Senior Genai Engineer

Senior GenAI Engineer role focused on integrating AI models with cloud platforms, developing GenAI enhancements, implementing RAG, designing guardrails, delivering agentic workflows, and optimizing prompt engineering for client success within Deloitte's Government & Public Services practice. Requires experience with GenAI concepts, Python, and object-oriented programming, along with a security clearance.

What you'd actually do

  1. Collaborate with data architects to integrate sources with AI models via AWS Bedrock and other providers (e.g., OpenAI, Cohere, Gemini).
  2. Evaluate/select Foundational Models (FMs) and develop/training GenAI enhancements.
  3. Implement RAG architectures by linking retrieval to generative models on cloud platforms.
  4. Perform data analysis/feature engineering using AWS services.
  5. Design, implement, and improve model guardrails and performance.

Skills

Required

  • GenAI solutioning
  • GenAI concepts
  • Agentic Workflows
  • Knowledge Bases
  • Vector Stores
  • Prompt Libraries
  • Python
  • data cleaning
  • exploratory analysis
  • statistics
  • visualization
  • object-oriented programming
  • AWS Bedrock
  • OpenAI
  • Cohere
  • Gemini
  • RAG
  • model guardrails
  • APIs
  • Responsible AI
  • prompt engineering
  • LLM applications

Nice to have

  • Git
  • CI/CD
  • programmatic cloud service integration
  • machine learning
  • statistical techniques
  • structured data
  • unstructured data
  • JSON
  • XML
  • raw text
  • graph data
  • pandas
  • NumPy
  • GeoPandas
  • requests
  • urllib3
  • Matplotlib
  • plotly
  • scikit-learn
  • sciPy
  • OpenCV
  • GDAL
  • Keras
  • PyTorch
  • TensorFlow
  • NLTK
  • spaCy
  • Gensim

What the JD emphasized

  • Active High Risk Public Trust or Top Secret security clearance required
  • 2+ years of experience in GenAI solutioning or development
  • 2+ years of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar
  • 5+ years of experience using Python for data cleaning, exploratory analysis, statistics, or visualization.
  • 5+ years of experience in object-oriented programming such as C++, Java, or Python

Other signals

  • GenAI solutioning
  • GenAI concepts
  • RAG architectures
  • model guardrails
  • agentic workflows
  • prompt engineering