Deloitte's AI & Engineering team is looking to transform technology platforms, drive innovation, and help clients achieve success by improving financial performance, accelerating digital ventures, and fueling growth through innovation. They aim to build, deploy, and operate integrated sector solutions powered by engineering for business advantage, transforming mission-critical operations and modernizing technology and data platforms.
Requirements
- 4+ years of experience delivering AI/ML solutions, with at least 1 year focused on Generative AI, Agentic AI or multi-agent systems
- 2+ years of hands-on experience building AI/ML solutions using Python
- 1+ years of direct experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) to include:
- Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision, speech, and language APIs for agent capabilities); Entra ID & Key Vault (identity, security, compliance for AI workloads);
- AWS:Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines for enterprise-grade agentic solutions; Lambda, ECR and EC2 based deployment; Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito (identity, security, compliance for AI workloads); IAM, Secrets Manager, and KMS;
- GCP:Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent deployment)
- Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation) architecture
Responsibilities
- Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies
- Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.
- Creation and development of project scope and schedule.
- Plan and assign resources to associated tasks and deliverables
- Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
- Managing changes to project scope, project schedule, and project costs to keep the project plan accurate, updated, as defined in the change management plan
- Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
Other
- Managing day-to-day interactions with executive clients, stakeholders, and sponsors
- 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
