6 Aiml Architecture Jobs

As an AI/ML Technical Lead at Cambridge University Press & Assessment, you will play a crucial role in shaping and implementing cutting-edge AI solutions that drive innovation within our organization. Your responsibilities will include leading a technical team working at the intersection of natural language processing, large language models, learning and assessment analytics, product development, and user security & safety. Cambridge University Press & Assessment is a distinguished global academic publisher and assessment organization proudly affiliated with the prestigious University of Cambridge. Our commitment is to excel in education, learning, and research on a global scale, empowering millions of individuals across over 170 countries. We embrace change as an opportunity for growth and progress, constantly adapting to meet the evolving needs of our customers through collaboration, attentive listening, and innovation. In this role, you will have the opportunity to collaborate with colleagues from diverse branches, expanding your horizons and enriching your understanding of different cultures. We prioritize your wellbeing and offer stability, fostering your professional and personal growth through internal and external activities and training sessions to help enrich your skillset. You will enjoy work-life balance flexibility through our range of options, including flexible schedules, hybrid work arrangements, and generous paid leave. Key responsibilities as an AI/ML Technical Lead will include: - AI/ML Architecture and Development - Team Leadership and Mentoring - Technical Strategy and Innovation - Stakeholder Collaboration - Continuous Learning and Knowledge Sharing You will work closely with the Head of Engineering and Operations to design and implement AI solutions aligned with business objectives, focusing on machine learning and natural language processing. Your role will involve leading and developing your team through technical mentoring, knowledge sharing, and promoting AI/ML best practices. Additionally, you will make architectural decisions, drive technical direction for AI initiatives, collaborate with Subject Matter Experts (SMEs) to translate product vision into technical requirements, and ensure solutions meet performance, scalability, and security standards. To excel in this position, you should have: - Several years of experience in AI/ML development - Extensive experience with ML frameworks (such as TensorFlow, PyTorch, scikit-learn) - Strong background in computer science, mathematics, statistical methods, and machine learning - Proficiency in relevant programming languages (such as Python, R, Java) - Proven experience with model deployment and monitoring in production environments - Track record of mentoring and developing other developers - Experience with agile development practices - Strong communication skills with both technical and business stakeholders - A relevant degree or demonstrable equivalent experience in a technical discipline This role requires a willingness to work Monday to Friday 10:00 - 18:00 (PH Time), with occasional flexibility to support incidents and collaborate with global teams. If you are passionate about driving AI innovation, leading technical teams, and contributing to impactful projects in a collaborative environment, we encourage you to apply for this exciting opportunity at Cambridge University Press & Assessment.,

As a Generative AI Architect at Techvantage.ai, your primary responsibility will be to design and lead end-to-end solutions incorporating Large Language Models (LLMs), diffusion models, transformers, and multimodal AI across various enterprise and consumer use cases. You will play a crucial role in developing robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. Your expertise will be essential in evaluating and integrating both open-source and proprietary models based on specific business requirements. In this strategic and high-impact role, you will be expected to collaborate closely with product managers, data scientists, engineers, and clients to design and implement cutting-edge GenAI-powered applications aligned with business objectives. Ethical considerations such as data privacy, model safety, and bias mitigation will be integral parts of your responsibilities. Moreover, your contribution to internal GenAI accelerators, reusable frameworks, and innovation strategies will be crucial to the continuous growth and development of the organization. To excel in this position, you should possess a minimum of 10 years of experience in technology roles, specifically in AI/ML architecture, data engineering, or solution architecture, with at least 3 years dedicated to designing and deploying Generative AI solutions. Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks is essential, as well as proficiency in Python, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. Strong communication and stakeholder management skills will also be key in effectively conveying complex AI concepts to non-technical audiences. While not a mandatory requirement, experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms, familiarity with agentic AI systems, autoML, RLHF, or autonomous agents, and knowledge of data governance, compliance, and responsible AI frameworks will be advantageous. Additionally, contributions to open-source AI projects or publications in the AI/ML domain would be considered a strong plus. A Master's or PhD in Computer Science, AI/ML, Data Science, or related field is preferred. Join us at Techvantage.ai and lead innovation at the forefront of Generative AI and intelligent systems. You will have the opportunity to work with a highly talented team, leverage state-of-the-art tools and models, and receive generous compensation that reflects your expertise and contributions.,

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.,

As a Technical Architect specializing in Generative AI at our Noida location, you will be responsible for leading the design and implementation of AI-driven architectures across complex enterprise systems. Your role will involve leveraging your deep coding expertise in Python, .NET Core, Angular, and Azure to modernize platforms, improve efficiency, and deliver intelligent automation through AI/ML solutions. Your key responsibilities will include designing and developing GenAI models for real-world use cases, building scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications, as well as developing AI accelerators such as agentic workflows, RAG pipelines, and LLM-integrated solutions. You will also be creating and iterating on proof-of-concepts aligned with business use cases. In terms of architecture and delivery, you will define and evolve the Gen AI roadmap for SDLC integration, architect event-driven, cloud-native systems using Azure tools and messaging services, and implement robust CI/CD, security, and code quality practices. Additionally, you will collaborate with fellow architects to align technical strategy with enterprise goals, partner with business stakeholders to translate workflows into intelligent, automated solutions, and present GenAI solutions and ROI in customer architecture review boards. The technical skill mandates for this role include proficiency in languages and frameworks such as Python, .NET Core, Angular or React, as well as experience with cloud services like Microsoft Azure, Cognitive Services, and AI Foundry. You should also be familiar with LLM techniques, CI/CD & DevOps practices, and architecture patterns like event-driven systems and modular, secure, scalable microservices. To qualify for this position, you should have 13-16 years of total experience in enterprise software, with at least 5 years in AI/ML architecture and cloud-native system design. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required, along with preferred certifications such as Azure Solutions Architect Expert or AWS/GCP Cloud Architect. Exposure to domains like insurance, finance, or regulated industries is advantageous. In this role, you will have the opportunity to lead GenAI strategy in a tech-forward enterprise, work in a collaborative, agile environment focused on innovation and delivery, and access career development and learning opportunities in AI and cloud technologies.,

As an experienced Data Architect with a focus on advanced analytics and Generative AI solutions, your role will involve architecting and delivering cutting-edge analytics and visualization solutions utilizing Databricks, Generative AI frameworks, and modern BI tools. You will be responsible for designing and implementing Generative AI solutions, integrating frameworks like Microsoft Copilot, and developing reference architectures for leveraging Databricks Agent capabilities. In this position, you will lead pre-sales engagements, conduct technical discovery sessions, and provide solution demos. You will collaborate with various stakeholders to align analytics solutions with business objectives and promote best practices for AI/BI Genie and Generative AI-driven visualization platforms. Additionally, you will guide the deployment of modern data architectures that integrate AI-driven decision support with popular BI tools such as Power BI, Tableau, or ThoughtSpot. Your role will also involve serving as a trusted advisor to clients, helping them transform their analytics and visualization strategies with Generative AI innovation. You will mentor and lead teams of consultants, ensuring high-quality solution delivery, reusable assets, and continuous skill development. Staying current on Databricks platform evolution, GenAI frameworks, and next-generation BI trends will be crucial for proactively advising clients on emerging innovations. To be successful in this role, you should have at least 8 years of experience in data analytics, data engineering, or BI architecture roles, with a minimum of 3 years of experience delivering advanced analytics and Generative AI solutions. Hands-on expertise with the Databricks platform, familiarity with Generative AI frameworks, and strong skills in visualization platforms are essential. Pre-sales experience, consulting skills, and knowledge of data governance and responsible AI principles are also required. Preferred qualifications include Databricks certifications, certifications in major cloud platforms, experience with GenAI prompt engineering, exposure to knowledge graphs and semantic search frameworks, industry experience in financial services, healthcare, or manufacturing, and familiarity with MLOps and end-to-end AI/ML pipelines. Your primary skills should include Data Architecture, with additional expertise in Power BI, AI/ML Architecture, Analytics Architecture, and BI & Visualization Development. Joining Infogain, a human-centered digital platform and software engineering company, will provide you with opportunities to work on cutting-edge projects for Fortune 500 companies and digital natives across various industries, utilizing technologies such as cloud, microservices, automation, IoT, and artificial intelligence.,

You are an experienced AI/ML Architect with over 8 years of hands-on AI/ML architecture experience, looking to join our team as a key member of the COE department. With a Ph.D. or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields, you will be responsible for leading the design and implementation of AI/ML solutions across various industry domains. Your role will involve acting as a trusted advisor to clients, understanding their business challenges, and developing scalable AI/ML strategies aligned with their vision. Your primary responsibilities will include engaging with enterprise customers and stakeholders to gather business requirements, translating challenges into effective AI/ML solutions, and designing end-to-end ML pipelines. You will collaborate with data engineers, scientists, and business SMEs to operationalize AI/ML solutions, present technical insights to diverse audiences, and lead POCs, pilots, and full-scale implementations. Staying updated on the latest trends in AI/ML, you will contribute to proposal development, technical documentation, and pre-sales engagements. To qualify for this role, you must possess a Ph.D. or Masters degree in relevant fields, along with deep knowledge of machine learning algorithms, NLP, computer vision, and deep learning frameworks. Experience with cloud AI/ML services, strong communication skills, and a proven track record of delivering AI solutions are essential. Familiarity with MLOps practices and tools is a plus. Preferred skills include experience in building GenAI or Agentic AI applications, knowledge of data governance and ethics in AI, and the ability to lead cross-functional teams while mentoring junior data scientists/engineers. Publications or contributions to AI/ML research communities are preferred but not mandatory.,