41 Ai Architect Jobs

As an AI Architect at NiCE, you will play a crucial role in building scalable AI systems and infrastructure to handle large datasets, ensuring performance, reliability, and maintainability. You will lead the development of secure and compliant data and machine learning pipelines, aligning with data governance and regulatory standards. Moreover, you will design, develop, and implement AI models and algorithms to solve real-world business problems while mentoring team members on AI technologies, best practices, and system architecture. Key Responsibilities: - Build scalable AI systems and infrastructure capable of handling large datasets with a focus on performance, reliability, and maintainability. - Lead the development of secure, compliant data and machine learning pipelines, ensuring alignment with data governance and regulatory standards. - Design, develop, and implement AI models and algorithms to solve real-world business problems, contributing to proof-of-concept and production-grade solutions. - Mentor and guide team members on AI technologies, best practices, and system architecture. - Collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions. - Establish and promote ethical and responsible AI practices across the organization. - Take ownership of strategic decisions related to AI deployment, architecture, and lifecycle management. - Conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases. - Develop and maintain AI applications using modern frameworks and run experiments to evaluate and improve model performance. - Define and implement AI project Software Development Lifecycle (SDLC) processes, including versioning, testing, validation, and monitoring strategies. - Ensure AI systems are secure, scalable, and aligned with the company's business strategy and compliance requirements. - Stay current with advancements in AI, machine learning, and data engineering to enhance system capabilities continuously. Qualifications Required: - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - Proven experience as an AI Architect or in a similar senior AI/ML role, with a track record of deploying multiple AI solutions in production. - Strong expertise in AI/ML technologies, including experience with RAG architectures and Vector Databases. - Proficiency in cloud platforms such as Azure or AWS, with hands-on experience in deploying enterprise-grade AI solutions. - Hands-on experience in securely integrating AI solutions across cross-functional teams, with expertise in Azure cloud security best practices and implementation. - Solid understanding of building and managing secure, scalable data and ML pipelines, with knowledge of data security governance and compliance. - Proficiency in programming languages such as Python, .NET, or similar, and familiarity with AI/ML frameworks and libraries. - Experience with AI project SDLC, including model versioning, CI/CD for ML, and AI testing strategies. - Familiarity with DevOps and Data Engineering tools and practices. - Strong analytical and problem-solving skills, with the ability to work collaboratively in a fast-paced environment. - Excellent communication skills to convey complex technical concepts to technical and non-technical stakeholders. - Commitment to continuous learning and staying current with the latest AI trends and technologies. Join NiCE, a global company known for market disruption and innovation in AI, cloud, and digital domains. Embrace the NiCE-FLEX hybrid model for maximum flexibility and endless internal career opportunities across various roles and locations. If you are passionate, innovative, and ready to raise the bar, NiCE is where you belong!,

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt Ltd. We are hiring Data Science Architect for our client. Job Title: Data Science Architect - Python & AI/ML Location: Hyderabad Type: Full-Time Job Summary: We are looking for a skilled and passionate Data Science Architect - Python & AI/ML to design and implement advanced AI systems using AWS technologies. You will work on cutting-edge solutions like Retrieval Augmented Generation (RAG), GraphRAG, and agentic AI systems, leveraging the latest in GenAI tools and techniques. Key Responsibilities: Design and develop complex Generative AI solutions using AWS services Implement RAG and GraphRAG architectures Build scalable AI systems with AWS Bedrock and SageMaker Develop agent-based AI systems with reasoning capabilities Use vector databases and advanced ML methods for custom AI solutions Stay updated and integrate emerging GenAI technologies Optimize AI/ML models and enhance performance Required Skills & Expertise: Generative AI: RAG and GraphRAG methodologies LoRA (Low-Rank Adaptation) Agentic AI design principles Prompt engineering AI model fine-tuning AWS & Cloud: AWS Bedrock and SageMaker Cloud-native AI architecture AWS AI/ML services Technical Skills: Python (advanced) Strong understanding of LLMs and ML architectures Experience with vector databases Frameworks & Tools: PyTorch, TensorFlow, Hugging Face LangChain, LlamaIndex Nice to Have: Experience in enterprise AI strategy development Performance tuning of GenAI systems (Interested candidates can share their CV with us at or reach us at aradhana@hungrybird.in .) PLEASE MENTION THE RELEVANT POSITION IN THE SUBJECT LINE OF THE EMAIL. Example: KRISHNA, HR MANAGER, 7 YEARS, 20 20DAYS NOTICE. Name: Position applying for: Total experience: Notice period: Current Salary: Expected Salary: Thanks and Regards Aradhana Sonkar +91 9959417171 aradhana@hungrybird.in

