Senior AI Consultant

Advancing Analytics; United States; Hybrid; USD 61,000 - 83,000; Full time

Benefits offered by this job

Near Lisbon office

Flexible office attendance

Job summary

Advancing Analytics in Lisbon area is seeking an experienced AI leader to design and deliver generative and agentic AI solutions for enterprise clients. You will architect production-ready approaches and guide implementation, operations and responsible AI practices.

Responsibilities include deploying RAG pipelines, building agents with tools and memory, and establishing CI/CD, monitoring and governance. Strong Python skills and experience across the AI project lifecycle are essential.

Qualifications

• Proven experience designing and deploying generative and agentic AI solutions.
• Deep practical knowledge of production RAG systems and retrieval evaluation.
• Experience with enterprise LLM applications, including safeguards and responsible AI.
• Strong Python skills and ability to deliver across the AI project lifecycle.
• Familiarity with agent frameworks such as LangChain, LangGraph, Semantic Kernel or CrewAI.
• Knowledge of LLMOps/MLOps, model assessment, monitoring and AI governance.

Responsibilities

• Design and deploy generative AI and agentic AI solutions on enterprise platforms.
• Build production RAG pipelines, addressing document chunking, vector search, retrieval evaluation and end-to-end optimisation.
• Develop agents that use tools, memory and multi-step reasoning.
• Apply prompt engineering, fine-tuning, guardrails and responsible AI practices to enterprise LLM solutions.
• Establish evaluation, experimentation, monitoring and CI/CD practices for AI workflows.
• Write production-quality Python and guide solutions from initial prototype through deployment.

Skills

Generative AI design

Agentic AI

Python

LangChain / LangGraph

MLOps / LLMOps

Tools

LangChain

Semantic Kernel

CrewAI

Databricks Mosaic AI Agent Framework

Azure OpenAI Service

Azure DevOps

Job description

Role overview

Lead the design and delivery of advanced AI solutions for customer problems, combining language models, agentic systems and machine learning pipelines. The work ranges from architecting production-ready approaches to guiding implementation, operations and responsible use in enterprise settings.

Responsibilities

• Design and deploy generative AI and agentic AI solutions on enterprise platforms.
• Build production RAG pipelines, addressing document chunking, vector search, retrieval evaluation and end-to-end optimisation.
• Develop agents that use tools, memory and multi-step reasoning.
• Apply prompt engineering, fine-tuning, guardrails and responsible AI practices to enterprise LLM solutions.
• Establish evaluation, experimentation, monitoring and CI/CD practices for AI workflows.
• Write production-quality Python and guide solutions from initial prototype through deployment.

Requirements

• Proven experience designing and deploying generative and agentic AI solutions.
• Deep practical knowledge of production RAG systems and retrieval evaluation.
• Experience with enterprise LLM applications, including safeguards and responsible AI.
• Strong Python skills and ability to deliver across the AI project lifecycle.
• Familiarity with agent frameworks such as LangChain, LangGraph, Semantic Kernel or CrewAI.
• Knowledge of LLMOps/MLOps, model assessment, monitoring and AI governance.

Nice to have

• Experience with Databricks Mosaic AI Agent Framework, Azure AI Studio, Azure OpenAI Service, Databricks Asset Bundles, GitHub Actions or Azure DevOps.

Benefits and work setup

• Salary range: €55,000–€75,000.
• Based near Lisbon, with flexibility around office attendance and occasional customer or team visits.