3 Ai Architectures Jobs

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.,

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. You will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Lead the design and development of generative AI models, including but not limited to transformers and Large Language Models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to improve performance and capabilities continually. Contribute to the development of AI strategies that align with organizational goals and objectives. Required Skills & Experience: - Proven experience in AI/ML model development, with a focus on generative models such as LLM, transformers. - Strong experience in MLOps. - Strong experience designing and deploying scalable AI architectures in the cloud environments (AWS/Azure/GCP). - Experience with AI frameworks and libraries such as Tensor Flow PyTorch. - Experience with data engineering and pre-processing for generative models. - Deep understanding of deep learning, reinforcement learning, unsupervised learning, and Natural Language Processing (NLP). - Proficiency in Python and other relevant programming languages. - Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.,

Designing and implementing advanced state-of-the-art AI architectures, specializing in LLMs, SLMs, VLMs and MLLMs. Develop Gen AI workflows, fine tune and work with stakeholders. Perform scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety. Understand user behavior and requirements and develop accordingly. Write Generative AI pipelines to give contextual awareness of structured and unstructured data to LLMs. Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining. Create and own cloud native API to deploy ML models. Craft data warehousing strategy along with instrumenting ETL pipelines for maintaining quality data to be used for Model Training. Design and implement A/B experiments user segmentation, user classification, and tooling to support A/B experiments. Research and apply state-of-the-art techniques in Deep Learning and Generative AI Domain. Build and enhance NLP pipelines for hierarchical data.