Senior Consultant - GenAI Full Stack Developer
Risk, Compliance, and Governance | Risk Technology and Analytics
Same job available in 42 locations
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Position Summary
Deloitte’s Audit & Assurance professionals help organizations navigate business risks and opportunities—across financial, operational, information technology (IT), business, and regulatory areas—to build resilience and accelerate performance. In this role, you’ll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) multi-agent orchestration, real-time AI task pipelines, and knowledge graph–powered reasoning—that are scalable, secure, and aligned to enterprise governance expectations.
Recruiting for this role ends on June 8th, 2026.
Work you’ll do
Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
Design, build, test, and deploy GenAI application platforms—comprising Python/FastAPI AI microservices, Node.js backend APIs, and React frontends—using asynchronous task orchestration (Redis pub/sub, Server-Sent Events) to deliver real-time AI workflows at enterprise scale; ensure non-functional requirements (security, performance, reliability, observability) are met.
Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
Architect agentic AI workflows using LangChain and LangGraph (tool-using agents, multi-step orchestration, parallel multi-agent patterns); integrate LLM pipelines with knowledge graphs (Neo4j) for structured reasoning over audit and compliance data; implement human-in-the-loop checkpoints, auditability controls, and enterprise governance guardrails.
Evaluate and integrate frontier LLMs (Gemini 2.5 Pro/Flash, Claude, GPT-4o) and specialized models; define LLM selection criteria, cost/latency tradeoffs, and quality benchmarks; run prompt iteration cycles and structured output evaluation to meet acceptance criteria across audit-specific use cases.
Own API and integration service design using FastAPI and Express; deliver scalable RESTful interfaces and streaming endpoints (Server-Sent Events); coordinate integration with downstream/upstream enterprise systems, Microsoft Azure AD identity and access management (IAM), and AI task monitoring pipelines.
Design and deliver data engineering pipelines to curate governed datasets for GenAI solutions—including document parsing, structured extraction, and embedding preparation; partner with data governance and risk teams on lineage, access controls, and data quality standards for AI model inputs.
Operationalize GenAI application deployments using containerized patterns (Docker, Kubernetes, Helm); implement monitoring and observability for AI workloads (performance, cost, model drift, output quality signals) and drive continuous improvement through incident learnings and release management.
Advise on emerging GenAI models, frameworks, and toolkits (e.g., Gemini 2.5, Claude, LangGraph, Milvus, Neo4j); prototype and recommend options with explicit tradeoffs across audit value, delivery effort, risk, compliance, and total cost of ownership (TCO); guide responsible AI adoption within regulated environments.
Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications Required:
- Bachelor’s degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Milvus, Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Experience integrating multiple LLM provider APIs (OpenAI, Anthropic, Google GenAI/Gemini) using their respective Python SDKs; ability to swap and benchmark models across providers.
- Experience with asynchronous messaging and real-time data patterns (Redis pub/sub, Server-Sent Events, WebSockets) for AI task orchestration and streaming output delivery.
- Experience with cloud AI/ML services with a focus on GCP (Vertex AI, GKE, Cloud Storage, Filestore); familiarity with Azure and AWS AI/ML services a plus.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
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 $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
**Recruiting tips**
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**Benefits**
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
**Our people and culture**
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
**Professional development**
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see [www.deloitte.com/us/about](http://www.deloitte.com/us/about) for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. **Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers**
Requisition code: 352817
Job ID 352817