Senior AI Engineer
First seen by Alion on Aug 14, 2026.
Job Summary :
We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy AI/ML solutions that solve complex business problems. The ideal candidate will have strong expertise in machine learning, generative AI, large language models (LLMs), MLOps, and cloud-based AI platforms, with a passion for building scalable and production-ready AI systems.
Key Responsibilities :
- Design, develop, and deploy machine learning and Generative AI solutions.
- Build and optimize AI applications using LLMs, NLP, and deep learning frameworks.
- Develop AI-powered chatbots, copilots, recommendation engines, and intelligent automation solutions.
- Fine-tune, evaluate, and monitor machine learning and foundation models.
- Implement RAG (Retrieval-Augmented Generation) architectures and vector databases.
- Collaborate with business stakeholders, architects, data scientists, and engineering teams to translate requirements into AI solutions.
- Establish MLOps practices for model deployment, monitoring, and lifecycle management.
- Ensure AI solutions meet security, compliance, scalability, and performance standards.
- Mentor junior AI engineers and contribute to AI best practices and innovation initiatives.
Required Skills :
- Strong experience in Python and AI/ML development.
- Hands-on expertise with Generative AI, LLMs, Prompt Engineering, and AI Agents.
- Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, or LlamaIndex.
- Knowledge of NLP, Deep Learning, Computer Vision, and predictive analytics.
- Experience with vector databases such as Pinecone, FAISS, Chroma, or Azure AI Search.
- Strong understanding of MLOps, CI/CD, model deployment, and monitoring.
- Experience with cloud platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
- Familiarity with REST APIs, microservices, and containerization technologies (Docker/Kubernetes).
Preferred Qualifications :
- Experience in Healthcare or Health Insurance domain.
- Knowledge of Responsible AI, AI Governance, and Model Risk Management.
- Azure AI Engineer Associate, AWS ML Specialty, or equivalent AI certifications.
- Experience leading AI solution delivery in enterprise environments.
Education :
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Skills
Artificial Intelligence, Generative AI, LLM, NLP, Data Science, Python, Tensorflow, PyTorch, Azure, AWS, Deep Learning