AI Architect
3 weeks ago
Proven expertise to drive AI leadership capabilities to drive new revenues, efficiencies and customer experience for larger enterprises.
As part of your duties, you will be responsible for:
Experience with having deployed AI solutions and systems at large enterprises
Proven expertise in working with clients to design and build AI applications and systems that drive productivity and differentiation for enterprises – AI consulting experience preferred
Experience working in at least one of Insurance, Banking, Healthcare or transportation and logistics
Experience in leading AI R&D teams including new product development for AI-powered solutions
Exhibited thought leadership in the AI space
Built and mentored AI R&D and AI deployment teams.
Build robust enterprise wide architecture for AI solutions for clients - envision, build, deploy and operationalize an end-to-end machine learning and AI pipeline .
Work closely with enterprise and solution architects, to translate business and solution requirements to enterprise-wide AI architecture
Collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases. Discuss the feasibility of use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation. At the same time, bring attention to misaligned initiatives and impractical use cases.
Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders — business users, data scientists, security professionals, data engineers and analysts, and those in IT operations — and developing processes and products based on the inputs.
Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.
Practitioners’ ability to identify and infuse generative AI capabilities across all AI solutions that we conceptualize, build, deploy and take to market
Develop and implement state-of-the-art generative AI models and algorithms.
Conduct research and experimentation to improve existing models and propose novel approaches.
Collaborate with cross-functional teams to integrate generative AI solutions into real-world applications.
Stay up-to-date with the latest advancements in deep learning and generative models and apply them to enhance our AI capabilities.
Document research findings, prepare technical reports, and contribute to whitepaper/scientific publications.
Provide deep leadership and coaching in the project delivery lifecycle. Focus on shared learning, continuous improvement, and drive adoption of best practices.
Oversee the design and development of AI products and infrastructure for use across industries in B2C and B2B contexts
Requirement Analysis: Collaborate with stakeholders to understand business needs and identify opportunities where AI can provide value and address challenges.
Solution Design: Develop architectural designs and system blueprints that outline the components, algorithms, and technologies required to build AI solutions.
Algorithm Selection: Assess various AI algorithms, models, and frameworks to determine the most suitable ones for the specific use case and problem.
Data Processing: Design data pipelines and strategies for acquiring, preprocessing, cleaning, and transforming data to ensure its suitability for AI model training and deployment.
Model Development: Oversee the development and training of AI models, selecting appropriate techniques such as machine learning, deep learning, or reinforcement learning.
Performance Optimization: Fine-tuning AI models and algorithms to improve accuracy, efficiency, and scalability while considering speed, memory usage, and computational resources.
Ethical Considerations: Ensure ethical and responsible AI practices by addressing bias, fairness, privacy, and transparency throughout the AI system’s lifecycle.
Integration and Deployment: Collaborate with development teams to integrate AI systems into existing infrastructure, ensuring seamless deployment, scalability, and interoperability.
Testing and Validation: Conduct thorough testing and validation to assess AI systems’ performance, reliability, and robustness and iteratively refine them based on feedback and evaluation.
Audit AI tools and practices across data, models and software engineering with a focus on continuous improvement. Ensure a feedback mechanism to assess AI services, support model recalibration and retrain models.
Work closely with security and risk leaders to foresee and overturn risks, such as training data poisoning, AI model theft and adversarial samples, ensuring ethical AI implementation and restoring trust in AI systems. Remain acquainted with upcoming regulations and map them to best practices.
Skills
Ability to define the AI architecture strategy and technical specs for enterprise transformation
Ability to orchestrate execution of the technical strategy across data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and scale the AI initiatives
AI architecture and pipeline planning - Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must.
Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).
Auditing AI tools, ensuring model interoperability, foreseeing and designing to address risks
Strong educational background with a completed (or on-track to complete) PhD in deep learning, machine learning, related area, or equivalent experience.
Solid knowledge of deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
Familiarity with key concepts and techniques used in generative models, such as variational autoencoders (VAEs), generative adversarial networks (GANs), and flow-based models.