As an AI Architect with 8-12 years of experience, you will be based in Hyderabad for 3 days a week. Your primary focus will be on collaborating with banking institutions to shape their AI strategy and design their AI platform. Your key responsibilities will include identifying the most suitable AI techniques for various client use cases, such as supervisory or reinforced learning, and LLM models. You should also possess experience in crafting architecture for ML ops platforms, encompassing tasks like model management and deployment. Additionally, familiarity with either custom or GCP ML orchestration platforms for building, managing, and deploying models is highly desirable.,

You should be skilled in AI architecture with hands-on experience in various machine learning models for at least 4-5 years. Proficiency in either Java or Python is required for this role.,

You will be working as a Sr AI Architect at Wipro Limited, a leading technology services and consulting company known for building innovative solutions to meet clients" complex digital transformation needs. In this role, your responsibilities will include designing solutions and implementing generative AI models and algorithms using cutting-edge techniques like GPT, VAE, and GANs. You will also be expected to architect products/solutions using cloud services from Azure, GCP, and AWS, and integrate cloud GenAI algorithms such as ChatGPT, Bedrock, Bard, PaLM, etc. Collaboration with cross-functional teams to define AI project requirements and objectives in alignment with overall business goals will be a key aspect of your role. You will need to stay updated on the latest advancements in generative AI, machine learning, and deep learning techniques, identifying opportunities to incorporate them into products and services. Optimizing existing generative AI models for enhanced performance, scalability, and efficiency will also be part of your responsibilities. Additionally, you will be responsible for developing and maintaining AI pipelines, including tasks like data preprocessing, feature extraction, model training, and evaluation. Driving the team to build GenAI products/solutions and having experience working in Agile methodology are essential requirements for this role. At Wipro, we are on a journey to reinvent our business and industry. We are looking for individuals who are inspired by reinvention, eager to evolve themselves, their careers, and their skills. If you are someone who thrives on constant change and growth, Wipro offers you the opportunity to be part of a purpose-driven business that encourages you to design your own reinvention. Join us at Wipro to realize your ambitions and be part of a workplace that welcomes applications from individuals with disabilities.,

Apply only if your skills and experience matches with jd. Immediate or 15 days For Detailed JOB DESCRIPTION https://docs.google.com/document/d/1IWoipCZ5u30tNIcu0Ztzo0a1TrXHmldjFuBbNbflVvw/edit?usp=sharing Health insurance Provident fund

Greetings from V2Soft! We are hiring for AI Architect for Bangalore Location Role : AI Architect Exp : 9 - 16 years Location : Bangalore Mode : Work from Office Skills : AI, AI Architect, Python, Pytorch, Gen AI, TensorFlow, Open API, AI Models, scikit-learn Role & responsibilities AI Architect A Key Responsibilities: 1. Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals. 2. Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities. 3. Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models. 4. Model Training and Evaluation: Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics. 5. Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems. 6. Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions. 7. Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration. 8. Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions. 9. Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows. 10. Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues. 11. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments. Qualifications and Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus. Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members. Interested Candidates can send your updated resume to : kkumarpn@v2soft.com Regards Kiran

As an AI Architect at Wipro Limited, you will be responsible for designing solutions and implementing generative AI models and algorithms using cutting-edge techniques such as GPT, VAE, and GANs. You will work on integrating cloud services from Azure, GCP, and AWS and collaborate with cross-functional teams to define AI project requirements aligned with overall business goals. Your role will involve researching the latest advancements in generative AI, machine learning, and deep learning techniques to optimize existing models for enhanced performance, scalability, and efficiency. You will also be developing and maintaining AI pipelines, including data preprocessing, model training, and evaluation. To succeed in this role, you should have a minimum of 6 years of experience in architecting AI ML applications, with at least one year focused on Generative AI. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure, as well as natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, will be beneficial. In addition to your technical skills, you will be expected to develop architectural solutions for new deals and major change requests, create enterprise-wide architectures, and provide technical leadership in the design and implementation of custom solutions. Your responsibilities will also include enabling delivery teams by offering optimal delivery solutions, managing projects, identifying risks, and ensuring quality assurance. Furthermore, you will be involved in competency building and branding by completing necessary trainings, developing proof of concepts, and presenting Wipro's point of view on solution design through white papers and blogs. Team management will also be a key aspect of your role, including resourcing, talent management, performance management, and employee satisfaction and engagement. Join Wipro Limited to be part of a modern digital transformation partner with bold ambitions. We value individuals who are inspired by reinvention and are committed to continuous evolution and growth. Come to Wipro and realize your ambitions in a purpose-driven environment that empowers you to design your own reinvention. Applications from people with disabilities are warmly encouraged.,

