Principal AI/ML Architect
First seen by Alion on Sep 9, 2026.
Role:
We are looking for a highly experienced Principal AI/ML Architect with strong hands-on expertise in AI/ML, Generative AI, LLMs, RAG, Agentic AI, MLOps, and Cloud.
Key Responsibilities:
- Architect and implement end-to-end AI/ML and Generative AI solutions.
- Translate business requirements into scalable, secure, production-ready architectures.
- Develop solutions using Python, AI/ML frameworks, APIs and Cloud services.
- Design and implement LLM, RAG, embeddings, vector search and Agentic AI solutions.
- Build capabilities for model training, deployment, inference, evaluation and monitoring.
- Implement MLOps / LLMOps practices including CI/CD, versioning, testing and observability.
- Evaluate and select AI models, frameworks, and platforms based on business requirements.
- Integrate AI services with enterprise applications, APIs, data platforms and cloud services.
- Ensure solutions meet enterprise standards for security, privacy, scalability, performance and cost optimization.
- Provide technical leadership through architecture, hands-on development, code reviews, troubleshooting and mentoring.
Tech Stack & Requirements:
- 8+ years of hands-on AI/ML experience with enterprise-scale, production-grade implementations.
- Strong Python development and software engineering expertise.
- Strong experience in Machine Learning, Deep Learning, NLP and Generative AI/LLMs.
- Hands-on expertise in RAG, embeddings, vector databases/search, prompt engineering and LLM evaluation.
- Strong experience with Azure / AWS / GCP.
- Hands-on experience with MLOps / LLMOps, model deployment, monitoring, CI/CD and containers.
- Experience with APIs, microservices, data pipelines and enterprise data platforms.
- Strong understanding of AI Security, Privacy, Responsible AI and Enterprise Governance.
- Excellent communication and stakeholder management skills.
Contact:
Devakar,
Skills
Machine Learning, Generative AI, Python, Cloud, MLOps, NLP, Deep Learning, Artificial Intelligence, RAG, LLM