183 Knowledge Graphs Jobs

Key Responsibilities Develop and deploy AI agents using Python and modern agentic frameworks such as LangChain, AutoGen, CrewAI, Haystack, or custom-built solutions. Design and implement A2A (Agent-to-Agent) workflows, enabling agents to collaborate, reason, negotiate, and complete end-to-end tasks autonomously. Fine-tune, evaluate, and integrate Large Language Models (LLMs) including OpenAI, Anthropic, Llama, Mistral, and other foundation models. Build and manage retrieval-augmented systems using vector databases, knowledge graphs, embeddings, and long-term memory mechanisms. Develop scalable backend services to support AI workloads using FastAPI, Flask, Docker, and cloud platforms (AWS/GCP...

Principal Data Scientist Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead/Architect is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise ...

Goal: Hire one strong AI Tech Lead who can architect and guideimplementation of real-time AI systems across voice automation, LLMpipelines, and knowledge-enhanced applications The role requires architectural judgment, hands-on AI/LLM expertise, and theability to define best practices, performance benchmarks for scalable, low-latency AI products The Tech Lead will lead design and development of distributed, provider-agnostic AI architectures (multi-provider LLMs, STT/TTS chains, microservices)with performance guarantees including low speech-to-speech latency, resilientfailover, distributed scaling, load balancing, and cost-efficient inference paths They will define architectural dos and donts...

As a highly skilled Data Scientist specializing in AI agents, generative AI, and knowledge engineering, you will play a crucial role in enhancing AI-driven cloud governance solutions. Your primary responsibilities will involve advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs in a Python environment. Your contributions will directly impact FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. - **AI Agent Development & Enhancement**: - Design, develop, and optimize LLM-based multi-agent systems for cloud governance. - Implement agent collaboration using frameworks like LangChain, AutoGen, or open-sou...

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within Employee Platforms team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way.As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience neede...

Dear All, Hiring for Agentic AI & Multi-Agent Solutions track, LangGraph experience is a must-have . Exp: 5 to 12yrs Location: Mumbai/Gurugram Mode: Hybrid Notice period: Immediate to 15days 1. Lead Developer 10+ years Experience Mandatory: LangGraph, multi-agent architecture, Python, Kubernetes, VLLM 2. Mid-Level Developers) 7 years experience Strong experience with LangGraph, Python, knowledge graphs, agent workflows 3. Mid-Junior Developers 5 years experience Good understanding of agentic systems, Python, and exposure to LangGraph Roles Covered Developer Agent Performance Evaluation & Intelligence Enhancement Lead Developer Agentic AI & Multi-Agent Solutions Developer Agentic AI & Multi-A...

Job Description Job Description Role: Senior AI Delivery Lead / LLM Solutions Architect Experience: 1525 years Location: Remote Employment Type: Full-time Overview We are seeking a highly seasoned Senior AI Delivery Lead with deep expertise in Large Language Model (LLM) solution design and enterprise AI delivery governance. This role requires a dual focus: serving as the primary Delivery Lead for multiple concurrent AI programs (2 large engagements) while also acting as the senior architect responsible for prompting frameworks, retrieval strategies, and model selection to ensure scalable, high-quality solution outcomes. The ideal candidate brings a unique combination of AI/LLM technical dept...

Role Overview: As an experienced AI/ML Architect, you will be responsible for leading the design and implementation of advanced Generative AI and RAG solutions at the enterprise level. This role will involve a combination of hands-on architecture design, pre-sales engagement, and technical leadership to drive AI initiatives that deliver business value responsibly and at scale. You will play a crucial role in designing and delivering enterprise-grade AI/ML solutions, engaging in pre-sales activities, and shaping AI solution proposals for clients. Key Responsibilities: - Architect and deliver enterprise-grade AI/ML & Generative AI solutions, including RAG pipelines, LLM integrations, and intel...