A leading Architectural, Interior Design and Project Management Consultancy firm with 300+ strong team is looking for an Architect with AI background. Detail Role and Responsibility; 1. Research and adopt the AI that is being used in Architectural Office for increasing productivity in day to day office work. It will include Microsoft Office AI which can be used in word, excel, powerpoint; AI used in Rendering images etc. to simply formatting, rendering etc. 2. Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization 3. To Educate the SSA Team by giving presentation to the various studios to implement AI based architecture in the office. Assist architectural team in the organization to move forward with integrating AI into their existing systems and preparing them for new programs and applications to keep pace with emerging trends. 4. Monitor AI industry trends and maintain state-of-the-art architectural industry knowledge. 5. Create architectural approaches for AI software and hardware integration 6. Educate teams regarding the use of AI with respect to various data we would have on the project regarding efficiency of various types of buildings, Codal compliance, Hours required for various types of buildings during various stages etc. 7. Create a data base of all SSA project hours data and be able to get the anticipated hours equired for various types of projects from SSA historical data. 8. Create a data base of all SSA Projects in terms of all parameters of the Project including Site Area, FAR area, Built up Areas, Efficiencier various building types and be able to review and retrieve it quickly. Create a intranet to be able to be accessed by all Management level. Exp.- Minimum 3-5 years of architectural experience and a strong interest in AI use for architecture

Job Title: AI Architect Location: [Mindspace Hyderabad] Job Type: Full-time Positions Available: 1 Role Overview: We are seeking an experienced AI Architect to design, develop, and optimize next-generation AI-driven solutions. The ideal candidate will bring strong expertise in MCP (Model Context Protocol) , hands-on experience in building and deploying AI agents , and advanced proficiency in Python programming . This role requires both technical excellence and strong communication skills to collaborate effectively with cross-functional teams. Key Responsibilities: Design and implement AI architecture and frameworks leveraging MCP. Develop, deploy, and manage AI agents to solve business challenges. Build scalable AI/ML pipelines using Python and modern frameworks. Evaluate emerging AI technologies and integrate them into business solutions. Collaborate with product managers, engineers, and stakeholders to define AI strategies and roadmaps. Ensure best practices in model governance, security, and performance optimization. Mentor junior engineers and provide technical guidance on AI development. Required Skills & Experience: Proven experience as an AI Architect / Senior AI Engineer . Strong understanding and practical experience with MCP (Model Context Protocol) . Hands-on experience in building and deploying AI agents . Expert-level programming in Python (TensorFlow, PyTorch, LangChain, or similar libraries preferred). Strong communication and collaboration skills. Ability to design scalable, production-grade AI solutions. Preferred Qualifications: Experience with cloud AI platforms (AWS, Azure, GCP). Knowledge of LLM-based applications , vector databases, and retrieval-augmented generation (RAG). Familiarity with containerization (Docker, Kubernetes) and MLOps best practices. AI/ML-related certifications are a plus. Please share your updated resumes to naseeruddin.khaja@infosharesystems.com

Job Title: GenAI Architect Experience Required: 10+ years in software architecture or machine learning roles, including at least 2+ years focused on Generative AI or Large Language Models (LLMs). Role Overview We are seeking a GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions. This role requires deep expertise in LLMs, advanced AI architectures, and the ability to build scalable and production-ready systems leveraging the latest in AI technologies. Key Responsibilities Architect and implement GenAI solutions, including LLMs, RAG pipelines, embedding models, and vector search . Design and optimize prompt engineering strategies, fine-tuning approaches , and mitigate hallucinations in AI outputs. Develop robust AI workflows using Python, LangChain, Hugging Face Transformers , and vector databases such as Pinecone or Weaviate . Integrate and leverage GenAI APIs (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI). Deploy AI applications in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized architectures . Lead model evaluation, performance tuning, and ensure scalable architecture for enterprise use cases. Collaborate with business stakeholders to translate complex AI concepts into actionable solutions and value-driven outcomes. Required Skills & Qualifications 10+ years of experience in software architecture or machine learning, with 2+ years in GenAI/LLM-focused roles . Strong expertise in: LLMs and RAG pipelines Prompt engineering, fine-tuning, and hallucination mitigation LangChain, Hugging Face Transformers, Python Vector databases (Pinecone, Weaviate, etc.) Proficiency in deploying solutions on AWS/GCP/Azure with Kubernetes. Experience with model evaluation frameworks and industry best practices. Ability to communicate AI strategies and outcomes to non-technical stakeholders. Preferred Qualifications Hands-on experience with LLMOps tools (Weights & Biases, MLflow, Trulens, PromptLayer). Knowledge of domain-specific AI applications (real estate, finance, risk modeling). Exposure to multi-modal GenAI (text, image, document, voice). Contributions to open-source projects, research publications, or patents in AI/ML.

