Engineering Lead - Java/Python, AI for Legal Tech

Allstate Insurance Co.; Illinois; Hybrid; USD 120,000 - 194,000; Full time

Benefits offered by this job

Technology setup

Connectivity reimbursement

Job summary

Allstate Insurance Co. seeks a highly technical Software Engineering Manager to lead the engineering vision, development, integration, and support of our Legal Technology ecosystem.

This role is hands‑on (about 80% coding, 20% leadership) and focuses on building scalable cloud‑native architectures, AI powered legal solutions, and enterprise integrations with Legal and Compliance stakeholders.

Qualifications

• Strong hands‑on experience with Java, Spring Boot, microservices, REST APIs, and event‑driven architectures.
• Proficiency in Python for automation, and platform engineering.
• Experience designing and supporting highly available production systems with accountability for reliability, security, and performance.
• Strong experience with enterprise integrations, API management, workflow orchestration, SaaS platforms, and messaging technologies such as Kafka.
• Experience with relational and NoSQL databases, container platforms such as Kubernetes, and cloud‑native data services.
• Strong expertise with Microsoft Azure and/or AWS cloud platforms.
• Experience building or integrating AI‑powered solutions using Azure OpenAI, LLMs, RAG, vector databases, or related technologies.
• Familiarity with AI frameworks such as LangChain, Semantic Kernel, or similar orchestration platforms.
• Experience with AI‑driven search, knowledge management, or information retrieval solutions is a plus.
• Experience working in Agile environments and collaborating directly with business stakeholders.

Responsibilities

• Lead the architecture, development, integration, and support of Legal Technology products and platforms.
• Design, develop, and maintain cloud-native applications, APIs, integrations, and event-driven services supporting Legal and Regulatory business capabilities.
• Actively contribute to software development through hands‑on coding, code reviews, architectural design, troubleshooting, and production support.
• Integrate and orchestrate vendor‑provided legal applications with enterprise systems, ensuring scalable, secure, and reliable solutions.
• Drive technical decisions related to cloud platforms, application modernization, data management, integration patterns, and AI services.
• Own product reliability, security, performance, and operational excellence, including incident response, root cause analysis, and continuous improvement initiatives.
• Partner closely with product managers, business stakeholders, and cross‑functional teams to deliver business outcomes.
• Design and implement AI‑powered solutions using Generative AI, LLMs, RAG, and intelligent automation technologies to enhance legal operations and knowledge management.
• Partner with Legal and Compliance stakeholders to identify opportunities to leverage AI responsibly while maintaining governance, security, privacy, and regulatory requirements.
• Lead experimentation, innovation, and adoption of emerging AI technologies, frameworks, and legal technology solutions.
• Own the reliability, supportability, security scalability, and performance of Legal Technology products in production.
• Manage vendor relationships, product upgrades, integration initiatives, and platform lifecycle activities.
• Define operational KPIs, service‑level objectives, and engineering metrics to ensure platform health and business value realization.
• Lead, coach, and mentor team of engineers while fostering a culture of accountability, innovation, and continuous learning.
• Influence stakeholders and engineering teams to adopt modern engineering and AI best practices.

Skills

Java

Spring Boot

Microservices

REST APIs

Python

Kubernetes

Azure/AWS

Kafka

AI/Generative AI

API design

Cloud architecture

Tools

LangChain

Semantic Kernel

Azure OpenAI

Vector databases

Job description

Allstate Insurance Co. seeks a highly technical Software Engineering Manager to lead the engineering vision, development, integration, and support of our Legal Technology ecosystem.

This role is hands‑on (about 80% coding, 20% leadership) and focuses on building scalable cloud‑native architectures, AI powered legal solutions, and enterprise integrations with Legal and Compliance stakeholders.