Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering 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. The TeamOur AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Recruiting for this role ends on 4/1/2026. Work You'll Do: As an AI & Data Analyst, you'll partner with clients to solve complex business challenges and deliver impactful, technology-driven change. You'll guide organizations through their digital transformation journeys, utilizing the latest innovations while supporting a variety of high-impact initiatives, including: \\+ Evaluate, validate, and optimize Large Language Models (LLMs) in client and internal use cases. \\+ Develop software components, automation pipelines, and integrations leveraging your proficiency in Python. \\+ Build scalable data solutions on leading cloud platforms, enhancing automation within AI and data engineering projects. \\+ Collaborate across teams-product managers, data scientists, engineers, and business stakeholders-to ensure solutions align with client objectives. \\+ Apply proven practices developed in fast-paced, start-up environments to help Deloitte's clients accelerate transformation. \\+ Continuously expand your technical and domain expertise in AI, data, and cloud technologies. \\+ Communicate updates, progress, and outcomes effectively to cross-functional peers and management. Required Qualifications: \\+ Minimum of 18 months of experience in Python for data analysis and model development. \\+ 1+ years of experience in LLM (Large Language Model) evaluation. \\+ Familiarity with cloud platforms (e.g., AWS, Azure, GCP), data engineering, and pipeline automation \\+ Bachelor's degree in Computer Science, Artificial Intelligence, a related field, or equivalent work experience \\+ Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future \\+ Flexibility to travel: Ability to travel up to 50%, based on client and sector needs Preferred Qualifications: \\+ 2+ years of experience in AI deployment or applied Machine Learning. \\+ 6 months + experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) \\+ Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Data Science, or related field. \\+ Experience working in regulated industries with an understanding of security, compliance, and responsible AI practices. \\+ Hands-on experience with LLMs, vector databases, or generative AI APIs (e.g., OpenAI, Claude, Cohere). \\+ Knowledge of MLOps, CI/CD, and model deployment strategies. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,600 to $141,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: . ' All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

The role requires a minimum of 18 months of experience in Python for data analysis and model development, along with over one year of experience in Large Language Model evaluation. Familiarity with cloud platforms such as AWS, Azure, and GCP, as well as data engineering and pipeline automation, is also necessary. A Bachelor's degree in Computer Science, Artificial Intelligence, or a related field, or equivalent work experience, is required. Candidates must be legally authorized to work in the United States without employer sponsorship. Preferred qualifications include two or more years of experience in AI deployment or applied Machine Learning, and six months or more of experience developing agentic AI systems. An advanced degree in a relevant field is also considered a preferred qualification.