Manager - GenAI Full Stack Developer

Deloitte • Stamford, CT • 3h ago

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026

Work you'll do

Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.

Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.

Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.

Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.

Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.

Oversee model deployment and production operations (monitoring, observability, incident response, iteration).

Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.

Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.

Evaluate emerging GenAI/agent frameworks and cloud services; proto@type and recommend fit-for-purpose approaches.

The teamOur 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.

QualificationsRequired:

Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.

6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.

Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.

Required technical skills (must have):

GenAI / NLP / Agentic AI

Python programming

Natural Language Processing (NLP)

Agentic AI, including LangChain, LangGraph, and LlamaIndex

RAG (Retrieval-Augmented Generation)

Prompt engineering

Vector databases (design/usage/integration)

Model build + deployment

GenAI model build: training, fine-tuning, validation

Model deployment (serving patterns, monitoring, iteration)

Containers (e.g., Docker)

Data engineering + APIs

ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)

FastAPI (or equivalent) to build backend services

API development and integration (RESTful services)

Full stack engineering

JavaScript/TypeScript

HTML/CSS plus SASS/LESS

UI/UX design principles

Front-end frameworks: React, Angular, or Vue

Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)

Vertex AI experience

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:

Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).

Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

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