Job Title: GenAI Architect Experience Required: 10+ years in software architecture or machine learning roles, including at least 2+ years focused on Generative AI or Large Language Models (LLMs). Role Overview We are seeking a GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions. This role requires deep expertise in LLMs, advanced AI architectures, and the ability to build scalable and production-ready systems leveraging the latest in AI technologies. Key Responsibilities Architect and implement GenAI solutions, including LLMs, RAG pipelines, embedding models, and vector search . Design and optimize prompt engineering strategies, fine-tuning approaches , and mitigate hallucinations in AI outputs. Develop robust AI workflows using Python, LangChain, Hugging Face Transformers , and vector databases such as Pinecone or Weaviate . Integrate and leverage GenAI APIs (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI). Deploy AI applications in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized architectures . Lead model evaluation, performance tuning, and ensure scalable architecture for enterprise use cases. Collaborate with business stakeholders to translate complex AI concepts into actionable solutions and value-driven outcomes. Required Skills & Qualifications 10+ years of experience in software architecture or machine learning, with 2+ years in GenAI/LLM-focused roles . Strong expertise in: LLMs and RAG pipelines Prompt engineering, fine-tuning, and hallucination mitigation LangChain, Hugging Face Transformers, Python Vector databases (Pinecone, Weaviate, etc.) Proficiency in deploying solutions on AWS/GCP/Azure with Kubernetes. Experience with model evaluation frameworks and industry best practices. Ability to communicate AI strategies and outcomes to non-technical stakeholders. Preferred Qualifications Hands-on experience with LLMOps tools (Weights & Biases, MLflow, Trulens, PromptLayer). Knowledge of domain-specific AI applications (real estate, finance, risk modeling). Exposure to multi-modal GenAI (text, image, document, voice). Contributions to open-source projects, research publications, or patents in AI/ML.

The role of an AI Architect involves leading the design and development of intelligent enterprise solutions powered by Microsoft Copilot, Azure AI, and agentic frameworks. This position presents a unique opportunity to influence the application of AI in practical business scenarios by integrating large language models, natural language interfaces, and multi-step intelligent workflows into enterprise systems. If you are enthusiastic about creating human-like, context-aware digital agents capable of automating, orchestrating, and transforming workflows, this role is tailored for you. Responsibilities include architecting and implementing AI solutions using Microsoft 365 Copilot, designing and developing agentic workflows across Microsoft 365 and Azure ecosystems, building use cases for various domains using agentic frameworks, creating extensible copilots by integrating enterprise data through various frameworks, designing natural language-driven user experiences, collaborating with cross-functional teams to transform requirements into scalable solutions, defining and promoting standards for prompt engineering, responsible AI, security, and performance optimization, and staying updated on Microsoft's AI roadmap and evolving capabilities. The ideal candidate for this role should have experience in building intelligent applications using REST APIs and SDKs, integrating AI into enterprise workflows and business logic, and working collaboratively with data scientists, architects, and engineering teams. Additionally, the candidate should possess a total of 10-15 years of IT industry experience, with a minimum of 4+ years in Azure AI solutions, enterprise architecture, or AI/ML-focused development roles. Preferred certifications include Azure AI Engineer Associate (highly recommended) and Azure Solutions Architect Expert (good to have). If you are a forward-thinking individual with a passion for AI and a strong background in Azure AI solutions, this role offers a platform to drive innovation and make a significant impact in the field of artificial intelligence.,