Strong programming skills in languages such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow.
Experience with large-scale data processing and distributed computing frameworks (e.g., Apache Spark, TensorFlow distributed).
Understanding of Graph Database and Vector Database along with knowledge of cloud computing platforms (e.g., AWS, Google Cloud).
Experience with deploying AI models in production environments.
Proficiency in additional programming languages, such as C++, Java, or R.
Familiarity with domain-specific applications of generative AI, such as computer vision, natural language processing, or healthcare.
Experiences
Track record in relevant research, such as deep learning and deep generative models, as evidenced by publications in top-tier venues (e.g., ICML, NeurIPS, ICLR, UAI, AIStats ).
Hands-on experience with current deep learning frameworks (e.g., PyTorch, TensorFlow) as evidenced by released code (e.g., GitHub repositories – version control awareness).
Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine tuning.
Experience in Generative AI Models (Text to Text, Text to Image), finetuning, prompt engineering and experience with frameworks like Langchain
Strong software engineering skills for rapid and accurate development of AI models and systems.
Provide business-oriented solution with ability to communicate effectively, both verbally and in writing, with technical and non-technical stakeholders.
Experience working in a collaborative environment, contributing to multidisciplinary teams and projects.
Proven ability to solve complex problems, think creatively, and adapt to evolving research trends.
-
Solution Architect
7 days ago
Noida, India Dreamy Jobs Full timeRole : AI and GenAI Solution ArchitectAbout the Role :We are seeking a highly motivated and experienced AI Solution Architect to join our growing team. In this critical role, you will play a pivotal role in designing and delivering innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their...
-
Solution Architect
7 days ago
noida, India Dreamy Jobs Full timeRole : AI and GenAI Solution Architect About the Role : We are seeking a highly motivated and experienced AI Solution Architect to join our growing team. In this critical role, you will play a pivotal role in designing and delivering innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their...
-
Solution Architect
7 days ago
Noida/Hyderabad, IN Dreamy Jobs Full timeRole : AI and GenAI Solution ArchitectAbout the Role :We are seeking a highly motivated and experienced AI Solution Architect to join our growing team. In this critical role, you will play a pivotal role in designing and delivering innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their...
-
Solution Architect
7 days ago
Noida/Hyderabad, India Dreamy Jobs Full timeRole : AI and GenAI Solution Architect About the Role : We are seeking a highly motivated and experienced AI Solution Architect to join our growing team. In this critical role, you will play a pivotal role in designing and delivering innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their...
-
AI Architect
3 weeks ago
Noida, India EXL Full timeProven expertise to drive AI leadership capabilities to drive new revenues, efficiencies and customer experience for larger enterprises.As part of your duties, you will be responsible for:Experience with having deployed AI solutions and systems at large enterprisesProven expertise in working with clients to design and build AI applications and systems that...
-
AI Architect
3 weeks ago
Noida, India EXL Full timeProven expertise to drive AI leadership capabilities to drive new revenues, efficiencies and customer experience for larger enterprises.As part of your duties, you will be responsible for:Experience with having deployed AI solutions and systems at large enterprisesProven expertise in working with clients to design and build AI applications and systems that...
-
Data Scientist-gen Ai
7 days ago
Noida, India Mott MacDonald Full timeData Scientist-Gen AI **Country**:India**Position Location**:Noida, Bangalore**Contract Type**:Permanent**Work Pattern**:Full Time**Sector**:Digital Ventures**Discipline**:Digital design**Job Ref**:1250- **Roles & Responsibilities**: - Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives. -...
-
Product Solutions Expert
4 weeks ago
Noida, Uttar Pradesh, India Eightfold AI Full timeProduct Solutions Expert Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who they are and their network's strength vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for...
-
▷ [3 Days Left] Generative AI Engineer
2 weeks ago
Noida, India Valiance Solutions Full timeCompany Overview:We are a dynamic and innovative technology company leveraging cutting-edge cloud technologies and generative AI to create groundbreaking solutions that address complex challenges across various industries. We are seeking a skilled AI Engineer to to drive the architecture and development of our AI/ML applications, contributing to our growth...
