Senior AI Engineer

At Coaction were 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 teamopen 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-onfocused on putting AI into production (not research-only)and comfortable building repeatable patterns playbooks and guardrails from the ground up.

• 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 stakeholders to translate needs into solution designs requirements and delivery plans.
• Establish AI engineering best practices for testing and evaluation (quality safety regression testing) and incorporate them into CI/CD pipelines.
• Implement monitoring and observability for AI solutions (latency cost quality signals guardrail events) and define operational runbooks.
• Collaborate with others to support AI governance controls (vendor/model intake risk reviews documentation and change management).
• Contribute to security hardening for AI systems including safeguards against prompt injection data leakage and misuse.
• Document designs and deliver knowledge transfer to broaden internal capability and reduce reliance on external partners over time.
• Stay up to date with AI engineering tools platforms and patterns and recommend pragmatic adoption aligned to business value and risk posture.

• 5 years of software engineering experience building production systems (APIs services data pipelines or enterprise integrations).
• Bachelors or Masters Degree in Computer Science Information Systems or related field or equivalent work experience.
• Strong proficiency in at least one production language such as Python C# Java or similar.
• Experience integrating third-party APIs and services; strong understanding of distributed systems REST/JSON and authentication/authorization patterns.
• Hands-on experience implementing LLM-based solutions (prompting structured outputs tool/function calling) and/or ML-enabled services.
• Working knowledge of RAG concepts (embeddings vector search grounding/citations); experience with vector databases or enterprise search platforms is a plus.
• Awareness of LLMOps/MLOps practices: versioning evaluation monitoring incident response and change control.
• Experience with cloud platforms (AWS and/or Azure) and production operations (secrets management logging/monitoring cost controls).
• Strong engineering hygiene: source control code review automated testing CI/CD and performance monitoring.
• Understanding of AI risk and security considerations (prompt injection data privacy/PII handling vendor/model risk management) in regulated environments.
• Effective verbal and written communication skills; ability to translate business needs into technical solutions.

Salary range specific to for this role : $140000-$190000 discretionary incentive bonus benefits depends on various factors including without limitation individual and organizational performance. The offered rate of compensation will be based on individual education experience and addition employees are eligible for standard benefits package including paid time off medical dental and retirement.

Equal Opportunity Employer

Coaction is an Equal Employment Opportunity employer. Coactions policy is not to discriminate against any applicant or employee based on race color religion national origin gender age sexual orientation gender identity or expression marital status mental or physical disability and genetic information or any other basis protected by applicable law. Coaction also prohibits harassment of applicants or employees based on any of these protected categories.

If your application is selected you will receive an email directly from the Coaction Recruiting Team at asking you to contact a member of the Coaction Recruiting Team. Any other method of contact may be fraudulent.