About KPMG in India KPMG entities in India are professional services firms affiliated with KPMG International Limited since August 1993. Leveraging the global network of firms, our professionals are well-versed in local laws, regulations, markets, and competition. With offices in major cities across India, including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, KPMG entities in India provide services to national and international clients across various sectors. Our focus is on delivering rapid, performance-based, industry-focused, and technology-enabled services that demonstrate a deep understanding of global and local industries and the Indian business environment. AI Architect We are looking for a skilled and experienced AI Architect to join our team. As an AI Architect, you will be responsible for overseeing AI-related projects, contributing to AI proposals, designing solution architectures, leading AI projects, and ensuring timely delivery by mentoring junior team members. The ideal candidate should have a minimum of 6 years of relevant experience in leading and managing AI projects. Responsibilities - Design and develop solution architectures for AI projects. - Lead and oversee AI-related projects from inception to delivery. - Collaborate with sales and business teams on RFPs, proposals, and project designs. - Stay updated on industry trends and advancements in AI technologies. - Provide technical guidance and support to junior team members. - Mentor and train junior team members in AI best practices and methodologies. - Ensure compliance with best practices, security guidelines, and data protection standards while implementing AI. - Work closely with stakeholders to understand business objectives and translate them into AI solutions. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or related fields. - Minimum of 6 years of experience in architecting AI solutions. - Proficiency in AI services and technologies. - Track record of successfully leading and delivering AI projects. - Excellent communication and leadership skills. - Ability to collaborate with cross-functional teams. - Strong problem-solving and analytical skills. - Relevant certifications in AI technologies. Equal Employment Opportunity Information,

As a US-based tech company with a global reach, DXFactor is renowned for being a certified Great Place to Work. Currently, we are seeking talented individuals for the position of AI Architect / Tech Lead AI at our Ahmedabad location. In this role, you will be at the forefront of developing a cutting-edge AI video marketing system that revolutionizes the traditional content creation process. The focus will be on leveraging AI technology to not only edit or repurpose content, but to generate, orchestrate, and deploy marketing content autonomously through AI agents. Your responsibilities will include designing Agentic AI Systems for Content Creation, where you will architect AI workflows that enable agents to collaborate in analyzing, scripting, editing, generating, and optimizing marketing videos using advanced technologies such as LLMs, vision models, and orchestration layers. Additionally, you will lead the development of Multi-Agent Pipelines by building intelligent systems that utilize frameworks like LangChain, AutoGen, or CrewAI to coordinate agents for various tasks such as scripting, visual editing, channel adaptation, voice/speech synthesis, and A/B testing. Moreover, you will apply AI to real-world video marketing use cases by using diverse content sources like UGC, branded, and influencer content to generate customized marketing assets suitable for different platforms. You will also be responsible for generating Synthetic Media when necessary, by integrating tools like Runway, Synthesia, Pika, or ElevenLabs to create or enhance content components. Furthermore, as the Lead Architect, you will be tasked with integrating AI systems with various components of the marketing stack including Content Management Systems (CSMs), Digital Asset Management (DAM) systems, ad tech APIs (Meta, TikTok, Google Ads), social platforms (YouTube, Instagram), and performance tools (Google Analytics, Segment, attribution platforms). Your role will encompass not only designing the architecture but also hands-on development, ensuring seamless integration and functionality across the marketing ecosystem.,

Rockwell Automation is a global technology leader dedicated to assisting the world's manufacturers in enhancing productivity, sustainability, and agility. With over 28,000 employees striving to make a positive impact daily, we take pride in our exceptional team. Our customers, remarkable companies contributing to essential sectors such as healthcare, agriculture, and environmental conservation, inspire our team of energetic problem solvers to drive meaningful change worldwide. If you are a maker, forward thinker, or problem solver seeking a platform to showcase your skills, we invite you to consider joining us! As an AI Architect at Rockwell Automation based in Pune, Noida, or Bangalore, India, you will play a crucial role in designing, developing, and implementing enterprise-grade artificial intelligence solutions. Reporting to the Director of Enterprise Architecture, you will operate from our Pune office in a hybrid capacity. Collaborating with diverse teams including data scientists, engineers, and business leaders, you will ensure that AI systems are scalable, secure, and aligned with organizational objectives. **Your Responsibilities:** - **Architect and implement AI solutions**: Design and supervise end-to-end AI architectures that seamlessly integrate with existing IT and data infrastructure, focusing on scalability, performance, and maintainability. - **Lead cross-functional delivery teams**: Provide guidance to data scientists, engineers, and business stakeholders across the AI solution lifecycle, from ideation and prototyping to production deployment and monitoring. - **Evaluate and recommend technologies**: Assess AI/ML platforms, frameworks, and tools to ensure alignment with business requirements and technical feasibility. - **Establish best practices**: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. - **Mentor and evangelize**: Offer technical leadership and mentorship to junior architects and data professionals, while advocating for AI adoption and architectural vision within the organization. **The Essentials You Will Have:** - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 5+ years of experience in designing and implementing AI architectures in production environments. - Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and cloud-based AI services. - Strong programming skills in Python, R, Java, or similar languages. - Deep understanding of data structures, algorithms, and software engineering best practices. - Experience leading complex AI projects with cross-functional teams and delivering solutions that drive business outcomes. - Familiarity with ethical AI practices and data protection regulations. **The Preferred You Might Also Have:** - Experience deploying AI solutions on cloud platforms in hybrid or multi-cloud environments. - Knowledge of MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. - Strong problem-solving abilities and the capacity to translate business requirements into scalable technical solutions. - Experience in mentoring and developing talent within AI or data science teams. **What We Offer:** Our benefits package includes comprehensive mindfulness programs, volunteer paid time off, employee assistance programs, personalized wellbeing programs, on-demand professional development courses, and other local benefits. At Rockwell Automation, we are committed to fostering a diverse, inclusive, and authentic workplace. If you are enthusiastic about this role but do not meet every qualification in the job description, we encourage you to apply as you might be the right fit for this position or other roles. Rockwell Automation's hybrid policy mandates employees to work at a Rockwell location at least on Mondays, Tuesdays, and Thursdays unless they have a business obligation elsewhere.,

