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# Associate AI Solution Architect

- **Company:** Deloitte T.T.L.
- **Location:** Austin, TX, United States
- **Salary:** $122,000.0 - $240,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Architectural Patterns, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Delivery, Github, JQuery, Python (Programming Language), Machine Learning, Model View Controller (MVC), Cloud Services, Software Deployment, Software Engineering, Data Streaming, Google Cloud, Large Language Models, Generative AI, HybridCloud, Build Server, Data Layers, Kubernetes, Information Technology, Data Management, Devsecops, Serverless Computing, Docker, Jenkins
- **Published:** September 4, 2026
- **Apply:** https://www.austinjobsite.com/job.asp?id=3377320405&tx=KJ909PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in computer science or engineering, or a related technical field with a strong foundation in development (Java or .NET) with early experience as a full stack developer.
 * 4+ years' experience as a Solution Architect, with a strong focus on application development and scaling solutions for production environments.
 * 4+ years providing hands-on technical assistance to the delivery team, reviewing designs and code for architectural fit, monitoring engineers and serving as the primary technical liaison between business stakeholders and engineering.
 * 4+ years working on large-scale engagements as a Solution Architect in industry or in consulting.
 * Hands-on experience in Java, Python, or .NET.
 * Experience managing small on and offshore teams.
 * 1+ years' experience designing and delivering production-grade AI solutions such as LLM applications, RAG systems, agentic workflows, intelligent automation or ML-enabled products.
 * Hands-on software engineering capability in Python and/or a modern full-stack capability.
 * Experience owning the end-to-end solution architecture which includes defining integration patterns, data flows, and technical design decisions across systems.
 * Experience driving the technical delivery on-site (not remotely), translating business requirements into detailed technical designs, sequencing work across integration and data layers, ensuring the solution is built to spec from design to deployment.
 * Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
 * Familiarity with various hyperscaler tools and services.
 * Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
 * Experience working closely with the functional and testing teams to understand their requirements gauging the impact to the application architecture.
 * Experience leading the configuration and change management teams responsible for application deployments including the coordination of database changes and other necessary application configurations.
 * 3+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions or Jenkins.
 * 1+ years' experience working as an AI Architect on the job with experience using AWS
 * Ability to travel up to 50% nationally based on the work you do and the clients and industries/sectors you serve.
 * Must be legally authorized to work in the United States without the need for sponsorship, now or any time in the future., * Experience with architecture design patterns such as MVP or MVC, Gang of Four, etc.
 * Experience with JQuery, JavaScript and common JavaScript Patterns
 * Experience or passion for implementing cloud solutions on Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform
 * Experience with Anthropic Claude, OpenAI-compatible APIs, enterprise
 * Master's degree in computer science or engineering.
 * Hands-on experience in Java, Python or .NET

## Description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation., * Architect and Design: assist in the design and development of enterprise-grade application architecture applications and platforms, with a focus on scaling for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.

 * Assist in the design and deployment of applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
 * Assist in the management and delivery components of client engagements that identify, design, and implement technology and creative business solutions for large companies.
 * Responsibilities include, among others, managing small teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.
 * Assisting clients with application architecture design, assessment and optimization including definition, documentation and implementation of new application architectures
 * Review and evaluation of key attributes of existing application architectures
 * Assist in the recommendation of improvements to existing Application Architectures


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