming skills in Python or similar languages, will be advantageous. Excellent communication and collaboration skills are also necessary for this role.,

You are an experienced AI Application Architect responsible for leading the design and integration of AI/ML capabilities into enterprise applications. Your main objective is to architect intelligent, scalable, and reliable AI solutions that are in line with both business goals and technical strategies. You will work closely with data scientists, ML engineers, and application developers to ensure seamless end-to-end solutions. Additionally, you will be required to select and implement appropriate AI frameworks, APIs, LLMs, and infrastructure tools, as well as drive architecture decisions related to GenAI, NLP, CV, predictive analytics, and agentic AI systems. You will also establish MLOps pipelines for training, testing, and deploying models at scale while ensuring compliance with AI ethics, privacy laws, and data governance policies. Furthermore, you will evaluate emerging technologies, tools, and platforms for enterprise use and act as a technical advisor to leadership on AI opportunities and risks. In terms of required skills, you should have a strong background in AI/ML architecture and solution design, along with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in LLMs and generative AI tools like OpenAI, Azure OpenAI, LangChain, and Hugging Face is necessary. A solid programming background in Python (FastAPI, Flask) and familiarity with Java/Node.js are essential. Experience with cloud platforms (AWS/GCP/Azure) and ML toolkits like SageMaker, Azure ML, and Vertex AI is also crucial. Additionally, a good understanding of microservices, REST APIs, GraphQL, and event-driven architecture is required. Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate, as well as proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools, is expected. Preferred qualifications include experience with multi-agent systems, LangChain, Autogen, or Agentic AI frameworks, familiarity with data governance, model drift detection, and performance monitoring, and prior experience in industries like BFSI, Retail, Healthcare, or Manufacturing. Education-wise, a Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field is required. Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are considered a plus.,

The selected candidate will be working for our Indian JV - D2AI Labs in Bangalore/Chennai/Remote. Key Responsibilities: Lead Agent Development: Architect, build, and deploy the central interface agent that connects and coordinates specialized AI agents. Agent Orchestration: Implement reliable communication, delegation, and data-handling mechanisms between agents. LLM Integration: Fine-tune and integrate LLMs (Azure OpenAI or similar), utilizing advanced prompt engineering techniques. MLOps Implementation: Maintain robust MLOps pipelines, CI/CD workflows, and performance monitoring on Azure. Vector Database Management: Design data pipelines using vector databases like Pinecone, Qdrant, or Milvus for RAG and agent memory. A2A Communication & MCP: Enable advanced agent-to-agent communication using established protocols like MCP/MCPTx. Collaborate with cross-functional teams to translate business requirements into scalable AI/ML solutions. Optimize AI models for performance, scalability, and accuracy. Conduct thorough testing, evaluation, and documentation of models and systems. Stay up to date with the latest advancements in AI, particularly in the Generative AI space. Qualifications & Skills: Proven experience in LLM model development (e.g., OpenAI, GPT, BERT, etc.). Hands-on experience in building GenAI agents and conversational workflows. Strong Python programming skills with a focus on AI/ML libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Proven experience building or orchestrating multi-agent systems using frameworks like LangGraph. Prior work experience in the Telecom industry with a clear understanding of domain-specific challenges.,

As an Agentic AI Research Engineer at Pranathi Software Services Pvt. Ltd., you will be part of a leading software product development company that specializes in cutting-edge technologies like AI, Machine Learning, and advanced automation. Our focus is on building next-generation intelligent systems powered by Agentic AI, and we are seeking passionate individuals to join our AI R&D team in Hyderabad. To be successful in this role, you should have a postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or a related field. You should also have strong experience with LLM-based agents, multi-agent systems, or reinforcement learning. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is essential. Hands-on experience with frameworks like LangChain, OpenAI APIs, AutoGPT, or Hugging Face Transformers will be beneficial. Additionally, a solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs is required. This is a full-time position based in Hyderabad, India, with opportunities for on-site or hybrid work arrangements. If you are excited about working on innovative AI projects and meet the qualifications mentioned above, we encourage you to share your resume with us at giribabu@pranathiss.com.,

Candidates are required to possess a Ph.D. in Electronics Engineering or a related field from a reputable institution, along with a strong research background. The specific sub-areas of interest currently include Circuits/Electronics (such as VLSI Technology, Analog circuits, Mixed mode ICs, Semiconductor Devices), Embedded Systems (covering Edge Computing, Real Time Operating Systems, Side Channel Analysis and Hardware Security), and Robotics (encompassing Autonomous Systems, Human-robot Interaction, Perception-based Controls and Robotics, Drones, Multi-agent Systems, Intelligent Control Systems). Minimum eligibility criteria for candidates in all disciplines except design area are as follows: (i) Must hold a Ph.D. with a first-class or equivalent in the preceding degree, accompanied by an outstanding academic record consistently maintained. (ii) Should possess a robust research record with publications in esteemed journals and conferences. The position available is for an Assistant Professor, requiring a Ph.D. holder with strong research capabilities and a keen interest in teaching at both undergraduate and postgraduate levels. Prior postdoctoral experience is preferred. Interested individuals should submit an application via email to dean_faculty@daiict.ac.in with the subject line as "Faculty position in Disciplines/Areas (e.g. Computer Science, Humanities & Social Sciences)". The application should include the following attachments: 1. Curriculum Vitae (CV) detailing educational qualifications from the 12th standard board exams (including marks/CGPA, year of passing, any specialization), work experience, and publications. References for letters of recommendation should also be provided. 2. A research statement outlining research background, outcomes, and future research plans. 3. A teaching statement describing teaching methodology, experience, preferred foundation/core courses, and elective courses the candidate is interested in teaching. Faculty members will be responsible for conducting independent research within their field of expertise and delivering lectures for undergraduate and postgraduate courses. Candidates with interdisciplinary knowledge are strongly encouraged to apply as they will contribute significantly to the Institute's mission through teaching, research, and participation in institutional activities. Prospective applicants are advised to visit the Institute's website for detailed information on courses and research groups, specifically the Faculty page, to gain insight into the faculty profile.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

