Senior/Lead Forward Deployed AI Engineer-Anthropic-US East

highmetric; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote work

Travel up to 70%

Job summary

highmetric is seeking an experienced software engineering leader to design and deploy AI-powered workflows for enterprise customers. You will turn business needs into production-ready applications across workflow platforms and connected systems, delivering reusable components and best practices for future deployments.

You will work hands-on with full-stack development, AI/LLM solutions, and customer engagements, balancing technical excellence with clear communication to business stakeholders.

Qualifications

• 8+ years in software engineering or enterprise integration.
• Hands-on full-stack development and cloud experience.
• Experience building or deploying AI/LLM apps (e.g., RAG, assistants, agents).
• Proficiency in JS/TS or Python and one major cloud platform.
• Ability to communicate technical choices to business stakeholders.

Responsibilities

• Translate operational processes into designs, delivery plans and deployable AI solutions.
• Configure and integrate AI assistants, agent workflows, and automations into enterprise environments.
• Build generative AI apps using LLM APIs with multi-step orchestration.
• Develop retrieval-augmented generation solutions grounded in enterprise knowledge.
• Lead or support customer workshops, prototypes, pilots, and production rollouts; explain capabilities and tradeoffs clearly.
• Contribute reusable patterns and platform improvements while moving use cases to production.

Skills

Full-stack development

APIs & microservices

Cloud platforms

AI/LLM applications

Customer communication

Tools

JavaScript/TypeScript

Python

ServiceNow

Job description

Role overview

Design and deploy AI-powered workflows for enterprise customers, combining hands-on software engineering, systems integration, and customer-facing solution delivery. You’ll turn business needs into secure, production-ready applications, often within workflow platforms and connected enterprise systems. The role also contributes reusable components and implementation practices that can improve future deployments.

Responsibilities

• Discover customer requirements and translate operational processes into technical designs, delivery plans, and deployable AI solutions.
• Configure and integrate AI assistants, agent workflows, and automations into enterprise workflow environments and connected systems.
• Build generative AI applications using LLM APIs, applying prompt and context design, tool use, structured outputs, and multi-step orchestration.
• Develop retrieval-augmented generation solutions grounded in authorized enterprise knowledge, with validation, fallback, and human review where appropriate.
• Lead or support customer workshops, prototypes, demonstrations, pilots, and production rollouts; explain capabilities, limitations, and tradeoffs clearly.
• Contribute reusable patterns, platform improvements, and customer feedback while helping move use cases from prototype to governed production.

Requirements

• At least eight years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery.
• Strong hands-on engineering background in full-stack development, scripting, APIs, microservices, integrations, or cloud applications.
• Experience building or deploying AI/LLM applications, such as RAG systems, assistants, conversational tools, or agent workflows.
• Proficiency in JavaScript/TypeScript, Python, or a comparable language, and experience with a major cloud platform.
• Familiarity with embeddings, vector search, retrieval, tool calling, structured outputs, evaluation, and responsible AI practices.
• Ability to work directly with customers and communicate technical choices to business and engineering stakeholders.

Nice to have

• ServiceNow development or implementation experience, including workflow, integration, or platform capabilities.
• Familiarity with ServiceNow data models and areas such as IT service management, customer service, HR workflows, knowledge management, or CMDB.
• Experience with AI observability, evaluation frameworks, orchestration libraries, reusable developer tools, or secure CI/CD practices.

Benefits and work setup

• Remote role with travel expected at approximately 70%.