Understanding of business requirements from the discovered information is crucial for the successful implementation of the project. Collaborating with the AI Architect to select the appropriate LLM Model and its variants for optimal performance and cost efficiency is a key responsibility. It is essential to engage in high-level and low-level designing of the solution in alignment with the architected solution to ensure a robust outcome. Optimizing the design considering various aspects such as performance, security, scalability, portability, and maintainability is necessary for overall success. Close collaboration with the Customer's Program Owner is required to foster a strong partnership between HCLTech and the Customer team. Providing mentoring and comprehensive guidance to the technical team, which comprises a mixed squad from HCLTech, is essential for knowledge transfer and skill development. Assisting the technical team in configuration, customization, and development of target services will contribute to the smooth execution of the project. Additionally, familiarity with Azure/AWS Cloud Architecture, Azure Open AI/AWS Bedrock, Azure/AWS Cognitive Services, Azure Cognitive Search, Azure Data Pipeline on ADF/ADB, Azure Function/AWS Serverless, Azure Cosmos/Vector DB, and Python is advantageous for this role.,

About KPMG in India KPMG entities in India are professional services firms affiliated with KPMG International Limited. Established in India in August 1993, our professionals leverage the global network of firms and possess in-depth knowledge of local laws, regulations, markets, and competition. With offices across India in cities like Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, KPMG entities offer services to national and international clients across various sectors. The aim is to deliver rapid, performance-based, industry-focused, and technology-enabled services that demonstrate a shared understanding of global and local industries along with experience in the Indian business environment. Job Description: As an AI Architect at KPMG in India, you will be responsible for overseeing AI-related projects within the team. Your role will involve contributing to AI-related proposals, designing solution architectures, leading AI projects, and ensuring timely delivery by providing mentorship to junior team members. The ideal candidate should possess a minimum of 6 years of relevant experience, with a strong background in leading and managing AI projects. Responsibilities: - Design and develop solution architectures for AI projects. - Lead and oversee AI-related projects from inception to delivery. - Collaborate with sales and business teams for RFPs, proposals, and project designs. - Stay updated with industry trends and advancements in AI technologies. - Offer technical guidance and support to junior team members. - Mentor and train junior team members on AI best practices and methodologies. - Ensure adherence to best practices, security guidelines, and data protection standards during AI implementation. - Work closely with stakeholders to understand business objectives and translate them into AI solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or related fields. - Minimum of 6 years of experience in architecting AI solutions. - Proficiency in AI services and technologies. - Track record of successfully leading and delivering AI projects. - Strong communication and leadership skills. - Ability to collaborate effectively with cross-functional teams. - Excellent problem-solving and analytical skills. - Relevant certifications in AI technologies. Equal employment opportunity information,

Job description Role & responsibilities Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. Perks and benefits If you are comfortable, please share below details sputtaswamy@v2soft.com. Candidate Name :- Total Experience :- Relevant experience Company Name (Permanent/Contract) :- Current CTC :- Expected CTC :- Notice period (Officially) :- Current Location :- Reason for Job Change :- Best time to contact :-

We're Hiring: AI/ML Platform Lead Are you passionate about driving cutting-edge AI and machine learning initiatives? Join as an AI/ML Platform Lead and lead the future of intelligent data solutions! Job Description & Requirements: Were looking for a dynamic professional with: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Hands-on experience with platforms such as Dataiku, Azure ML, Azure AI, Foundry , and other related systems Strong knowledge of Agile methodologies , DevOps practices , and CI/CD pipeline management Exceptional ability to manage multiple priorities in a fast-paced, dynamic environment Proven leadership skills in guiding cross-functional teams and leading large-scale tech initiatives Experience with Agile methodologies is a plus Interested? Send your CV to admin@spearheadps.com or reach out via WhatsApp- 9899080360 for more details!

