Sales Engineer – AI & Agentic Sales Systems in United States Embassy at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sales Engineer – AI & Agentic Sales Systems based in United States.
This role offers the opportunity to design the next generation of AI-powered revenue systems within a fast-growing healthcare technology environment.
You will combine software engineering, artificial intelligence, automation, and sales operations expertise to build intelligent systems that transform how teams generate and manage opportunities.
The position focuses on creating autonomous AI agents that streamline prospecting, qualification, engagement, and customer lifecycle workflows.
You will work closely with cross-functional teams to develop scalable solutions using modern AI models, cloud infrastructure, and data-driven insights.
This is a highly technical and hands-on role for an innovative builder who enjoys solving complex business challenges through emerging technologies.
Your work will directly influence revenue growth, operational efficiency, and the future of AI-enabled sales organizations.
The Sales Engineer will be responsible for architecting, developing, and optimizing an AI-driven sales ecosystem that improves pipeline generation, automation, and revenue performance. This role requires strong technical ownership, collaboration with business teams, and the ability to transform complex sales processes into scalable intelligent workflows.
- Design and build autonomous AI-powered sales pipelines capable of lead qualification, nurturing, opportunity management, and sales support.
- Develop AI agents that automate key sales activities including lead research, prospect scoring, personalized outreach, follow-ups, meeting preparation, proposal generation, and CRM updates.
- Build integrations between CRM platforms, AI services, marketing automation tools, and internal business systems.
- Create and optimize workflows using AI orchestration frameworks, multi-agent architectures, and modern automation technologies.
- Develop prompt engineering strategies, evaluation processes, and monitoring frameworks for production AI systems.
- Implement cloud-based AI infrastructure and scalable solutions using modern cloud services.
- Build dashboards and analytics solutions to measure funnel performance, AI effectiveness, conversion rates, and revenue attribution.
- Partner with Sales, Marketing, Product, and leadership teams to improve revenue operations and customer acquisition strategies.
- Research, evaluate, and integrate emerging AI technologies that enhance business performance.
- Continuously improve AI agents through experimentation, testing, performance analysis, and optimization.
- Deliver measurable improvements in pipeline velocity, lead generation, CRM quality, and sales productivity.
The ideal candidate is a technically skilled engineer with experience building AI solutions, automation systems, and scalable software platforms. They should combine strong engineering fundamentals with business understanding and the ability to translate sales challenges into intelligent technical solutions.
- Bachelor’s degree or higher in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related technical field.
- 5+ years of experience building enterprise software, AI solutions, or complex automation systems.
- Experience designing agentic AI systems, multi-agent workflows, or AI-powered business applications.
- Proven experience developing automated sales, marketing, or revenue operations systems.
- Strong knowledge of CRM platforms such as HubSpot, Salesforce, Microsoft Dynamics, or similar enterprise solutions.
- Experience integrating APIs, SaaS platforms, and business applications.
- Hands-on experience with Large Language Models (LLMs), including OpenAI, Anthropic Claude, or Google Gemini.
- Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), AI evaluation methods, and AI orchestration frameworks.
- Experience with AI agent memory, planning architectures, and intelligent workflow automation.
- Strong programming skills in Python, JavaScript, TypeScript, SQL, REST APIs, Git, and CI/CD practices.
- Experience with cloud technologies including AWS, serverless architecture, and API-based infrastructure.
- Understanding of data modeling, predictive analytics, lead scoring, business intelligence, sales forecasting, and marketing attribution.
- Ability to collaborate effectively with technical and non-technical stakeholders.
- Strong problem-solving skills with the ability to operate independently in a fast-paced environment.
Preferred qualifications include:
- Experience in healthcare technology, EHR platforms, SaaS, or revenue cycle management environments.
- Experience building AI copilots, autonomous business agents, or conversational AI solutions.
- Familiarity with vector databases, semantic search, and production AI deployment practices.
- Knowledge of healthcare interoperability standards and APIs.
- Experience with MLOps and maintaining AI systems in production environments.
- Competitive compensation package based on experience and qualifications.
- Full-time employment opportunity with remote, hybrid, or onsite flexibility depending on location.
- Opportunity to work on cutting-edge AI technologies transforming healthcare operations.
- Collaborative environment focused on innovation, experimentation, and measurable impact.
- Access to modern tools and technologies for building scalable AI-powered systems.
- Standard US business hours with flexibility aligned to team needs.