Agentic AI, AI & Data Senior Consultant
Role details
Job location
Tech stack
Job description
You will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
Working within an engagement team, your responsibilities include, among others:
- Managing day-to-day interactions with executive clients, stakeholders, and sponsors
- 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. Your background in technology will provide the foundation to manage these streams but also understand the technology
- 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
- Developing and maintaining communication with key project stakeholders and decision makers
The team
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Requirements
Required:
- 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);
and/or 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; and/or 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)
- 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
Preferred:
- Prior consulting experience in client-facing delivery roles
- Experience in creating critical collaterals for client workshops and customer interactive sessions
- Presentation skills with a high degree of comfort with both large and small audiences
- Experience building multi-agent systems (task delegation, coordination, and autonomous decision-making)
- Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect
- Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation) architecture
- Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud-native application development
- Experience with API design, microservices architecture, and event-driven systems
Benefits & conditions
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $208,300.
