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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Solution Architect - AI & Engineering/Eaas - **Company:** Deloitte T.T.L. - **Location:** United States - **Experience:** Expert - **Salary:** $141,200.0 - $278,300.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Information Systems, Machine Learning, Software Engineering, Enterprise Application Integration, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, AWS Lambda, HybridCloud, Information Technology, Data Management, Api Gateway - **Published:** September 3, 2026 - **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=365011 ## About the Role * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to mentor and provide clear guidance to others, Required: * Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Electrical Engineering, or Mathematics * 8+ years of experience in software engineering, application architecture, or solution architecture * 5+ years of experience leading engineering teams, projects, or workstreams for enterprise technology implementations * Experience designing and implementing cloud-based solutions using Amazon Web Services, including Amazon Bedrock, AWS Lambda, Amazon SageMaker, Amazon API Gateway, or container-based services * Experience architecting generative artificial intelligence solutions using large language models, prompt orchestration, retrieval-augmented generation, vector databases, and enterprise integration patterns * Ability to travel 50%, on average, 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 employer sponsorship, now or at any time in the future. Preferred: * Master's degree in Computer Science, Software Engineering, Information Systems, Data Science, Electrical Engineering, or Mathematics * Experience delivering technology transformation programs in a consulting or professional services environment * Experience implementing Anthropic Claude through Amazon Bedrock or application programming interface integration in enterprise environments * Experience with model evaluation, observability, guardrails, and security controls for production artificial intelligence deployments * AWS certification such as AWS Certified Solutions Architect, AWS Certified AI Practitioner, or AWS Certified Machine Learning Engineer * Experience presenting architecture recommendations, delivery status, and technical tradeoffs to executive stakeholders ## Description Join Deloitte's AI & Engineering practice and help architect, build, and scale technology solutions that transform mission-critical business operations. In this role, you will help clients modernize platforms, accelerate digital innovation, and unlock value through engineering-led transformation across software, data, artificial intelligence, networks, and hybrid cloud. You'll work with cross-functional teams to shape solution strategy, guide implementation, and deliver business outcomes at scale using technologies including Amazon Web Services and generative artificial intelligence platforms., As a Lead Solution Architect you will be responsible for… * Leading solution architecture and engineering efforts for client engagements involving generative artificial intelligence, Amazon Web Services cloud services, data platforms, and enterprise application modernization * Translating business, functional, and technical requirements into scalable architecture designs, reference patterns, implementation roadmaps, and delivery plans * Guiding engineering teams through solution design, Amazon Bedrock integration, Anthropic Claude implementation, application programming interface strategy, security controls, and production deployment across complex enterprise environments * Collaborating with client stakeholders, product owners, data scientists, and delivery leaders to manage priorities, risks, dependencies, and quality throughout the delivery lifecycle * Driving engineering-led innovation by identifying opportunities to modernize platforms, operationalize artificial intelligence capabilities, improve operational performance, and accelerate digital product and platform outcomes, 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. ## Related Videos - [Server Side Serverless in Swift](https://www.wearedevelopers.com/videos/133-server-side-serverless-in-swift) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [20 billion requests a week: Upgrading Twilio's API gateway at scale](https://www.wearedevelopers.com/videos/100234-20-billion-requests-a-week-upgrading-twilio-s-api-gateway-at-scale) - [From 0 to 1.000.000: How to build a serverless raffle service for hyperscale](https://www.wearedevelopers.com/videos/793-from-0-to-1-000-000-how-to-build-a-serverless-raffle-service-for-hyperscale) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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