AI Solutions Builder

Job Title: AI Engineer Location: NYC, NY | Atlanta, GA | Remote, USA Exemption Status: Full-time, exempt Who We Are Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need. With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care. Job Summary Impiricus is moving fast. Our business units (StratOps, Commercial Ops, etc.) are rapidly prototyping highly impactful internal AI tools using the latest vibe coding and agentic engineering techniques. We are hiring an Internal AI Solutions Builder to be the bridge between these grassroots innovations and enterprise-grade stability. Reporting to both the central AI hub team as well as the business unit you support, you will act as a Forward Deployed Engineer (FDE). You will not build foundational models; you will help our commercial team leverage AI to redesign workflows and generate revenue, while supporting business-built prototypes and "graduating" them into secure, scalable, and maintainable internal products. Responsibilities • Prototype Incubation & Auditing: Evaluate "vibe-coded" AI tools and automations built by non-technical business units (StratOps, Commercial Ops, etc.) to help boost their commercial ROI, security posture, and architectural viability. • Production Refactoring (The Paved Road): Take ownership of high-value internal prototypes (e.g., AI SDRs, RFP generators) and refactor them into secure, scalable, and enterprise-grade applications. • LLM Orchestration & Integration: Build and maintain secure integrations between foundational models (via APIs) and Impiricus's internal systems, specifically our Enterprise Data Lake and CRM (Salesforce). • Full-Lifecycle Maintenance: Act as the technical owner for all "graduated" internal AI applications, ensuring high uptime, managing prompt drift, and updating API connections as internal schemas change. • Cross-Functional Product Management: Act as your own PM. Interview business stakeholders to map complex operational bottlenecks, ruthlessly define scope, and manage stakeholder expectations regarding what should be an AI experience versus a standard SQL dashboard. • Governance Enforcement: Apply Enterprise Data & Analytics standards to all internal tooling, ensuring zero data leakage, strict access controls, and mitigation of hallucination risks in operational outputs. Requirements • Applied Engineering Experience: 2+ years of professional experience in software engineering, data engineering, or technical architecture, with a clear track record of building and deploying functional applications. • AI/LLM Proficiency: Demonstrable, hands-on experience building with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and managing context windows, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures in a production setting. • Core Tech Stack: Strong understanding of computer science fundamentals and software development best practices. Strong proficiency in a programming language (Python preferred). Deep experience building and consuming RESTful APIs, and working within modern cloud environments to deploy internal applications. • Stakeholder Management: Proven experience working directly with non-technical business leaders to translate ambiguous business problems into precise technical requirements. (Experience in a Forward Deployed, Solutions Engineering, or technical consulting role is highly preferred). • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field—OR equivalent demonstrably successful experience building and shipping complex technical projects. (We value a strong GitHub repository and a history of shipped operational tools over degrees). Nice-to-Have • Product Management Experience: Demonstrated ability to act as your own PM: conducting stakeholder interviews, translating messy operational problems into high-impact solutions, and managing expectations with the business. Experience as an entrepreneur or owning a product roadmap is a plus. Strong instincts for knowing what to build, what to skip, and how to build the right thing. The base salary range for this role is $165,000 - $210,000. Where you land within the range