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 12/20/2025
Work you’ll do
- Architect and implement end-to-end agentic systems that combine LLMs, multi-agent orchestration, enterprise data pipelines, and business applications — delivering production-grade reliability, scalability, and performance.
- Engineer core solution components directly, including data integration layers, retrieval and knowledge services, agent orchestration logic, and guardrails for safety, compliance, and resiliency.
- Bring the Convergence Architecture to life — weaving together data, knowledge, models, guardrails, infra, and functional workflows into unified solutions that operate seamlessly in enterprise contexts.
- Design and build for enterprise-grade operations, embedding observability, monitoring, cost management, and lifecycle tooling to ensure deployed AI systems are sustainable and trustworthy in mission-critical environments.
- Balance architecture with execution, setting solution direction while building and owning key elements — particularly those that define scalability, robustness, and enterprise readiness.
- Continuously evaluate and integrate emerging technologies, advancing frameworks for planning, memory, and multi-agent collaboration, and institutionalizing best practices into reusable architectures.
- Collaborate across functional and technical stakeholders, translating complex business challenges into AI-native solution designs that deliver measurable and durable impact.
A Specialist Master at Deloitte has deep expertise in a subject area and works within an engagement team to identify the organization’s needs, defines the business or technology architecture, plans how large projects will be delivered, oversees the solution design and implementation, manages the progress of the team and activities, and confirms work products meet our firm’s and the client’s quality standards. Additionally, Specialist Masters are expected to mentor/coach staff, contribute to sales activities, and develop eminence through writing papers and/or presenting at conferences. A summary of the expectations is provided below:
- Client Service: Advise client on leading practices and technology/industry trends, application/integration architecture, solution design, and implementation leading practices. Build lasting relationships through day-to-day interactions with key client managers and staff.
- Delivery: Bring the functional/technical experience and knowledge to deliver solutions which allow clients to achieve their business strategy. Present technical alternatives and supporting recommendations aligned with the client’s business and technology requirements. Contribute to project estimating, planning, contracting and staffing activities. Manage technical and/or functional teams to design, build, test and implement enterprise applications. Anticipate, raise, and resolve issues which pose risk to the project. Monitor progress and quality. Track and report status.
- Business Development: Participate in sales pursuits as a pursuit team member or subject matter advisor. Participate in the oral presentation of the proposal to highlight relevant experiences that position Deloitte as the preferred supplier. Develop and maintain relationships with client stakeholders to establish and maintain our status as a trusted advisor.
- People Development: Perform role of mentor and coach to help others achieve their career objectives. Actively participate in recruiting and onboarding activities. Develop staffing plans and screen candidates for positions on projects. Provide leadership and support for staff on projects and in local offices. Perform regular check-ins with team members and people for which you coach as a part of the performance management process.
- Eminence: Contribute to go-to-market and internal initiatives which drive growth of the practice, drive efficiency and profitability, improve quality, and increase the knowledge of our staff. Co-author articles, whitepapers, or presentations. Speak at conferences, universities, or other forums to promote Deloitte’s brand.
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 and/or multi-agent systems
- 4+ years of hands-on experience building AI/ML solutions using Python
- At least 6 months' 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/orAWS: 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/orGCP: 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.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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