Generative AI Lead/Architect
First seen by Alion on Aug 20, 2026.
Job Description :
We are looking for a Generative AI Lead / Architect with strong experience in AI/ML solution design, cloud platforms, NLP, and enterprise AI architecture. The role will involve designing end-to-end AI solutions, guiding technical teams, working with clients and stakeholders, and ensuring scalable, secure, and responsible deployment of AI solutions.
Key Responsibilities :
- Design and architect end-to-end AI and Generative AI solutions, from requirement gathering and data preparation through model development, deployment, and optimization.
- Evaluate business requirements and select appropriate AI/ML models, frameworks, architectures, and deployment approaches.
- Design AI architectures covering data ingestion, preprocessing, model integration, inference, monitoring, and performance optimization.
- Provide technical leadership to AI/ML engineering and data science teams.
- Work with clients, business stakeholders, and cross-functional teams to translate business problems into scalable AI solutions.
- Design and implement solutions using Machine Learning, Deep Learning, NLP, Generative AI, and related AI technologies.
- Work with Transformer architectures, attention mechanisms, embeddings, LLMs, and other modern NLP techniques.
- Leverage cloud platforms such as AWS, Azure, and GCP for AI/ML solution development and deployment.
- Apply data science and ML frameworks including Python, NumPy, Pandas, SciPy, TensorFlow, and Keras.
- Ensure AI solutions meet requirements for scalability, reliability, security, performance, and maintainability.
- Establish responsible AI practices covering data privacy, fairness, transparency, bias mitigation, and responsible data usage.
- Evaluate AI models and solutions for accuracy, performance, scalability, and business effectiveness.
- Stay current with emerging developments in Generative AI, LLMs, AI automation, and machine learning.
- Support project planning, technical estimation, milestones, and delivery in collaboration with project and delivery teams.
- Mentor engineers and contribute to AI capability building and technical standards.
Required Skills & Experience :
- 10 - 15 years of overall experience in AI/ML, Data Science, AI Engineering, or related technology roles.
- Strong experience in AI/ML solution architecture and enterprise-scale AI implementations.
- Strong understanding of machine learning algorithms including regression, decision trees, random forests, SVMs, and neural networks.
- Hands-on knowledge of Generative AI, NLP, Transformer models, LLMs, embeddings, and attention mechanisms.
- Strong programming and data science experience with Python, NumPy, Pandas, SciPy, and related frameworks.
- Experience with TensorFlow/Keras or equivalent deep learning frameworks.
- Strong knowledge of at least one major cloud platform - AWS, Azure, or GCP.
- Good understanding of data preprocessing, feature engineering, data quality, and model evaluation.
- Experience designing scalable AI architectures and integrating AI models into enterprise applications.
- Strong understanding of Responsible AI, data privacy, AI governance, and ethical AI principles.
- Excellent client-facing, communication, presentation, and stakeholder-management skills.
- Ability to lead technical discussions and explain complex AI concepts to non-technical stakeholders.
Good to Have :
- Experience with Computer Vision, reinforcement learning, robotics, or AI-driven automation.
- Domain experience in BFSI, healthcare, manufacturing, or other enterprise environments.
- Experience with AI/ML MLOps, model monitoring, deployment automation, and cloud-native AI services.
- Experience managing AI projects and coordinating distributed technical teams.
Skills
Artificial Intelligence, Generative AI, Machine Learning, AWS, NLP, Deep Learning, Python, Tensorflow, LLM