GenAI Engineer

Work You’ll Do

• Collaborate with data architects to integrate sources with AI models via AWS Bedrock and other providers (e.g., OpenAI, Cohere, Gemini).
• Evaluate/select Foundational Models (FMs) and develop/training GenAI enhancements.
• Implement RAG architectures by linking retrieval to generative models on cloud platforms.
• Perform data analysis/feature engineering using AWS services.
• Design, implement, and improve model guardrails and performance.
• Deliver mission‑aligned chatbots, knowledge bases, MCPs, and agentic workflows.
• Identify reusable components, opportunities for automation, and platform unification.
• Develop APIs and interfaces for secure, responsive, user‑friendly applications.
• Support platform tenants with troubleshooting/design of GenAI components.
• Conduct code reviews, uphold code quality, and comply with Responsible AI requirements/documentation.
• Develop and optimize prompts for LLM applications ensuring quality and relevance.
• Strategize prompt use (zero/few/one‑shot, role, chain‑of‑thought) for targeted cases.
• Work with engineers to incorporate advanced prompt practices into system design.
• Continuously improve prompts using new trends/data for optimal model performance.
• Address ethical use and mitigate bias in prompt generation.
• Set up robust benchmarking and evaluation for prompt engineering techniques.
• Stay up to date on AI and prompt engineering advances to ensure cutting‑edge solutions.

• 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 work streams.
• 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.

• Active High Risk Public Trust or Top Secret security clearance required.
• 1+ year of experience in GenAI solutioning or development.
• 1+ year of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar.
• 1+ year of experience using Python for data cleaning, exploratory analysis, statistics, or visualization.
• 1+ year of experience in object‑oriented programming such as C++, Java, or Python.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

• Experience with Git, CI/CD, and programmatic cloud service integration (e.g., AWS).
• Knowledge of machine learning/statistical techniques for structured and unstructured data.
• Experience extracting features from diverse data formats (JSON, XML, raw text, specific industry encodings, graph data).
• Familiarity or experience with Python libraries/pkgs such as pandas, Num Py, Geo Pandas, requests, urllib3, Matplotlib, plotly, scikit‑learn, sciPy, OpenCV, GDAL, Keras, PyTorch, Tensor Flow, NLTK, spaCy, and Gensim.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at

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.