job summary: Seeking an innovative, business-savvy Senior AI Engineer to join our core AI acceleration pod team. In this role, you won't just write isolated code-you will sit at the intersection of cutting-edge AI capabilities and real-world business strategy. Working daily with our Underwriting business units, you will design, iterate, and build high-impact AI prototypes, custom portals, and advanced RAG frameworks to solve complex enterprise problems. location: Telecommute job type: Solutions salary: $70 - 80 per hour work hours: 8am to 5pm education: Bachelors responsibilities: Job Duties - Rapid AI Prototyping: Design and build user-facing portals, multi-agent frameworks, and RAG architectures tailored to solve acute business line problems. Business Immersion: Partner directly with the Underwriting business teams on a daily basis to map out workflows, understand operational context, and identify opportunities where AI can drive efficiency. Tooling Optimization: Maximize the capabilities of ecosystem tools like Claude Code and Cursor to accelerate prototype iterations and maintain high developmental velocity. Smooth Operational Handoff: Document and package validated prototypes, prompt configurations, and architecture designs to ensure a clean handoff to the downstream Industrialization Team for production scaling. Pod Leadership & Technical Oversight: Provide day-to-day guidance, mentorship, and quality oversight to additional pod members to ensure rapid prototype delivery is highly efficient, structurally sound, and aligned with enterprise goals. Pod Contribution & Knowledge Transfer: Act as a core engineering driver within your designated AI Pod, participating actively in rapid-cycle sprints, technical scoping, and peer knowledge-sharing sessions. Job Requirements - Seeking an innovative, business-savvy Senior AI Engineer to join our core AI acceleration pod team. In this role, you won't just write isolated code-you will sit at the intersection of cutting-edge AI capabilities and real-world business strategy. Working daily with our Underwriting business units, you will design, iterate, and build high-impact AI prototypes, custom portals, and advanced RAG frameworks to solve complex enterprise problems. This is an elite, fast-paced prototyping environment where your solutions will set the blueprint for our downstream Industrialization Team to scale into enterprise-wide production. If you are a cross-functional "people person" who loves leveraging advanced AI-assisted tools to build things quickly, this role is built for you. Experience & Qualifications Overall Career: 10+ years of professional experience in software engineering, systems design, or technical prototyping. AI Prototyping & Frameworks: 2+ years of hands-on experience building AI-augmented tools, Retrieval-Augmented Generation (RAG) pipelines, or prompt-based systems. AI-Assisted Tooling Literacy: Demonstrated fluency using advanced LLM-based engineering ecosystems (such as Claude Code (preferred) or Cursor or CoPilot) to drastically accelerate software delivery cycles. Domain Expertise: Prior background in the Insurance or Financial Services sector is highly preferred; direct exposure to underwriting processes is a massive advantage. Citizenship Requirement: Candidates must be eligible to convert directly to full-time employment without H1B visa sponsorship. Required Skills AI-Native Engineering: Expert capability in prompt engineering, context window management, and designing robust RAG (Retrieval-Augmented Generation) architectures. Consultative Communication: Exceptional soft skills with a proven track record of collaborating directly with non-technical business stakeholders daily to uncover technical needs. Agile Prototyping Mindset: A strong bias for action and velocity. Ability to build functional, adaptable prototypes and portals within a 3-6 month lifecycle without getting bogged down by tech-stack rigidity. Cross-Functional Collaboration: A true team player comfortable operating within active Agile pods alongside Tech Leads, Architects, and business partners. Team Leadership & Mentorship: Proven ability to provide technical guidance, mentorship, and oversight to fellow pod members. Must possess the leadership capacity to foster collaboration, elevate the team's technical execution, and ensure all deliverables meet the highest standards of quality and efficiency. Technical Versatility: While Python is highly valued for modular AI development, we prioritize a tech-agnostic ability to choose and utilize the right tool or framework to bring an AI concept to life quickly. Job Duties Rapid AI Prototyping: Design and build user-facing portals, multi-agent frameworks, and RAG architectures tailored to solve acute business line problems. Business Immersion: Partner directly with the Underwriting business teams on a daily basis to map out workflows, understand operational context, and identify opportunities where AI can drive efficiency. Tooling Optimization: Maximize the capabilities of ecosystem tools like Claude Code and Cursor to accelerate prototype iterations and maintain high developmental velocity. Smooth Operational Handoff: Document and package validated prototypes, prompt configurations, and architecture designs to ensure a clean handoff to the downstream Industrialization Team for production scaling. Pod Leadership & Technical Oversight: Provide day-to-day guidance, mentorship, and quality oversight to additional pod members to ensure rapid prototype delivery is highly efficient, structurally sound, and aligned with enterprise goals. Pod Contribution & Knowledge Transfer: Act as a core engineering driver within your designated AI Pod, participating actively in rapid-cycle sprints, technical scoping, and peer knowledge-sharing sessions. Desired Skills & Experience - Insurance underwriting processes experience qualifications: Bachelors Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.