Overview
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 10 / 15 / 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.
The Team and Qualifications
A Specialist Leader serves as a senior advisor for the firm and for our clients by leveraging deep subject matter knowledge to manage and deliver large, complex client engagements. They identify, design, and implement creative business and technology solutions for large cross-industry clients. They focus primarily on client service delivery but also drive sales activities and thought leadership in their area of expertise.
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.
Across life sciences you'll find innovators who are developing therapies, treatments, devices, and cures to meet society's most pressing health challenges and deliver wellness for all. We are Deloitte\'s Life Sciences practice, delivering the business of science and health.
Qualifications
Required :
10+ years of experience delivering AI / ML solutions, with at least 2 years focused on Generative AI, Agentic AI or multi-agent systems5+ years of hands-on experience building AI / ML solutions using Python2+ years of direct experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflowsto include :
Azure : AI Foundry; OpenAI Service; Cognitive Search & Vector DBs; Cognitive Services; Entra ID & Key VaultAWS : Amazon Bedrock; Knowledge bases; Guardrails; Lambda, ECR, EC2; Q Business & Q Developer; Cognito; IAM, Secrets Manager, and KMSGCP : Vertex AI; Gemini API; BigQuery; Cloud Run / Functions, GKE4+ years of experience leading, managing and delivering complex AI Solutions engagementsBachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related fieldAbility to travel up to 50% on average, based on the work and clients servedLimited immigration sponsorship may be availablePreferred :
Prior consulting experience in client-facing delivery rolesExperience creating collateral for client workshops and interactive sessionsStrong presentation skills for varied audiencesExperience driving sales cycles and leading pursuit teamsExperience building multi-agent systemsCertifications : Azure and AWS credentials; other relevant certificationsExperience with LLM prompt engineering, fine-tuning, and RAG architectureExperience with MLOps / AIOps, CI / CD, and cloud-native developmentExperience with API design, microservices, and event-driven systemsCompensation and Application Info
The wage range for this role includes factors such as skill, experience, training, and certifications. The current estimate is from $167,000 to $307,500, with eligibility for a discretionary annual incentive program based on performance.
Information for applicants with a need for accommodation : Deloitte's assistance for disabled applicants : https : / / www2.deloitte.com / us / en / pages / careers / articles / join-deloitte-assistance-for-disabled-applicants.html
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