249 Llmops Jobs - Page 7

Job Description: • Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, handoffs, memory strategy (short/long-term), and supervisor policies for safe collaboration. • Build high-quality RAG: implement ingestion, chunking, embeddings, indexing, and retrieval with evaluation (precision/recall, groundedness, hallucination checks), guardrails, and citations. • Productionize on AWS: leverage services like Bedrock (Agents/Knowledge Bases/Flows), Lambda, API Gateway, S3, DynamoDB, OpenSearch/Vector DB, Step Functions, and CloudWatch for tracing and alerts. • MLOps/LLMOps: automate CI/CD (GitOps), containerization (Docker/Kubernetes), ...

We are hiring an AI Solution Architect with 12-15 years of experience in software development and architecture, with deep expertise in AI/ML within the healthcare IT domain This is a 12-month full-time onsite role based in Chennai or Hyderabad for an immediate joiner The ideal candidate will possess strong experience in cloud platforms (GCP preferred), AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and compliance with healthcare industry standards (eg, HIPAA) Youll be responsible for designing scalable AI solutions, leading cross-functional teams, mentoring developers, and driving end-to-end AI solution delivery using MLOps best practices

We are hiring a visionary AI Solution Designer & Implementor for a permanent or contract remote role The ideal candidate will have 10-13 years of IT experience with deep expertise in AI/ML, Generative AI, LLMs, and Agentic AI The role involves designing, developing, and deploying enterprise-scale AI/ML systems across Retail Analytics Engineering Platforms, including intelligent agent-based architectures and RAG systems The position requires full-time availability (2:00 PM 11:00 PM IST) and immediate joining Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad,Remote

Responsibilities: Design and develop Generative AI applications and solutions using LLMs and open-source frameworks. Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives Prototype and experiment with new GenAI techniques and approaches. Contribute to the development, integration, and improvement of internal GenAI service or tools. Implement performance efficient RAG, Fine tuning models, and Prompt engineering techniques with GenAI solutions. Lead the integration of LLMs and LangChain into business processes. Collaborate with application team on user needs and translate them into actionable GenAI solutions. Communicate ...

You are applying for the position of Data & AI Strategist at NTT DATA in Hyderabad, Telangana, India. As a seasoned AI / GenAI Solution Architect with 15+ years of experience, including 5+ years in AI/ML, Data Science, and GenAI architectures, your role will involve technical architecture design, Hyperscaler solutions, and end-to-end delivery of AI-driven platforms and agentic solutions for large-scale AI transformation programs. Key Responsibilities: - Architect and deliver GenAI, LLM, and agentic AI solutions - Excellent understanding of Agentic Frameworks, MLOps, LLMOps - Design enterprise-level scalable AI-ready architectures - Lead proposals, estimations, and RFP/RFI responses - Partner...

As a Data & AI Strategist at NTT DATA, you will be responsible for architecting and delivering GenAI, LLM, and agentic AI solutions. Your role will involve designing enterprise-level scalable AI-ready architectures, leading proposals, estimations, and RFP/RFI responses, and partnering with clients as a trusted AI advisor for transformation roadmaps. Additionally, you will be expected to have exposure to data engineering pipelines and to build reference architectures and reusable GenAI frameworks. **Key Responsibilities:** - Architect and deliver GenAI, LLM, and agentic AI solutions - Excellent understanding of Agentic Frameworks, MLOps, LLMOps - Design enterprise-level scalable AI-ready arch...

Role Overview: You will be responsible for designing, developing, and maintaining complex, high-performance, and scalable MLOps systems that interact with AI models and systems. Additionally, you will collaborate with cross-functional teams to understand requirements, define project scope, and ensure alignment with business goals. Your role will involve offering technical leadership and expertise in choosing, evaluating, and implementing software technologies in a cloud-native (Azure + AML) environment. Troubleshooting and resolving intricate software problems, participating in project planning and estimation, contributing to CI/CD pipelines, data pipelines, and storage systems, as well as d...

