Lead the design, development, and deployment of AI agents that automate workflows
Enhance decision-making and enable intelligent user interactions across the enterprise
Collaborate with product, data, and engineering teams to align AI priorities with business outcomes
Mentor junior engineers and ensure knowledge sharing across the team
Drive the development of automation workflows and APIs that integrate with business tools
Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous delivery
Ensure code quality, testing, and maintainability through best development practices
Develop KPIs and success metrics for team deliverables
Oversee documentation, sprint planning, and backlog prioritization in agile environments

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
8+ years of relevant experience in AI, software, or data development
Experience with agentic orchestration frameworks (e.g. Langchain)
Vector databases (e.g. pinecone)
Embedding models, RAG architecture, and LLM principles
Proven leadership in managing technical teams and delivering enterprise-scale projects
Strong knowledge of agile methodologies and DevOps practices

Benefits

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI developmentautomation workflowsAPIscloud infrastructureMLOps frameworkscode qualitytestingagile methodologiesDevOps practicesagentic orchestration frameworks

Soft Skills

leadershipmentoringcollaborationknowledge sharingdecision-makingcommunicationorganizational skillsteam managementbacklog prioritizationsprint planning

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering