4 Ai Software Jobs

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

About this role: Wells Fargo is seeking a Senior Software Engineer to provide product support and drive the evolution of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the operating model to provide both vertical (product specific) and horizontal (cross product/platform) support. Your work will directly align with Wells Fargos mission to innovate and enhance the employee experience using advanced technology. The successful candidate will be able to build and maintain reliable, secure, and scalable AI solutions that improve employee workflows and enable seamless system integrations. As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. In this role, you will: Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails. Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Provide engineering support for AI driven solutions that enhance and streamline work processes, ensuring reliable, secure, and scalable applications aligned with business priorities. Act as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions for technology engineering disciplines. Design, code, test, and document solutions that align with both product specific and enterprise-wide goals. Lead the development of frameworks and solutions that provide both vertical support to specific business-aligned products and horizontal capabilities that can scale across multiple platforms. Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, and service as a peer mentor. Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 4+ years of engineering experience building and supporting large scale customer facing products using modern technologies. 2+ years building and delivering products using AI technologies. Desired Qualifications: Experience in backend application software development, with ability to quickly adapt to C# and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows. Deep knowledge of implementing guardrails and advanced techniques for query enrichment and re-writing Expertise in test or eval driven development including data and error analysis ensuring robust and scalable AI software. Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning Solid grasp of parsing, chunking, indexing and re-ranking of multiple file formats Experience with Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Proven ability to work across multiple teams and functions to drive alignment and execution. Demonstrated success in designing usability and delivering seamless user experience. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.

In this role, you will: Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails. Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Provide engineering support for AI driven solutions that enhance and streamline work processes, ensuring reliable, secure, and scalable applications aligned with business priorities. Act as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions for technology engineering disciplines. Design, code, test, and document solutions that align with both product specific and enterprise-wide goals. Lead the development of frameworks and solutions that provide both vertical support to specific business-aligned products and horizontal capabilities that can scale across multiple platforms. Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, and service as a peer mentor. Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 4+ years of engineering experience building and supporting large scale customer facing products using modern technologies. 2+ years building and delivering products using AI technologies. Desired Qualifications: Experience in backend application software development, with ability to quickly adapt to C# and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows. Deep knowledge of implementing guardrails and advanced techniques for query enrichment and re-writing Expertise in test or eval driven development including data and error analysis ensuring robust and scalable AI software. Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning Solid grasp of parsing, chunking, indexing and re-ranking of multiple file formats Experience with Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Proven ability to work across multiple teams and functions to drive alignment and execution. Demonstrated success in designing usability and delivering seamless user experience. Excellent collaboration, communication, and problem-solving skills.

About this role: Wells Fargo is seeking a Senior Software Engineer to provide product support and drive the evolution of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the operating model to provide both vertical (product specific) and horizontal (cross product/platform) support. Your work will directly align with Wells Fargos mission to innovate and enhance the employee experience using advanced technology. The successful candidate will be able to build and maintain reliable, secure, and scalable AI solutions that improve employee workflows and enable seamless system integrations. As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. In this role, you will: Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails. Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Provide engineering support for AI driven solutions that enhance and streamline work processes, ensuring reliable, secure, and scalable applications aligned with business priorities. Act as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions for technology engineering disciplines. Design, code, test, and document solutions that align with both product specific and enterprise-wide goals. Lead the development of frameworks and solutions that provide both vertical support to specific business-aligned products and horizontal capabilities that can scale across multiple platforms. Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, and service as a peer mentor. Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 4+ years of engineering experience building and supporting large scale customer facing products using modern technologies. 2+ years building and delivering products using AI technologies. Desired Qualifications: Experience in backend application software development, with ability to quickly adapt to C# and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows. Deep knowledge of implementing guardrails and advanced techniques for query enrichment and re-writing Expertise in test or eval driven development including data and error analysis ensuring robust and scalable AI software. Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning Solid grasp of parsing, chunking, indexing and re-ranking of multiple file formats Experience with Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Proven ability to work across multiple teams and functions to drive alignment and execution. Demonstrated success in designing usability and delivering seamless user experience. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.