As a Senior AI And Automation Developer at EY, you will be responsible for leading advanced projects that leverage technologies like Large Language Models (LLMs), IDP, NLP, Azure Functions, Python, Graph and Vector Databases. Your role will involve designing and delivering enterprise-grade AI solutions, mentoring junior team members, and ensuring technical excellence. **Responsibilities:** - Lead development and implementation of AI & Automation solutions aligned with business objectives - Architect and deploy Proof of Concepts (POCs) and Points of View (POVs) across industry verticals - Ensure robust integration of AI solutions into enterprise systems and cloud environments (Azure, AWS, GCP...

Job Title Senior Imaging AI Architect Job Description Job title: The Senior Imaging AI Architect oversees an end-to-end data pipeline infrastructure for primarily medical imaging AI (but also Gen AI solutions and more), from data ingestion and storage through curation, feature extraction, and model training. Your role: Architect and own the end-to-end data pipeline for medical imaging AI data (including related patient record data), from intake and storage through curation, feature engineering, and model training. Ensure the pipeline is scalable, secure, and optimized for large imaging datasets while maintaining compliance with healthcare data regulations . Additionally, architect end-to-end...

We have posted this job on behalf of our customer in Pune and Bangalore. We are hiring for AI Engineer role. Experience required is 3 to 5 years, with LLM , RAG, Knowledge Graph and ML Ops experience Apply if you are ready to work in Startup Culture

Role Overview: As a Senior Data Scientist at our company, you will be taking on the role of an Agentic AI Lead/Architect, responsible for driving the research, development, and deployment of semi-autonomous AI agents to tackle complex enterprise challenges. Your primary focus will be on designing and scaling Agentic AI solutions, hands-on development and optimization, driving AI innovation and research, strategizing for AI impact on business, and mentoring and building capabilities within the team. Key Responsibilities: - Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous pr...

As a Senior AI/ML Engineer at the company, your role will involve architecting and leading the development of advanced AI systems focusing on document processing and generative AI. You will work with cutting-edge technologies like LLMs, RAG, vector databases, and the Azure AI stack to deliver innovative solutions that redefine how enterprises extract, classify, and leverage unstructured data. Additionally, you will mentor junior AI engineers and play a key role in shaping the roadmap of intelligent automation for financial workflows. **Key Responsibilities:** - Architect, implement, and optimize AI/ML systems for parsing and extracting tabular and semi-structured data from complex PDF docume...

You will be involved in building an AI-powered Knowledge Search Platform for the Chemical & Pharmaceutical industry using RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), and Vector Databases. Your role will require you to design intelligent query systems capable of understanding natural language and retrieving accurate results from complex industry datasets consisting of 150+ product and company tables. Key Responsibilities: - Design and develop RAG-based AI Search System using Python, Vector Databases, and LLMs. - Build data pipelines to ingest, clean & unify complex datasets (CSV, SQL, APIs) across industries like API, FDF, Nutraceuticals, Excipients, etc. - Implement S...

The candidate will demonstrate exceptional impact in delivering projects in terms of architecture, technical deliverables and project delivery throughout the project lifecycle. The candidate is expected to be conversant with Agile methodologies and tools Experience on data analysis, AI/ML model development and related development environment that enables AI/ML algorithms for use on various processors? or systems Hands on experinece on ML/DL models such as time series modeling, anomaly detection, root cause analysis, diagnostics, prognostics, pattern detection, data mining, etc. Has good knowledge of computer vision, transformers, NLP techniques, knowledge graphs, LLMs and fine-tuning LLMs an...

Role Overview: You will be joining a dynamic team at Mindcurv as a highly skilled Data Engineer with expertise in graph databases. Your role will involve designing, implementing, and maintaining ETL pipelines for graph-based structures, developing and optimizing graph database solutions, building and maintaining ontologies and knowledge graphs, integrating vector databases, collaborating with data scientists, ensuring data quality and security, and effectively communicating with stakeholders. Key Responsibilities: - Design, implement, and maintain ETL pipelines to prepare data for graph-based structures. - Develop and optimize graph database solutions using querying languages such as Cypher,...

We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you'll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities: Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a gr...

