Innovation and Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.
It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you. I&T partners with the network such as ZORA AI, AI&E, Converge, AIOPs.D, IOps, to build hybrid businesses, enterprise platforms and incubate emerging practices to future proof business and help clients get there, first.
I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.
The Team:
At Deloitte Innovation and Technology is one of the key drivers for our successful business growth. We are fully committed to deliver best class products and solution strategies. One such product is ZORA AI by Deloitte which is a AgenticAI platform that offers a suite of ready-to-deploy agents that perceive, reason and act, autonomously, executing complex business functions with speed and accuracy to help clients augment their workforce, boost productivity and efficiency, and drive new ways of working.
We are looking for a Consultant / Agent Developer with 4+ years of strong experience using machine learning techniques with a minimum of 3+ years of experience in building ML/AI products to address challenging business problems.
Work you'll Do:
· Understand the business use case, conduct preliminary analysis and propose potential solutions using statistical and Agentic AI / ML techniques to solve the client’s problems.
- Perform feasibility analysis of proposed solutions through data exploration and building proof of concept using Agentic AI/ ML etc.
- Supervise and train a team of consultant/ senior consultants in building GenAI/ Agentic AI Platform.
- Work in a highly collaborative atmosphere of consultant/ senior consultants and team leaders from different geographic locations.
- Mentor team members and guide them as a technical and business SME and help them grow in their career.
- Serve as a mentor for career navigation and skills development for consultant/ senior consultants in the broader organization who are not direct reports on your immediate team.
- Update your knowledge base with AI/ML advance
Key Responsibilities:
- Product Development: Work on the ideation, incubation, and scaling of innovative AI/ML products, ensuring alignment with business goals and client needs.
- Prompt Engineering and Optimization: Develop and refine prompt engineering techniques to enhance model performance and user interaction.
- GenAI and Agent Architecture: Design and implement Generative AI applications using both open-source and closed-source Large Language Models (LLMs), focusing on agent architecture and integration.
- Collaboration: Work in a highly collaborative atmosphere with data scientists and team leaders from different geographic locations, providing expert reviews and guidance.
Qualification & required skills:
· Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python.
· Understanding and working knowledge of Agentic AI, Agent Development Frameworks like LangGraph/ LangChain.
· Development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, Claude, Cohere etc.) Large Language Models (LLMS).
· Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information.
· Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs.
- RAG and Guardrails: Implement Retrieval-Augmented Generation techniques and establish guardrails to ensure the reliability and safety of AI models.
- Basic knowledge of Pre-Training / Finetuning
- Basic knowledge of MCP and A2A
- Minimum of 3-4 years of programming in Python
- Knowledge of RDBMS – Postgress / MySQL and NoSQL Databases.
· Provide expert reviews for all projects within the assigned subject.
· Ability to communicate with cross functional/competencies teams.
· Strong communication and critical thinking skills.
- Should have Bachelor’s degree or greater in Engineering/Computer Science/Statistics/Mathematics or other quantitative field
Good to have:
· Cloud knowledge (AWS/ GCP or Azure).
· Deployment Knowledge – docker and Kubernetes.