Senior Engineer, Enterprise AI

Role Overview

• Design, develop, deploy, and support enterprise AI applications, autonomous agents, and intelligent workflow solutions that improve employee productivity and operational efficiency
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines, semantic search capabilities, and AI orchestration workflows integrated with enterprise platforms and data sources
• Develop scalable integrations and AI-enabled services connecting systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, Atlassian, and other enterprise platforms
• Partner with engineering, product, architecture, and business stakeholders to deliver secure, reliable, and scalable AI-driven solutions in production environments
• Apply strong software engineering principles across system design, coding, CI/CD, observability, testing, troubleshooting, and operational support
• Utilize modern AI development tools and coding assistants to rapidly prototype, iterate, and improve AI-enabled applications and workflows
• Contribute to AI governance, security, reliability, and compliance standards for enterprise AI deployments
• Evaluate emerging AI technologies, frameworks, and methodologies to continuously improve platform capabilities and engineering effectiveness
• Participate in architectural discussions, technical reviews, and engineering best practices to help raise the overall technical maturity of the team
• Support a highly iterative development environment where rapid experimentation, continuous learning, and fast adaptation are critical to success

Requirements

• 4–7 years of experience in software engineering, AI/ML engineering, platform engineering, or enterprise application development
• Experience building and deploying scalable software applications or platforms in enterprise environments
• Experience developing AI-enabled applications, intelligent automation workflows, or LLM-powered solutions using modern AI frameworks and tools
• Experience designing or integrating distributed systems, APIs, enterprise platforms, or cloud-native applications
• Experience collaborating cross-functionally with engineering, product, architecture, and business teams to deliver production solutions

Tech Stack

• Cloud
• Distributed Systems
• ServiceNow

Benefits

• medical, dental and vision insurance
• flexible spending account
• 401(k)
• employee stock grants
• employee stock purchase plan
• paid time off
• up to 12 paid holidays
• paid parental and family leave
• family building benefits
• back-up care
• enhanced family support
• childcare subsidy
• tuition assistance
• college coaching
• short
• and long-term disability
• voluntary AD&D coverage
• voluntary accident coverage
• voluntary life insurance
• voluntary disability insurance
• voluntary long-term care insurance
• mobile service & home internet discounts
• pet insurance
• access to commuter and transit programs