Coaction

Insurance

SeniorAIEngineer

$140–190k Morristown, New Jersey, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Engineer at Coaction. Skills: AI Engineering, LLM Solutions, RAG Solutions, Production Systems. Implement AI-enabled features, services, and APIs. Integrate into enterprise workflows and applications”

What You'll Achieve.

Deliver measurable outcomes

Industry & Context.

Insurance
Problems you'll solve

Translate needs into solutions

What They're Looking For.

Must Have

5+ years software engineering experience, Bachelor's or Master's Degree in Computer Science or equivalent work experience, Proficiency in Python, C#, Java, or similar, Experience integrating third-party APIs, Experience implementing LLM-based solutions, Experience with cloud platforms (AWS and/or Azure), Experience with production operations, Experience with source control, code review, automated testing, CI/CD, performance monitoring, Understanding of AI risk and security considerations

Nice to Have

Experience with vector databases or enterprise search platforms, Experience with RAG concepts

What You'll Do.

Implement AI-enabled features

Integrate into enterprise workflows and applications

Adhere to engineering

and security practices

Design and build integration patterns for external AI

Implement access controls

Develop and maintain RAG solutions

Use enterprise data sources

Support implementation of Agentic AI platform reference architecture

Create reusable AI components

Accelerate delivery across use cases

Translate needs into solution designs

Create requirements and delivery plans

Establish AI engineering best practices

Incorporate best practices into CI/CD pipelines

Implement monitoring and observability for AI solutions

Define operational runbooks

Support AI governance controls

Contribute to security hardening for AI systems

Safeguard against prompt injection

Safeguard against data leakage

Safeguard against misuse

Deliver knowledge transfer

Broaden internal capability

Reduce reliance on external partners

Stay up to date with AI engineering tools

Recommend pragmatic adoption

How You'll Work.

Team & Collaboration

Integrated team; Partner with Architecture; Partner with Engineering; Partner with Data; Partner with Business; Collaborate with stakeholders

Communication Scope

Verbal communication; Written communication

Process & Methodology

Delivery plans

Full Job Description

At Coaction, we’re a unique mix of leaders, achievers, thinkers, and team players with a high-performance mindset and a diverse skillset. We bring our industry expertise together to continually push the boundaries of what insurance can be for our clients. At Coaction, innovation is key to our continued success and growth. As we expand our digital and data capabilities, Artificial Intelligence will play a critical role in enhancing underwriting, operations, and customer experience. We believe the best solutions happen when product, engineering, data, security, and the business partner as one integrated team—open to ideas, ready to challenge the status quo, and focused on delivering measurable outcomes in a regulated industry. This is our first dedicated AI Engineering role. This role will be instrumental in shaping how we design, build, deploy, and operate AI-powered solutions safely and responsibly. The ideal candidate is pragmatic and hands-on—focused on putting AI into production (not research-only)—and comfortable building repeatable patterns, playbooks, and guardrails from the ground up. # Responsibilities * Implement AI-enabled features, services, and APIs that integrate into existing enterprise workflows and applications, while adhering to established engineering, architecture, and security practices. * Design and build integration patterns for external AI services (LLMs and ML APIs), including secure data handling, access controls, and auditability. * Develop and maintain retrieval-augmented generation (RAG) solutions for document-heavy workflows (e.g., submissions, endorsements, claims documentation) using enterprise data sources. * Collaborate with Architecture and Engineering to support the implementation of an Agentic AI platform reference architecture and implementation * Create reusable AI components including Agentic Platform components to accelerate delivery across multiple use cases. * Partner with architecture, engineering, data, and business stakeh

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