-
Cloud Architect
4 weeks ago
Noida, India Techneplus Full time**Role: Cloud Architect** **Exp: 10+yrs** **Location: Noida/Bangalore** - Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS) - Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery - Minimum of 5 years of professional experience in 2 of the following areas: -...
-
Integration Architect
7 days ago
noida, India Dreamy Jobs Full timeJob Description : Integration Architect Overview : Leading the Platforms team, you should strategize the platform and performance roadmap You should be responsible for architecting the middleware platform, which will be the hub for Integration of applications / streaming of data for an enterprise. You should be well versed in cloud Infrastructure,...
-
Technical Architect
2 weeks ago
Noida, India Strategic HR Solutions Full timeJob Description: Technical Leadership: - Provide technical leadership and guidance in the design and implementation of scalable and robust solutions.- Collaborate with cross-functional teams to define technical architectures that align with business objectives.Java Development: - Architect, design, and implement Java-based applications, ensuring code...
-
Associate Solution Architect
2 weeks ago
Noida, India Hestabit Technologies Pvt. Ltd. Full timeAssociate Solution Architect at HestaBit Technologies HestaBit, a global IT service provider founded in 2012, is on the hunt for an Associate Solution Architect. We offer a dynamic work environment that perfectly blends the excitement of innovation with the maturity of an established organization.Your Role : Architect solutions across various domains,...
-
Genai Architect
4 weeks ago
Noida, India GlobalLogic Full timeJob: - IRC211758- Location: - India - Noida- Designation: - Senior Consultant- Experience: - 10-15 years- Function: - Engineering- Skills: - GenAI PoC- Work Model: - Hybrid**Description**: Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive,...
-
Enterprise Architect
4 days ago
Noida, India R Systems Full timeR Systems is a leading digital product engineering company that designs and builds next-gen products, platforms, and digital experiences empowering clients across various industries to overcome digital barriers, put their customers first, and achieve higher revenues as well as operational efficiency. We constantly innovate and bring fresh perspectives to...
-
Enterprise Architect
4 days ago
Noida, India R Systems Full timeR Systems is a leading digital product engineering company that designs and builds next-gen products, platforms, and digital experiences empowering clients across various industries to overcome digital barriers, put their customers first, and achieve higher revenues as well as operational efficiency. We constantly innovate and bring fresh perspectives to...
-
Enterprise Architect
5 days ago
Noida, India R Systems Full timeR Systems is a leading digital product engineering company that designs and builds next-gen products, platforms, and digital experiences empowering clients across various industries to overcome digital barriers, put their customers first, and achieve higher revenues as well as operational efficiency. We constantly innovate and bring fresh perspectives to...
-
Solution Architect
2 days ago
Noida, Uttar Pradesh, India BirlaSoft Full timeCountry/Region: IN- Requisition ID: 11789- Work Model: - Position Type: - Salary Range: - Location: INDIA - NOIDA- BIRLASOFT OFFICE**Title**:Solution Architect**: - Description: - **Technical Skills** - At least 5+ years of hands-on experience with building language models, machine learning and AI models leveraging industry tools, products, and Azure...
-
Integration Architect
7 days ago
Noida/Hyderabad, IN Dreamy Jobs Full timeJob Description : Integration ArchitectOverview :Leading the Platforms team, you should strategize the platform and performance roadmap You should be responsible for architecting the middleware platform, which will be the hub for Integration of applications / streaming of data for an enterprise. You should be well versed in cloud Infrastructure, platforms /...
-
Integration Architect
7 days ago
Noida/Hyderabad, India Dreamy Jobs Full timeJob Description : Integration Architect Overview : Leading the Platforms team, you should strategize the platform and performance roadmap You should be responsible for architecting the middleware platform, which will be the hub for Integration of applications / streaming of data for an enterprise. You should be well versed in cloud Infrastructure,...