At a Glance
- Tasks: Design and implement innovative AI solutions for diverse clients.
- Company: Leading tech firm focused on generative AI and collaboration.
- Benefits: Competitive salary, flexible hours, remote work options, and growth opportunities.
- Other info: Dynamic work environment with a focus on innovation and teamwork.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong expertise in generative AI and hands-on experience with relevant frameworks.
About the Role We are seeking an accomplished Generative AI Consultant to drive the design and implementation of innovative AI solutions for our clients. Key Responsibilities Collaborate with client business teams to elicit project requirements, translate needs into technical design, and ensure successful delivery. Design comprehensive AI solutions, including architecture, model selection, data requirements, and integration with modern standards such as the Model Context Protocol. Architect generative and agentic AI systems, selecting appropriate frameworks, RAG strategies, and MCP‑based integrations, and defining safety, reliability, and scalability patterns. Define measurable metrics with clients and evaluate solution performance against them. Guide internal teams and collaborate with data scientists and engineers to implement and integrate solutions. Monitor deployed AI models, recommend improvements and maintain performance. Act as liaison between clients and internal teams, providing regular updates and addressing concerns. Required Qualifications Strong technical expertise in generative and agentic AI, including LLMs, RAG, autonomous and multi‑agent systems. Experience with Model Context Protocol and interoperability standards. Hands‑on experience building agentic workflows with memory, state management, and reliable execution, using frameworks such as LangGraph, CrewAI, or OpenAI Agents SDK. Proven ability to design RAG and knowledge‑grounded systems, with knowledge of vector databases (Pinecone, Weaviate, Chroma, etc.) and hybrid search techniques. Experience in designing end‑to‑end AI solutions—from requirement elicitation to deployment strategy—optimizing cost, latency, and governance. Knowledge of MLOps/LLMOps practices including Docker, Kubernetes, FastAPI, CI/CD, observability, and guardrails. Excellent verbal and written communication skills and ability to explain complex concepts to non‑technical stakeholders. Strong analytical skills, initiative, adaptability, customer orientation, teamwork, and integrity. Preferred Skills Domain knowledge in sectors such as healthcare, finance, or manufacturing. Basic project management experience. Understanding of data preprocessing, feature engineering, and data quality. Awareness of responsible AI governance, bias, fairness, privacy, and emerging regulations. Equal Opportunity Statement We are an equal opportunity employer. #J-18808-Ljbffr
Generative AI Consultant employer: Infosys Limited
At Infosys, we pride ourselves on being an exceptional employer, particularly for the Quality Engineering Lead role in Leeds. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. With competitive compensation, including bonuses, and a focus on diversity and inclusion, we create a rewarding environment where you can thrive both personally and professionally.
We think you need these skills to ace Generative AI Consultant
Generative AI
Agentic AI
Large Language Models (LLMs)
RAG (Retrieval-Augmented Generation)
Model Context Protocol
Interoperability Standards
LangGraph
