Data & AI - AI Engineer
Data & AI - AI Engineer
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Job Description
Job Description:
Job Description Lead AI Engineer / Architect (LLMs RAG RL Azure AI)
Role Overview
We are seeking an experienced Lead AI Engineer / Architect with expertise in transformer-based architectures fine-tuning reinforcement learning and agent-based AI systems. The ideal candidate will have 10 years of IT experience with a strong focus on LLMs applied machine learning and cloud AI platforms. This role involves designing and deploying enterprise-grade AI solutions leveraging LLMs (GPT LLaMA Mistral Claude) retrieval-augmented generation (RAG) and reinforcement learning techniques while providing technical leadership to engineering teams.
Key Responsibilities
Architect and implement solutions using large language models (GPT LLaMA Mistral Claude) for enterprise use cases.
Design and optimize retrieval-augmented generation (RAG) pipelines for knowledge-grounded AI applications.
Develop and deploy fine-tuned/custom models for domain-specific tasks.
Agent Frameworks & Orchestration
Build intelligent AI agents using frameworks such as LangChain LlamaIndex CrewAI and AutoGen.
Integrate LLM agents with external APIs databases and enterprise systems.
Define prompt engineering strategies to optimize reliability interpretability and task success rates.
Reinforcement Learning & Optimization
Apply Q-learning policy gradient methods and RLlib for agent training and continuous learning.
Experiment with RLHF (Reinforcement Learning with Human Feedback) for fine-tuning LLMs.
Optimize inference and training pipelines for performance and cost efficiency.
Leadership & Collaboration
Play the role of Tech Lead / AI Architect guiding engineers and data scientists on AI/LLM best practices.
Collaborate with product teams business stakeholders and cloud engineers to deliver AI-powered solutions at scale.
Mentor junior engineers in transformer models prompt engineering and reinforcement learning.
Cloud & MLOps
Deploy AI models using Azure AI Services Azure Machine Learning and CI/CD pipelines.
Implement MLOps frameworks for model versioning monitoring and continuous improvement.
Ensure governance security and compliance in AI deployments.
Required Skills & Qualifications
10 years of IT experience with relevant experience in AI/LLMs and reinforcement learning.
Strong expertise in:
Transformer architectures (GPT LLaMA Mistral Claude)
Fine-tuning prompt engineering RAG
Agent frameworks (LangChain LlamaIndex CrewAI AutoGen)
Reinforcement learning (Q-learning policy gradients RLlib)
Hands-on with Python PyTorch/TensorFlow and ML frameworks.
Experience with Azure AI (Azure AI Engineer Associate certified).
Proven ability to lead mentor and deliver enterprise AI solutions.
Preferred Skills
Familiarity with vector databases (Pinecone Weaviate FAISS Milvus).
Knowledge of evaluation frameworks for LLMs (e.g. benchmark datasets automated evaluation).
Exposure to multi-agent collaboration systems and advanced orchestration.
Understanding of ethical AI bias mitigation and model interpretability.
At DXC Technology we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing productivity individual work styles and life circumstances. Were committed to fostering an inclusive environment where everyone can thrive.
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Employment Type
Full-Time