As a Senior AI Engineer / Data Engineer at STAND 8, you will play a crucial role in developing innovative AI-powered business solutions that are shaping the future of various operations. Your contributions will directly impact products that are revolutionizing recruitment, data extraction, and intelligent decision-making processes. This is a great opportunity for individuals who excel in constructing production-grade AI systems and are well-versed in modern AI technologies. **Key Responsibilities:** - Design, construct, and enhance AI-powered systems utilizing multi-modal architectures encompassing text, voice, and visual elements. - Incorporate and deploy LLM APIs sourced from providers lik...

Role Overview: You will be joining our advanced analytics team as a Data Scientist specializing in Generative AI (GenAI). Your responsibilities will include designing, developing, and deploying GenAI models using cutting-edge frameworks like LLMs and RAG. You will be tasked with building and implementing AI pipelines on cloud services such as AWS, Azure, and GCP. Collaboration with cross-functional teams to integrate AI models into business applications will be a key aspect of your role. Moreover, you will manage tokenization strategies, chunking, vector stores, and prompt engineering to ensure optimal GenAI performance while following best practices in hallucination control and ethical AI. ...

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! As an Associate Architect at Quantiphi, you will design comprehensive technical solutions for enterprise AI initiatives, partnering with Fortune 500 clients on Google Cloud Platform. You'll translate complex business requirements into scalable architectures spanning generative AI, tradi...

As an AI/ML Engineering Lead at our company, you will be responsible for driving the creation of a next-generation platform that aims to transform the way millions of customers experience our services. This is an exciting opportunity to build an AI/ML ecosystem from the ground up, tackle real-world business challenges, and be a part of a long-term initiative that revolutionizes our business processes. **Key Responsibilities:** - **Architect & Build from Scratch**: Lead the design and implementation of an enterprise-grade AI/ML platform to drive innovation. - **Solve Complex, Real-World Problems**: Address challenging business scenarios requiring advanced machine learning and automation at sc...

Focus areas include: Extracting biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets, and test therapeutic hypotheses. Developing and leveraging methods/platforms to (1) guide prioritization of targets across diverse diseases and therapeutic modalities and (2) deliver foundational target insights, including characterization of expression biodistribution and isoform complexity. Developing advanced capabilities for discovery of novel disease-enriched isoforms using long-read transcriptomics, proteomics, and screening technologies. Partnering with our data science and information systems teams to incorporat...

As an AI Engineer at BSI Financial Services Inc, you will play a crucial role in designing, building, and deploying AI-driven applications using cutting-edge technologies. Your responsibilities will include: - Working closely with product, engineering, and business teams to understand requirements and develop AI-driven solutions. - Architecting and deploying robust Large Language Model (LLM)-based applications, custom pipelines, and fine-tuning RAG systems. - Building Retrieval-Augmented Generation (RAG) systems using embedding models, vector search, and optimized retrieval pipelines. - Designing and managing Vector Databases (e.g., Pinecone, Chroma, Weaviate, Qdrant) to support scalable sem...

Company Description Wizkids Gurukul is an innovative educational initiative that blends India's cultural and spiritual heritage with cutting-edge AI technology and experiential learning. Focused on creating confident, values-driven, and future-ready children, Wizkids Gurukul integrates storytelling, EIIE pedagogy, and 21st-century educational practices. The initiative fosters a holistic environment where academic, emotional, and spiritual growth are nurtured, ensuring students develop clarity, cultural grounding, and curiosity. Through a collaborative community of educators, parents, and innovators, Wizkids Gurukul aims to shape mindful, responsible citizens prepared to lead with purpose in ...

As the Lead AI Platform Engineer at our organization, you will play a crucial role in architecting and implementing the foundational elements of our Agentic AI Platform. Your responsibilities will include designing, deploying, and maintaining production-grade multi-agent systems leveraging frameworks like CrewAI, LangGraph, or custom-built orchestration layers. You will collaborate closely with data engineers, data scientists, ML engineers, and product teams to create adaptive, reasoning-driven systems. - Architect & Build Agentic Systems: Design, develop, and deploy multi-agent workflows using frameworks such as CrewAI, LangGraph, or custom-built orchestration layers. - Platform Engineering...