Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/30/2025.

Work You’ll Do

As a Manager you will lead and deliver engagements, or components of large, complex engagements. These projects identify, design, and implement creative business and technology solutions for clients. Using direct management and hands-on delivery, you will craft solutions for clients. You will guide and oversee your team’s deliverables and recommendations. You will also manage daily stakeholder relationships. Managers contribute to Deloitte’s thought leadership. Managers play a key role in business development activities, including developing and presenting proposals. Managers are also responsible for developing junior staff.

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.

Qualifications

Required:

• 6+ years of experience delivering AI/ML solutions, with at least 2 year focused on Generative AI, Agentic AI or multi-agent systems

• 4+ years of hands-on experience building AI/ML solutions using Python

• 2+ 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, managing and delivering complex AI Solutions engagements
• 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
• Demonstrated experience with the sales cycle by helping frame client opportunities. Participated in the pursuit team by creating proposal content for client discussions
• 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

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 $130,800 to $241,000.