Agentic Ai, AI & Data Science Engineer

Deloitte is seeking an AI and Data Science Engineer to join their AI & Engineering team, focusing on transforming technology platforms and driving innovation for clients. The role involves managing client engagements, identifying business requirements, and implementing technology and business solutions. The engineer will work on agentic AI systems, including orchestration, tool integration, and autonomous decision-making workflows, leveraging cloud platforms like Azure, AWS, or GCP.

What you'd actually do

  1. Managing day-to-day interactions with executive clients, stakeholders, and sponsors
  2. Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies
  3. Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
  4. Creation and development of project scope and schedule. Plan and assign resources to associated tasks and deliverables
  5. Monitoring progress of the project, identify, and quantify variances, perform required corrective actions

Skills

Required

  • Python
  • Generative AI
  • Agentic AI
  • multi-agent systems
  • agent orchestration
  • tool integration
  • autonomous decision-making workflows
  • LangChain
  • Semantic Kernel
  • AutoGen
  • Strands
  • CrewAI
  • LangGraph
  • Azure AI Foundry
  • OpenAI Service
  • Azure Cognitive Search
  • Azure Vector DBs
  • Azure Cognitive Services
  • Azure Entra ID
  • Azure Key Vault
  • AWS Amazon Bedrock
  • AWS Knowledge bases
  • AWS Guardrails
  • AWS Prompt Flows
  • AWS RAG pipelines
  • AWS Lambda
  • AWS ECR
  • AWS EC2
  • AWS Amazon Q Business
  • AWS Amazon Q Developer
  • AWS Cognito
  • AWS IAM
  • AWS Secrets Manager
  • AWS KMS
  • GCP Vertex AI
  • GCP Gemini API
  • GCP Google AI Studio
  • GCP BigQuery
  • GCP Cloud Run
  • GCP Cloud Functions
  • GCP GKE

Nice to have

  • Computer Science
  • Engineering
  • Data Science
  • AI

What the JD emphasized

  • 4+ years of experience delivering AI/ML solutions
  • at least 1 year focused on Generative AI, Agentic AI or multi-agent systems
  • 1+ years of direct experience developing agentic AI systems
  • 1+ years experience leading project workstreams/engagements

Other signals

  • agent orchestration
  • tool integration
  • autonomous decision-making workflows
  • Generative AI
  • multi-agent systems