Lead AI Engineer
First seen by Alion on Oct 21, 2026.
Key Responsibilities :
- Design and implement AI/GenAI solutions aligned with client business requirements.
- Work directly with clients to understand business challenges and translate them into technical solutions.
- Lead AI solution discussions, technical presentations, POCs, and client workshops.
- Define the solution architecture, approach, success metrics, and implementation roadmap.
- Guide AI engineering teams and provide technical direction throughout the development lifecycle.
- Review and contribute to AI models, code, architectures, and technical implementations as required.
- Lead deployment, monitoring, optimization, and continuous improvement of AI solutions.
- Identify technical challenges and provide practical, scalable, and business-focused solutions.
- Collaborate with Data, Cloud, Software Engineering, and Business teams for end-to-end delivery.
- Support pre-sales, solutioning, proposals, and client presentations when required.
- Stay updated with emerging GenAI, LLM, Agentic AI, and AI engineering practices and recommend relevant solutions.
- Expertise in Azure AI services, including Azure OpenAI, Azure AI Services, and Azure ML.
Must-Have Qualifications :
- 8 - 12 years of overall experience with at least 4 years of experience in AI/ML, Data Science, Generative AI, LLMs, and NLP.
- Strong hands-on experience with RAG, Agentic AI, LLM applications, prompt engineering, and knowledge graphs.
- Experience with LangChain, Agentic AI frameworks, and orchestration tools.
- Proficiency in Python, Hugging Face, model fine-tuning, evaluation, and optimization.
- Strong understanding of vector databases, embeddings, and semantic search.
- Experience in AI solution architecture, POCs, deployment, monitoring, and productionization.
- Ability to translate business requirements into scalable AI solutions and define success metrics.
- Excellent client-facing communication and presentation skills, with the ability to explain complex AI concepts to technical and non-technical stakeholders.
- Experience in technical leadership, mentoring, and guiding AI teams.
Skills
Artificial Intelligence, Generative AI, Python, LLM, RAG, LangChain, Agentic AI, Knowledge Graph, NLP, Data Science