Mandatory Skills: 15 years overall experience Java, Spring Boot, Angular, Azure, Microservices, Agentic AI workflows using LangGraph, LangChain, or comparable frameworks, P&C Insurance.
Application Requirements: Candidates must include their LinkedIn and Github profiles to go along with their applications. Note: Screening efforts have been strengthened; only the best candidates fully meeting these criteria will be submitted for review.
Position Summary
We are seeking a hands-on Full Stack AI Consultant to accelerate our AI-in-SDLC strategy, establish agentic workflow orchestration capabilities, and embed modern engineering best practices across the organization.
Key Responsibilities
- Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core.
- Build Enterprise Shared Services and APIs that could be reused across different product teams.
- Define and execute an AI-in-SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deployment.
- Design and implement agentic workflow orchestration using LangGraph, including multi-agent collaboration, tool integration, memory management, and human-in-the-loop patterns.
- Build reusable reference implementations, libraries, and playbooks for AI-augmented engineering.
- Drive adoption of DevOps, CI/CD, and observability practices with AI-driven enhancements.
- Advise on engineering policies and standards that embed AI-first principles.
- Upskill existing engineers on agentic AI patterns and AI-integrated development practices.
Qualifications & Experience
Core Engineering & Architecture:
- 15+ years in software engineering with advisory experience.
- Technical implementation experience that strictly aligns with the high seniority and depth required for this position.
- Expertise in Java, Spring Boot, Angular, and cloud-native architectures on Microsoft Azure.
- Strong background in microservices, Docker/Kubernetes, API-first design, and event-driven architectures.
AI & Agentic Systems (Strict Requirements):
- Demonstrated, hands-on Agentic AI implementation experience.
- Proven experience building, deploying, or operationalizing AI agents in production environments.
- Demonstrated effective use of AI tools for software development and code review activities.
- Ability to clearly explain AI-generated code, agent architectures, or multi-agent systems you have worked on.
- Broad AI engineering expertise (experience that is highly platform-specific rather than demonstrating broader AI engineering expertise will not advance).
- Hands-on experience orchestrating agentic AI workflows using LangGraph, LangChain, or comparable frameworks.
- Proven ability to design multi-agent systems with tool use, planning, and RAG patterns.
- Experience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automation.
- Strong understanding of LLM orchestration, prompt engineering, and AI observability.
Domain & Soft Skills:
- Insurance P&C domain experience strongly preferred.
- Excellent communication skills with the ability to influence from engineering teams to senior leadership.
- Track record of delivering measurable outcomes within time-bound engagements.
Education
Bachelor s or Master s in Information technology, Computer Science or related field.
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.
Physical Demands
This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
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