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Allstate India - Lead Consultant - AI Engineering

Allstate
10 - 15 Years
Multiple Locations

Posted on: 29/10/2026

Job Description

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.

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