The company you will be joining, TechGlobal, is a renowned global leader in strategy, technology consulting, and digital services, operating in over 100 countries. TechGlobal is dedicated to assisting businesses in embracing cutting-edge solutions for their digital transformation, aiming to make them digital-first and digital-ready. With a workforce of over 600,000 employees globally, including 200,000 in India, the company has a strong presence in the country with development centers in more than 10 locations across Tier 1 and Tier 2 cities. TechGlobal is known for its people-centric and employee-friendly policies, offering hybrid work options and flexible location choices due to its extensive Pan India presence. Your role at TechGlobal will involve developing applications and systems that leverage AI tools and Cloud AI services, ensuring the creation of cloud or on-prem application pipelines with production-ready quality. You will be expected to integrate GenAI models into the solutions, exploring areas such as deep learning, neural networks, chatbots, and image processing. Key Responsibilities: - Lead research and development in agentic architectures, autonomous agents, human-agent collaboration, and model/agent drift detection. - Design and prototype autonomous agents for practical applications like enterprise automation, digital assistants, and healthcare autonomous agents. - Collaborate with solutioning, delivery, and engineering teams to incorporate agentic capabilities into scalable systems for various industries. - Work with the Responsible AI team to embed policies in the solutions, collaborate with consulting teams to provide technical expertise in AI, and engage with academia and industry partners for advancing research boundaries. - Share innovative research findings in top AI forums and conferences. - Develop a strong AI talent pool and promote a culture of continuous learning within the organization, while mentoring a team of researchers and engineers. - Provide consulting and solutioning support for complex client issues by leveraging niche AI skills and utilizing advanced frameworks and accelerators. Skills Required: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from prestigious institutions like IITs, IISc, IIIT, or ISI. - A total of 12-20 years of experience with at least 5 years of relevant experience post-PhD. - Profound expertise in reinforcement learning, autonomous agents, and multi-agent systems. - In-depth understanding of LLMs and their application in agentic workflows. - Hands-on experience with frameworks such as LangChain, AutoGPT, or similar tools. - Demonstrated history of innovation and publications. Qualifications & Experience: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from esteemed institutions like IITs, IISc, IIIT, or ISI. - 12 to 20 years of overall experience in relevant fields.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

As a Python Developer, you will collaborate closely with the engineering team to design, develop, and deploy software solutions, primarily focusing on Agentic AI applications. Your role involves contributing to the creation of intelligent systems that operate autonomously and make data-driven decisions. This hands-on position requires a combination of technical skills and a passion for building innovative AI-driven products. Your key responsibilities will include developing and maintaining Python-based applications that emphasize Agentic AI models and solutions. You will work alongside data scientists and machine learning engineers to integrate AI models into production systems. Additionally, you will design, implement, and test software that interacts with large datasets, applying Agentic AI techniques to enhance decision-making processes. Your role will also involve optimizing and scaling AI systems to ensure high performance and reliability, as well as integrating AI solutions with various platforms and tools for end-to-end product deployment. Participation in code reviews, debugging, and troubleshooting will be essential to maintain a high standard of code quality. It is crucial to stay updated with the latest advancements in Agentic AI, machine learning, and Python technologies to continually enhance development processes. The required skills and qualifications for this role include a minimum of 2 years of professional experience in Python development. Hands-on experience with Agentic AI, such as reinforcement learning, decision-making algorithms, and autonomous systems, is essential. A strong understanding of AI models and their real-world applications is necessary, along with familiarity with Python libraries like TensorFlow, PyTorch, scikit-learn, and NumPy. Proficiency in working with APIs, databases, and version control systems like Git is also required. Strong problem-solving abilities and a drive to create scalable and efficient systems are key qualities for this position. Effective communication skills are essential to collaborate successfully with cross-functional teams. Preferred qualifications for this role include experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying Python-based applications. Knowledge of agent-based modeling and multi-agent systems, as well as familiarity with Docker, Kubernetes, or other containerization technologies, would be advantageous.,

Description Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, were shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Software Development Engineer II (AI) who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. The purpose for this role, would be to build agents for the platform, automating areas around support engineering and data engineering. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform team to help them successfully integrate the agent capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. What You Need 3+ years of experience in Software Engineering, with experience inbuilding APIs, who understand how APIs function, and can effectively develop applications. Familiarity with Prompt Engineering and working experience in fine tuning LLMs Hands-on experience of working with Multi-Agent Systems with Frameworks like CrewAI/Langchain/Autogen (One of them is a must) and Prompt engineering. Hands-on with Vector Databases such as ChromaDB, FAISS etc. Experience in Reinforcement learning (RL), specially for autonomous agents. Working experience with Embedding models and RAG design. Strong hands-on experience in Python - building enterprise applications along with optimization techniques, along with working with API integrations (Fast API/Django) Hands on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker Good to have - Comfortable with Docker, Kubernetes, AWS cloud technologies, Snowflake and also some experience in Healthcare. Preferred Skills Python - Building highly scalable and performant applications LLM - Deep experience in working and fine tuning LLM Models Re-inforcement Learning and MAS Vector Databases Here’s What We Offer Generous Leaves: Enjoy generous leave benefits of up to 40 days. Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition. Sabbatical: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.