Associate AI Solution Architect
$122k - $240.5kDeloitte LLP
Solution and AI Architect - AI & Engineering/EaaS Associate Architect 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. Recruiting for this role ends on 10/15/2026. Work you'll do:
- 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
- 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
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