We are hiring a visionary AI Solution Designer & Implementor for a permanent or contract remote role. The ideal candidate will have 10-13 years of IT experience with deep expertise in AI/ML, Generative AI, LLMs, and Agentic AI. The role involves designing, developing, and deploying enterprise-scale AI/ML systems across Retail Analytics Engineering Platforms, including intelligent agent-based architectures and RAG systems. The position requires full-time availability (2:00 PM 11:00 PM IST) and immediate joining. Location - Remote,Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune.

Role Overview: You are a seasoned AI / GenAI Solution Architect with 15+ years of total experience, including 5+ years of relevant expertise in AI/ML, Data Science, and GenAI architectures. Your role involves technical architecture design, Hyperscaler solutions (Azure, GCP, AWS), and end-to-end delivery of AI-driven platforms and agentic solutions. You will be responsible for solution architecture & design, proposal creation, estimations, and client engagement across large-scale AI transformation programs. Key Responsibilities: - Architect and deliver GenAI, LLM, and agentic AI solutions - Excellent understanding of Agentic Frameworks, MLOps, LLMOps - Design enterprise-level scalable AI-read...

As a Senior Backend Developer at our company, you will play a crucial role in refining the system architecture, ensuring seamless integration of various tech stacks, and enhancing the DevOps process. Your understanding of software paradigms and ability to design solutions for ML, MLOps, and LLMOps challenges will be key in leading your team towards successful project implementation. You will have the opportunity to work with a wide range of modern technologies and contribute to building an enterprise-grade ML platform. Responsibilities: - Act as a bridge between engineering and product teams, designing a scalable system that aligns with long-term product roadmaps. - Translate product insight...

As a Generative AI Engineer at Xebia, you will play a crucial role in designing and delivering enterprise-scale solutions for strategic clients. Your expertise in both Application Architecture and AI/ML/Generative AI will be instrumental in creating robust cloud-native applications and driving innovation through Agentic AI and emerging AI technologies. **Key Responsibilities:** - Translate client business problems into comprehensive end-to-end solution architectures. - Design cloud-native applications and AI-driven solutions using a wide range of AWS services. - Develop solution diagrams, architecture blueprints, and detailed design documents (HLD & LLD). - Architect and oversee the delivery...

Key Responsibilities Leadership and Team Management Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development. Define, implement, and refine the data science strategy and roadmap, aligning with the organization&aposs long-term goals and evolving business needs. Cultivate a culture of technical innovation, collaboration, and continuous learning within the data science team. Strategic Collaboration and Communication Partner with senior leadership to identify and address strategic opportunities and challenges through data science initiatives. Present complex, data-driven insights and strategic recommendations to e...

As a highly motivated Manager in Data & Analytics with a minimum of 8 years of experience, you will be responsible for leading cross-functional teams in designing, developing, and deploying next-generation AI solutions. Your role will require a blend of technical expertise in building GenAI and Agentic AI workflows, strong project management skills, and the ability to manage client relationships and business outcomes. You will oversee the delivery of AI-driven solutions, ensure alignment with client needs, and foster a high-performance culture within the team. Key Responsibilities: - Lead, mentor, and grow a team of AI engineers, data scientists, and solution architects. - Define team goals,...

Responsibilities: * Design, develop & maintain AI solutions using LLMOps, Agentic AI & NLP. * Collaborate with cross-functional teams on AI platform strategy & implementation. Model development, training, deployment at scale, monitoring performance

AI Architect Agentic AI Platform Role Overview We are seeking an experienced AI Solution Architect to lead the design and development of an Agentic AI platform for the Mortgage Industry. The ideal candidate will combine deep technical expertise in AI/ML and LLMOps with strong domain knowledge in financial services, mortgage processes, and regulatory compliance. This role requires defining the multi-agent orchestration framework, integration strategy, and ensuring scalability, security, and reliability of the platform. Location: Hyderabad (Preferred)/ Remote Experience: 12+ Years Key Responsibilities Architect end-to-end Agentic AI ecosystem for mortgage workflows (KYC, credit scoring, risk e...

Your Role: As the Agentic and Generative AI Infrastructure Lead, you will architect and manage the foundational infrastructure that powers enterprise-scale AI innovation. This role is central to enabling the secure, scalable, and cost-effective deployment of Agentic AI workloads across multi-tenant and multi-service environments. You will be responsible for orchestrating the technical backbone that supports AI agents as they interact with APIs, core data systems, and hybrid cloud environments - including legacy and third-party platforms. With a strategic builders mindset, you will lead the design and implementation of infrastructure that supports the full AI lifecycle - from development and ...

