Coaction
Insurance
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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