Senior Generative AI Consultant
First seen by Alion on Sep 8, 2026.
Role Overview:
We are looking for a Senior Generative AI Consultant to drive the design, development, and implementation of Generative AI solutions for enterprise use cases. The ideal candidate should have strong hands-on expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, Python, and cloud-based AI technologies.
Key Responsibilities:
- Engage with business and technology stakeholders to understand business challenges and identify opportunities for Generative AI adoption.
- Define Generative AI solution strategies, technical approaches, and implementation roadmaps.
- Design and develop enterprise-grade Gen AI applications using LLMs, foundation models, RAG, and intelligent automation.
- Build LLM-powered applications using prompt engineering, context management, embeddings, and semantic search.
- Design and implement RAG pipelines using document processing, chunking, retrieval, and reranking.
- Develop AI-powered chatbots, virtual assistants, and document intelligence solutions.
- Build and orchestrate AI agents capable of planning, reasoning, and executing multi-step workflows.
- Evaluate different LLMs based on accuracy, latency, scalability, security, and cost.
- Develop and optimize prompt templates for business-specific outcomes.
- Implement LLM evaluation frameworks to assess response quality and hallucination rates.
- Integrate Gen AI applications with enterprise systems, APIs, and databases.
- Design solutions addressing data security, privacy, and responsible AI governance.
- Lead technical workshops and solution discussions with clients.
- Collaborate with software engineers, data scientists, and architects to deliver production-ready solutions.
Required Technical Skills:
- Strong hands-on experience in Generative AI and Large Language Models.
- Strong programming experience in Python.
- Hands-on experience with RAG architectures, embeddings, and vector databases.
- Knowledge of prompt engineering and LLM application development.
- Experience building AI agents and agentic workflows.
- Experience developing REST APIs and integrating AI services.
- Hands-on experience with cloud platforms and their AI/ML services.
- Experience with Git, CI/CD, and Docker.
Consulting & Client Engagement:
- Work directly with clients to understand AI transformation objectives.
- Conduct discovery sessions and technical workshops.
- Prepare solution approaches, architecture recommendations, and technical proposals.
- Explain complex AI concepts to both technical and non-technical stakeholders.
Education:
- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, or a related technical discipline is preferred.
Skills
Machine Learning, Python, Artificial Intelligence, Cloud Computing, Generative AI, LLM, RAG, ETL, SQL