Texas Architects Job Listings

Generative AI Leader/Architect63393529061123120

Workable

Generative AI Leader/Architect

Tiger Analytics is looking for experienced Machine Learning Architect to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for a hands-on Engineering Lead with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can lead the design, development, and integration of AI-powered components into real-world, production-grade applications. This role demands strong engineering leadership and best practices, a practical approach to application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will lead the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases— all while ensuring compliance with enterprise integration standards. Requirements Responsibilities Lead the architecture, design, and implementation of GenAI/Agentic AI based solutions into real-world enterprise-ready applications. Collaborate with AI/ML teams to operationalize models using APIs, embeddings, vector databases, and prompt engineering techniques. Own full-stack development and integration of GenAI features into web/mobile applications. Establish best practices for scalable, secure, and maintainable AI-powered application development. Optimize application performance, latency, and reliability of AI features in production. Drive DevOps practices for continuous delivery and monitoring of AI-enabled services in production. Mentor engineers and guide code reviews, architectural decisions, and DevOps practices. Guide engineering teams in code quality, architectural reviews, and technical mentoring. Evaluate emerging GenAI tools and LLM frameworks (OpenAI, LangChain etc.) and make build-vs-buy recommendations. Oversee application-level development, testing, and deployment. Requirements 10+ years of full-stack application engineering experience, with at least 2 years leading cross-functional teams. Architect agentic AI systems using LangChain/LangGraph, CrewAI, and OpenAI Agentic SDK Design RAG architectures with hybrid search, vector databases, and knowledge graphs Optimize multi-agent workflows using reinforcement learning, dynamic orchestration, and memory management. Deploy scalable AI solutions on AWS/GCP (SageMaker, Vertex AI, Bedrock API). An Ideal Candidate would be of someone who has- 8+ years in AI/ML engineering with large-scale deployment expertise. Proficient in prompt engineering (zero-shot, chain-of-thought) and LLM evaluation. Strong background in insurance/financial domains (preferred) Agile collaborator with GitHub/VS Code proficiency Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Houston, TX, USA

Workable

Solutions Architect

Job Description: We are looking for a dynamic and experienced Solutions Architect to join our team. This role is pivotal in managing enterprise client relationships, overseeing the deployment of new and existing environments, providing expert support, and resolving complex technical queries. The ideal candidate will be a strategic thinker with strong technical acumen and excellent communication skills, capable of delivering innovative solutions and ensuring client satisfaction. Key Responsibilities: Enterprise Relationship Management: Serve as the primary point of contact for enterprise clients, building and maintaining strong relationships to understand their business goals and technical requirements. Collaborate with stakeholders to ensure alignment of solutions with business objectives. Act as a trusted advisor to enterprise clients, providing strategic guidance and proactive support. Deployment Oversight: Plan, coordinate, manage, and support the deployment of new and existing enterprise environments. Ensure that implementations are completed on time, within scope, and meet client expectations. Work cross-functionally with internal teams, including engineering and product, to deliver seamless solutions. Support and Troubleshooting: Provide advanced technical support to enterprise clients, resolving complex technical issues in their environments. Conduct root cause analysis for recurring problems and implement long-term solutions. Document and communicate resolutions and best practices to enhance team knowledge and efficiency. Requirements Required Skills and Qualifications: Proven experience in a Solutions Architect, Technical Account Manager, or similar role, with a focus on enterprise clients. Strong knowledge of networking, system architecture, and enterprise-grade technologies. Experience with deploying and managing environments in enterprise settings. Familiarity with security concepts, including HSMs, PKI, and key management. Exceptional problem-solving skills and the ability to handle complex support scenarios. Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders. Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). Preferred Qualifications: Industry certifications such as CCNA or CISSP. Experience in managing enterprise accounts in industries with high-security requirements. Familiarity with ITIL or similar frameworks for incident and problem management. Benefits What We Offer: A collaborative and innovative work environment. Opportunities to work on cutting-edge technologies and solve challenging problems. Career growth and professional development opportunities. Competitive compensation and benefits package. Join us to help enterprise clients transform their environments and achieve their goals through innovative solutions and exceptional support. Health, dental, vision, life, and short/long-term disability insurance Paid vacation, holidays, and sick leave Competitive compensation and opportunities for advancement Retirement plan with employer contribution match Welcoming, family-style corporate culture uniquely suited to fast-paced, entrepreneurial, and motivated individuals One of San Antonio’s “Best Places to Work” for nine consecutive years This job is at our Bulverde, TX office

