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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Deloitte T.T.L. - **Location:** Detroit, MI, United States - **Experience:** Expert - **Salary:** $128,000.0 - $252,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Command-Line Interface, Cloud Computing, Configuration Management, Cyber Security, Nvidia CUDA, Information Systems, Computer Programming, Databases, Computer Literacy, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Security, Database Development, Software Design Patterns, Linux, DevOps, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Unix Shell, Machine Learning, Neo4j, NoSQL, Open Source Technology, OpenCL, Windows PowerShell, Systems Development Life Cycle, Cloud Services, Ansible, Software Engineering, SQL Databases, System Software, Unstructured Data, Scripting, Graphics Processing Unit (GPU), High Performance Computing, System Availability, Kubernetes, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, TensorRT, Puppet, Terraform, Data Pipelines, Docker, Jenkins - **Published:** August 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ai-engineer-sfl-scientific-detroit-mi--6a4719ff-2d12-469b-8fca-78682129ff38 ## 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 provide clear guidance to others, * Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience * 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment * 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents) * 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc. * 2+ years of experience managing teams in technical delivery and delivering complex and critical projects * 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins * 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j) * 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. * Live within commuting distance to one of Deloitte's consulting offices * Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available Preferred: * Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field * AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect) * 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack, Algorithms, Amazon Web Services (AWS), Ansible, Architectural Services, Artificial Intelligence (AI), Automation, Best Practices, Business Transformation, CUDA (Compute Unified Device Architecture), Chef (Configuration Management), Cloud Computing, Coaching, Communication Skills, Computer Science, Computer Skills, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, Customer Support/Service, Data Management, Data Science, Database Extract Transform and Load (ETL), Database Programming, Database Technology, Delivery Management, Design Patterns Programming Methodologies, Detail Oriented, DevOps, Docker, Documentation, Emerging Technology, Establish Priorities, Financial Modeling, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), High Availability, Incentive Programs, Information Technology & Information Systems, Information/Data Security (InfoSec), Interpersonal Skills, Jenkins, Leadership, Linux Programming, Machine Learning, Mentoring, Mergers and Acquisitions, Microsoft Windows Azure, Multitasking, Neo4j, NoSQL, Open Source, OpenCL, Physics, Presentation/Verbal Skills, Problem Solving Skills, Process Improvement, Production Support, Professional Services, Project/Program Management, Proof of Concept, Puppet (Configuration Management), Python Programming/Scripting Language, Real Estate, SQL (Structured Query Language), Sales Management, Scalable System Development, Software Engineering, Structured Data, Sustainability, System Operations, Team Lead/Manager, Technical Delivery, Technical Leadership, Technical Strategy, Thought Leadership, Time Management, Unix Shell Programming, Unstructured Data, Use Cases, Willing to Travel, Windows PowerShell, Writing Skills ## Description * Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications * Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies * Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases * Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives * Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem * Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions * Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization * Mentor, motivate, and coach junior members on technical best practices and inspire professional development, Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses. ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [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) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)