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Deloitte · 2 weeks ago

AI & Data Analyst

San Francisco, California, United States

Full-time

Hybrid

Entry, Mid Level

$85K/yr - $141K/yr

1+ years exp

Deloitte is a leading consulting firm that is seeking an AI & Data Analyst to join their AI & Engineering team. In this role, you will partner with clients to solve complex business challenges through technology-driven change, focusing on digital transformation and leveraging advanced data and AI platforms.

AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management

Growth Opportunities

No H1B

Responsibilities

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

Qualification

PythonLLM evaluationCloud platformsAI deploymentMLOpsData engineeringPipeline automationCommunicationCollaboration

Required

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

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