experienced ai engineer

As an experienced AI Engineer,  you will play a key role in designing, building and delivering advanced AI and Generative AI (GenAI) solutions across industries. You will:

• Lead the architecture, development, and deployment of end - to - end AI systems - from data ingestion and model training to productionization and monitoring;

• Evaluate, fine - tune and optimize Machine Learning and Large Language Models (LLMs) for domain - and client - specific applications;

• Design and impelement Retrieval  Augmented Generation (RAG), agentic, and multi - agent AI workflows that enhance contextual understanding, reasoning, and automation.

• Build and orchestrate autonomous AI agents using frameworks such as LangGraph, CrewAI, or AutoGen, integrating them into scalable enterprise ecosystems;

• Integrate AI models into enterprise systems, ensuring scalability, performance, and security across cloud and on-prem environments;

• Collaborate cross - functionally with business, data, and technology teams to translate business needs into robust technical solutions;

• Contribute to AI governance and Responsible AI practices, ensuring ethical, explainable, and compliant model deployments;

• Guide and mentor junior engineers, fostering innovation, technical excellence, and continuous learning;

• Engage with client leadership to identify AI opportunities, define strategic roadmaps, and drive transformation initiatives; 

• Develop AI accelerators, reusable assets, and best practices within Deloitte's community.

#WinningRequirements

To qualify for the role you should have:

• Bachelor’s and/or Master's degree in Computer Science, Engineering, or a related STEM field; 

• 5+ years of experience in designing, building, and deploying AI/ML solutions, ideally within a consulting or large-scale enterprise environments;

• Proficiency in Python and experience with leading frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit - learn;

• Proven expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI applications;

• Hands - on experience with vector databases (e.g., FAISS, Pinecone, Azure AI Search) and retrieval architectures (RAG, hybrid search);

• Familiarity with LangChain,LlamaIndex, and LangGraph for building agentic AI pipelines and orchestrating autonomous agents;

• Strong experience with cloud platforms (Azure, AWS, or GCP) and MLOps practices (CI/CD, model monitoring, and versioning);

• Solid understanding of data pipelines, API development, and scalable architectures using Docker and Kubernetes;

• Exposure to responsible AI principles, model interpretability, bias mitigation, and governance frameworks;

• Experience leading technical teams, ensuring quality delivery and effective project execution;

• Ability to translate business objectives into technical strategies and communicate effectively with both technical and non - technical stakeholders;

• Strong client engagement, presentation, and stakeholder management skills.

#AboutTechnology&Transformation 

Six core competency areas make up our Technology & Transformation service line:

• Cyber;

• Engineering, AI & Data;

• Enterprise, Technology & Performance;

• Finance Transformation;

• Deloitte Digital;

• Human Capital.