As a Global Product Lead at MiQ, a global programmatic media partner, you will play a crucial role in leading and expanding a unified Data Management and LLMOps framework. Your responsibilities will include: - Leading and expanding a unified Data Management and LLMOps framework across various functions such as engineering, analytics, data science, and ad operations. - Architecting and managing automated data pipelines for onboarding, cleansing, and processing structured and unstructured data using advanced AI/agentic automation. - Overseeing the adoption and execution of Agentic AI in data workflows, defining and scaling LLMOps best practices, and ensuring seamless orchestration of AI models...

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflo...

Roles and Responsibilities: Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud Communicate effectively with clients on brainstorming the solutions Conduct research and development majorly on AI/ML implementations Implement RAG architecture for confidential data use case Apply deep learning techniques and machine learning experience Fine tune LLM for optimal performance Develop and implement generative AI models using state-of-the-art techniques and frameworks Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs Research and experiment with new AI algorithms, architectures, and tools to...

Job Description Roles & responsibilities Project Planning & Execution Strategize and oversee the execution of AI application development and deployment within Audit functions. Lead requirement gathering workshops with Audit Innovation teams to define and refine project scope and deliverables. Translate business requirements into project plans and actionable tasks, ensuring alignment with timelines and resources. Team Leadership & Mentorship Manage and mentor a cross-functional team of Managers, Seniors, and Associates, promoting high-quality solution delivery. Facilitate technical and soft-skills training to continuously develop team capabilities in audit and AI domains. Foster a collaborati...

The responsibilities for this role include conducting original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. You will be responsible for building Proof of Concepts (POCs) with emerging AI innovations and assessing their feasibility for production. Additionally, you will design and experiment with multimodal generative models encompassing text, images, audio, and other modalities. Developing autonomous, agent-based AI systems capable of adaptive decision-making is a key aspect of the role. You will lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. Optimizing AI algor...

Roles and Responsibilities Design, test, and refine prompts to optimize LLM performance across diverse tasks and domains. Build and maintain a library of prompt templates and reusable components. Collaborate with engineers, analysts, and business teams to embed prompt engineering into broader AI workflows. Analyse model outputs and user feedback to iteratively improve prompt accuracy, consistency, and relevance. Monitor developments in the fields of prompt engineering, generative AI, and LLM capabilities to inform internal practices. Contribute to documentation, internal guidelines, and knowledge-sharing initiatives related to prompt engineering. Required Background Demonstrable experience w...

AI Architect Agentic AI Platform Role Overview We are seeking an experienced AI Solution Architect to lead the design and development of an Agentic AI platform for the Mortgage Industry. The ideal candidate will combine deep technical expertise in AI/ML and LLMOps with strong domain knowledge in financial services, mortgage processes, and regulatory compliance. This role requires defining the multi-agent orchestration framework, integration strategy, and ensuring scalability, security, and reliability of the platform. Location: Hyderabad (Preferred)/ Remote Experience: 12+ Years Key Responsibilities Architect end-to-end Agentic AI ecosystem for mortgage workflows (KYC, credit scoring, risk e...

Inviting applications for the role of Lead Consultant - MLOps Engineer! In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/ GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design to guide how teams build and ship ML models securely and reliably. You will establish governance, reuse, and automation frameworks for AI infrastructure, including Terraform-first cloud automation, multi-environment CI/CD, and observability pipelines. Responsibilities Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps Lead the ...

Process9 is looking for a DevOps/MLOps Specialist with expertise in IAC Terraform to join their team. As a B2B and SaaS-based software company, Process9 focuses on developing middleware application platforms for language localization across various digital platforms. The company aims to revolutionize the language technology space and expand its global reach in the near future. The ideal candidate for this role will be responsible for optimizing AI/ML infrastructure, implementing Infrastructure as Code (IaC), and enhancing collaboration among different teams. Key responsibilities include managing Kubernetes clusters, designing CI/CD pipelines for ML model deployment, and automating cloud infr...