Job Title: IT-Lead Architect Architect AI Years of Experience: 10-15 Years Mandatory Skills: Data Architect, Team Leadership, AI/ML Expert, Azure, SAP Good to have: Visualization, Python Key Responsibilities: Lead a team of architects and engineers focused on Strategic Azure architecture and AI projects. Develop and maintain the companys data architecture strategy and lead design/architecture validation reviews. Drive the adoption of new AI/ML technologies and assess their impact on data strategy. Architect scalable data flows, storage, and analytics platforms, ensuring secure and cost-effective solutions. Establish data governance frameworks and promote best practices for data quality. Act as a technical advisor on complex data projects and collaborate with stakeholders. Work with technologies including SQL, SYNAPSE, Databricks, PowerBI, Fabric, Python, SQL Server, and NoSQL. Required Qualifications & Experience: Bachelor’s or Master’s degree in Computer Science or related field. At least 5 years in a leadership role in data architecture. Expert in Azure, Databricks, and Synapse. Proven experience leading technical teams and strategic projects, specifically designing and implementing AI solutions within data architectures. Deep knowledge of cloud data platforms (Azure, Fabric, Databricks, AWS), data modeling, ETL/ELT, big data, relational/NoSQL databases, and data security. 5 years of experience in AI model design & deployment. Strong experience in Solution Architecture. Excellent communication, stakeholder management, and problem-solving skills.

At NiCE, we challenge our limits and strive to be game changers in everything we do. If you are ambitious, innovative, and always play to win, we have the ultimate career opportunity that will ignite your passion for excellence. We are currently looking for an experienced AI Architect who possesses not only strategic thinking skills but also a hands-on approach to coding. In this role, you will be involved in both proof-of-concept (POC) and production-grade AI projects. Your responsibilities will include mentoring team members, establishing ethical AI practices, and making critical decisions regarding AI deployment strategies. It is essential to have a strong background in deploying AI solutions on cloud platforms like Azure or AWS, as well as expertise in building secure and compliant data and machine learning pipelines. As a proactive leader, you will be responsible for bridging the gap between innovation and execution while ensuring scalability, security, and governance in AI systems. Your impact will be significant as you: - Build scalable AI systems and infrastructure capable of handling large datasets, ensuring performance, reliability, and maintainability. - Lead the development of secure and compliant data and machine learning pipelines, aligning with data governance and regulatory standards. - Design, develop, and implement AI models and algorithms to solve real-world business problems. - Mentor team members on AI technologies, best practices, and system architecture. - Collaborate with stakeholders to identify AI-driven innovation opportunities and translate business requirements into technical solutions. - Promote ethical and responsible AI practices across the organization. - Take ownership of strategic decisions related to AI deployment and lifecycle management. - Conduct research and implement machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques. - Develop AI applications using modern frameworks and run experiments to enhance model performance. - Define and implement AI project Software Development Lifecycle (SDLC) processes. To be successful in this role, you should have: - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field. - Proven experience as an AI Architect with a track record of deploying AI solutions in production. - Strong expertise in AI/ML technologies, cloud platforms, and secure data management. - Proficiency in programming languages such as Python, .NET, and AI/ML frameworks. - Experience with AI project SDLC, CI/CD for ML, and AI testing strategies. - Familiarity with DevOps and Data Engineering tools and practices. - Strong analytical and problem-solving skills. - Excellent communication skills to convey complex technical concepts. Join NiCE, a global company where innovation and collaboration thrive. Embrace the NICE-FLEX hybrid work model for maximum flexibility and endless opportunities for growth and development. If you are passionate, innovative, and ready to raise the bar, come join us at NiCE! Requisition ID: 7474 Reporting into: Tech Manager Role Type: Individual Contributor About NiCE: NICELtd. (NASDAQ: NICE) is a global leader in software products used by over 25,000 businesses worldwide. With a focus on delivering exceptional customer experiences and ensuring public safety, NiCE is known for its innovation in AI, cloud, and digital domains. Join our team of over 8,500 employees across 30+ countries and be part of our journey towards excellence.,