Bulverde, TX, USA

Workable

ML Ops Architect

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a motivated and passionate Machine Learning Engineers for our team. Job Description: As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you. Requirements What you'll do in the role: Implement scalable and reliable systems leveraging cloud-based architectures, technologies and platforms to handle model inference at scale. Deploy and manage machine learning & data pipelines in production environments. Work on containerization and orchestration solutions for model deployment. Participate in fast iteration cycles, adapting to evolving project requirements. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Leverage CICD best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment. Manage and monitor machine learning infrastructure, ensuring high availability and performance. Implement robust monitoring and logging solutions for tracking model performance and system health. Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure optimal model performance. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability in a timely and efficient manner. Implement security best practices for machine learning systems and ensure compliance with data protection and privacy regulations. Collaborate with platform engineers to effectively manage cloud compute resources for ML model deployment, monitoring, and performance optimization. Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes, tools, and best practices. Basic Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment with at least 4 years of experience programming with Python. At least 3 years of experience designing and building data-intensive solutions using distributed computing. At least 3 years of experience productionizing, monitoring, and maintaining models Must have skills: Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor, etc. Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform. Experience in developing and maintaining APIs (e.g.: REST). Experience specifying infrastructure and Infrastructure as a code (e.g.: Ansible, Terraform). Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance. Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, DataBricks, Github, MLFlow, Airflow). Expertise in Unix Shell scripting and dependency-driven job schedulers. Understanding of security and compliance requirements in ML infrastructure. Experience with visualization technologies (e.g.: RShiny, Streamlit, Python DASH, Tableau, PowerBI). Familiarity with data privacy standards, methodologies, and best practices. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Dallas, TX, USA

UiPath Automation Architect63499907852161123

Workable

UiPath Automation Architect

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you. We are seeking a talented and experienced Architect with expertise in Azure, UiPath, and RPA to join our dynamic team. As an Automation Architect, you will play a crucial role in designing, implementing, and optimizing solutions that leverage Azure cloud services, UiPath automation platform, and RPA technologies to drive digital transformation and enhance operational efficiency. Requirements Key Responsibilities: Collaborate with stakeholders to understand business requirements and design scalable architecture solutions using Azure services. Lead the implementation of UiPath automation projects, including process analysis, design, development, testing, and deployment. Utilize RPA knowledge to automate repetitive tasks and streamline business processes. Provide technical guidance and mentorship to development teams on best practices for Azure, UiPath, and RPA implementation. Conduct regular reviews of architecture designs to ensure alignment with industry standards and best practices. Stay current with emerging technologies in Azure, UiPath, and RPA to drive innovation within the organization. Qualifications: Bachelor's degree in Computer Science or related field; Master's degree preferred. Proven experience as an Architect working with Azure cloud services. Strong expertise in UiPath automation platform and RPA technologies. Excellent problem-solving skills and ability to think strategically about technology solutions. Strong communication skills with the ability to effectively collaborate with cross-functional teams. Relevant certifications in Azure, UiPath, or RPA are a plus. Join us in shaping the future of digital transformation through innovative solutions built on Azure, UiPath, and RPA technologies. If you are passionate about architecture design and have a strong technical background in these areas, we would love to hear from you. Apply now to be part of our dynamic team! Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Richardson, TX, USA