Senior Lead AI Engineer - GenAI
First seen by Alion on Sep 26, 2026.
Role Overview:
Looking for a senior AI leader to architect, design, and deliver enterprise-scale AI, Machine Learning, and Generative AI solutions while driving technical strategy and mentoring engineering teams.
Key Responsibilities:
- Lead architecture, development, and deployment of enterprise AI/ML and GenAI solutions.
- Design scalable solutions using LLMs, RAG, AI Agents, NLP, and ML.
- Define AI technical roadmaps and solution architectures.
- Lead architecture reviews, code reviews, and engineering governance.
- Drive MLOps/LLMOps, observability, reliability, security, and cost optimization.
- Guide teams across the complete AI lifecycle from ideation to production.
- Engage with business leaders, architects, product teams, and clients.
- Lead technical workshops, solutioning, and executive presentations.
- Mentor AI engineers, technical leads, and architects.
- Support AI transformation, pre-sales, estimations, and reusable AI accelerators.
Must-Have Skills:
- 10 - 15 years of experience in Software Engineering, Data Engineering, AI/ML, or related domains.
- Strong expertise in ML, Deep Learning, NLP, GenAI, and LLMs.
- Hands-on experience with RAG, Agentic AI, Prompt Engineering, Fine-Tuning, and Vector Databases.
- Python and SQL.
- LangChain, LlamaIndex, Semantic Kernel, Hugging Face.
- PyTorch / TensorFlow.
- Azure OpenAI / Azure AI Services / AWS AI/ML / Google Cloud AI.
- Databricks / Snowflake / Enterprise Data Platforms.
- Docker, Kubernetes, CI/CD, MLOps, and LLMOps.
- Strong solution architecture, stakeholder management, and technical leadership skills.
Good to Have:
- Healthcare / Life Sciences / Pharma / regulated industry experience.
- Azure AI Engineer / Azure Solutions Architect certification.
- AWS ML / Google Professional ML / Databricks ML certifications
Skills
Generative AI, Machine Learning, Python, LangChain, SQL, PyTorch, Tensorflow, Artificial Intelligence, MLOps, Deep Learning