As an AI Architect at NiCE, you will be responsible for building scalable AI systems and infrastructure capable of handling large datasets while ensuring performance, reliability, and maintainability. You will lead the development of secure, compliant data and machine learning pipelines to align with data governance and regulatory standards such as GDPR. Your role will involve designing, developing, and implementing AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions. Mentoring and guiding team members on AI technologies, best practices, and system architecture will be a key aspect of your role, fostering a culture of continuous learning and innovation within the organization. You will collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions. Additionally, you will be responsible for establishing and promoting ethical and responsible AI practices across the organization. Your impact will also include taking ownership of strategic decisions related to AI deployment, architecture, and lifecycle management. You will conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases. Furthermore, you will develop and maintain AI applications using modern frameworks such as TensorFlow, PyTorch, LangChain, and Haystack, running experiments to evaluate and improve model performance. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience as an AI Architect or in a similar senior AI/ML role is required, along with a track record of deploying multiple AI solutions in production. Proficiency in cloud platforms such as Azure or AWS is essential, as well as strong expertise in AI/ML technologies, RAG architectures, and Vector Databases. Your proficiency in programming languages like Python, .NET, or similar, along with familiarity with AI/ML frameworks and libraries, will be crucial. Experience with AI project Software Development Lifecycle (SDLC), model versioning, CI/CD for ML, and AI testing strategies is also necessary. Strong analytical and problem-solving skills, along with excellent communication skills to convey complex technical concepts, are highly valued in this position. Join NiCE, a global company known for market disruption and innovation, where you will work in a fast-paced, collaborative, and creative environment. Embrace the NICE-FLEX hybrid model that offers maximum flexibility with a balance of office and remote work, enabling teamwork, collaboration, and innovation. If you are passionate, innovative, and eager to push boundaries, NiCE offers endless internal career opportunities for growth and development across various roles, disciplines, domains, and locations.,

AI Architect,C-level stakeholders, AI/ML,modern AI frameworks (DSPy, LangGraph, or similar),AI/ML architecture roles with enterprise clients,Customer relationship management and sentiment analysis

Job Summary: We are seeking a forward-thinking AI Architect to design, lead, and scale enterprise-grade AI systems and solutions across domains. This role demands deep expertise in machine learning, generative AI, data engineering, cloud-native architecture, and orchestration frameworks. You will collaborate with cross-functional teams to translate business requirements into intelligent, production-ready AI solutions. Key Responsibilities: Architecture & Strategy Design end-to-end AI architectures that include data pipelines, model development, MLOps, and inference serving. Create scalable, reusable, and modular AI components for different use cases (vision, NLP, time series, etc.). Drive architecture decisions across AI solutions, including multi-modal models, LLMs, and agentic workflows. Ensure interoperability of AI systems across cloud (AWS/GCP/Azure), edge, and hybrid environments. Technical Leadership Guide teams in selecting appropriate models (traditional ML, deep learning, transformers, etc.) and technologies. Lead architectural reviews and ensure compliance with security, performance, and governance policies. Mentor engineering and data science teams in best practices for AI/ML, GenAI, and MLOps. Model Lifecycle & Engineering Oversee implementation of model lifecycle using CI/CD for ML (MLOps) and/or LLMOps workflows. Define architecture for Retrieval Augmented Generation (RAG), vector databases, embeddings, prompt engineering, etc. Design pipelines for fine-tuning, evaluation, monitoring, and retraining of models. Data & Infrastructure Collaborate with data engineers to ensure data quality, feature pipelines, and scalable data stores. Architect systems for synthetic data generation, augmentation, and real-time streaming inputs. Define solutions leveraging data lakes, data warehouses, and graph databases. Client Engagement / Product Integration Interface with business/product stakeholders to align AI strategy with KPIs. Collaborate with DevOps teams to integrate models into products via APIs/microservices. Required Skills & Experience: Core Skills Strong foundation in AI/ML/DL (Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, etc.) Advanced knowledge of Generative AI (LLMs, diffusion models, multimodal models, etc.) Proficiency in cloud-native architectures (AWS/GCP/Azure) and containerization (Docker, Kubernetes) Experience with orchestration frameworks (Airflow, Ray, LangGraph, or similar) Familiarity with vector databases (Weaviate, Pinecone, FAISS), LLMOps platforms, and RAG design Architecture & Programming Solid experience in architectural patterns (microservices, event-driven, serverless) Proficient in Python and optionally Java/Go Knowledge of APIs (REST, GraphQL), streaming (Kafka), and observability tooling (Prometheus, ELK, Grafana) Tools & Platforms ML lifecycle tools: MLflow, Kubeflow, Vertex AI, Sagemaker, Hugging Face, etc. Prompt orchestration tools: LangChain, CrewAI, Semantic Kernel, DSPy (nice to have) Knowledge of security, privacy, and compliance (GDPR, SOC2, HIPAA, etc.)