AI/ML Engineering Leader - Python
First seen by Alion on Jul 31, 2026.
Job Description :
We are seeking a vision-driven AI/ML Engineering Leader to architect and scale intelligent enterprise solutions that transform business outcomes through innovation and automation. The ideal candidate will bring deep techno-functional expertise in LLMs, Generative AI frameworks, Agentic AI workflows, and MLOps, driving enterprise-scale AI adoption and measurable impact.
Key Responsibilities :
1. AI/ML Strategy & Transformation :
- Define and execute AI/ML roadmaps aligned with business KPIs.
- Lead enterprise-scale transformations by architecting end-to-end machine learning ecosystems.
2. Generative AI & LLM Solutions :
- Design and implement Retrieval-Augmented Generation (RAG) solutions and agentic AI workflows.
- Fine-tune LLMs for domain-specific applications and optimize inference efficiency using quantization and PEFT techniques.
3. MLOps & Model Lifecycle Management :
- Build scalable CI/CD pipelines for model deployment and monitoring.
- Develop explainability dashboards and ensure compliance with ethical AI governance.
4. NLP & Text Analytics :
- Deliver advanced NLP solutions leveraging transformer-based architectures for knowledge management and automation.
5. AI Integration with ITSM Platforms :
- Implement AI-driven service transformation for platforms like ServiceNow, enabling intelligent incident management and anomaly detection.
6. Cloud-Native AI Development :
- Architect and deploy AI solutions on AWS SageMaker and Bedrock environments.
7. Data Engineering & Governance :
- Design scalable ETL pipelines and enforce data governance standards for AI readiness.
8. Leadership & Mentorship :
- Foster high-performing global teams and promote AI adoption through ethical practices and cross-functional collaboration.
Required Skills & Qualifications :
- Technical Expertise : Python, R, TensorFlow, PyTorch, LangGraph, AWS Bedrock, SageMaker.
- AI/ML Specialization : LLM fine-tuning, RAG, Generative AI, NLP, Vision AI.
- MLOps Proficiency : CI/CD pipelines, model monitoring, explainability, compliance frameworks.
- Cloud Experience : AWS cloud-native AI development.
- Soft Skills : Strategic thinking, leadership, mentoring, and stakeholder management.
- Experience : 15+ years in IT/consulting with at least 5+ years in AI/ML engineering leadership roles.
Preferred Qualifications :
- Experience in agentic AI workflow design and autonomous systems.
- Proven track record of delivering enterprise-scale AI transformations.
- Familiarity with ethical AI governance and regulatory compliance frameworks.
Skills
Artificial Intelligence, Machine Learning, Generative AI, LLM, MLOps, Agentic AI, Python, Tensorflow, NLP