Lead Consultant - AI Engineering
First seen by Alion on Oct 29, 2026.
About Allstate :
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs.
Job Description :
The Software Engineer - Expert or Lead Consultant is a hands-on senior individual contributor who architects, builds, and operates complex digital products across AI, agentic systems, semantic technologies, data engineering, and cloud platforms.
Key Responsibilities :
- Serve as a recognised expert across business domains and technology stacks, sharing standards and reusable practices across the organisation.
- Align cross-product technical strategy with product managers, architects, engineering peers, and key stakeholders.
- Shape product architecture and design, balancing scalability, security, resilience, performance, operability, cost, and delivery speed.
- Architect AI-enabled and data-intensive products, including agentic AI, LLM services, semantic technologies, knowledge graphs, and data pipelines.
- Own production readiness and operational excellence across reliability, observability, security, performance, incident response, and product KPIs.
Required Skills :
- 10+ years of software engineering experience, including technical leadership of complex, production-grade products or platforms.
- Strong programming capability in Python and at least one additional modern language.
- Proven experience architecting and delivering LLM-based and agentic AI systems, including MLOps/LLMOps and responsible AI controls.
- Strong knowledge of semantic technologies, including RDF, OWL, enterprise ontologies, and knowledge graphs.
- Experience with data engineering patterns, including ETL/ELT, lakehouse architecture, and metadata-driven pipelines.
- Experience delivering AI and data solutions on Microsoft Azure and Microsoft Fabric.
Education :
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is preferred.
Skills
Artificial Intelligence, Machine Learning, Python, Generative AI, Agentic AI, Knowledge Graph, Data Engineering, Azure, Microsoft Fabric, MLOps, LLM