A
Senior AI Engineer - IV
Artech
3 hours ago
Full-time
On-site
East New York, New York, United States
Senior AI Engineer
The Senior AI Engineer reports directly to the VP of AI and is responsible for leading and advancing enterprise-wide AI initiatives. This role leads the design, development, and deployment of end-to-end AI systems and intelligent agents that drive automation, decision-making, and business value at enterprise scale. Operating as a senior independent contributor, this role works comfortably across multiple concurrent initiatives — spanning AI architecture, model integration, and developer tooling — while collaborating with Data Scientists, Data Engineers, product owners, and business stakeholders to translate complex requirements into production-ready AI solutions. With deep expertise in enterprise AI architecture and hands-on proficiency with AI coding assistants such as Claude Code and Codex, this individual accelerates delivery velocity while maintaining rigorous engineering standards across the full AI development lifecycle. Design, build, and deploy end-to-end AI systems — from data ingestion and model development through inference, monitoring, and continuous improvement Architect and develop AI agents and multi-agent frameworks capable of reasoning, planning, and executing complex workflows autonomously Build cohesive AI solutions through the orchestration and integration of Models, LLMs, agentic services, expert systems, and knowledge graphs Leverage AI coding assistants (Claude Code, GitHub Codex, and similar tools) to accelerate development, automate repetitive engineering tasks, and improve code quality across the team Build and maintain scalable AI pipelines on Databricks and AWS, integrating with existing data infrastructure and enterprise systems Define and implement enterprise AI architecture standards, patterns, and best practices across the organization Evaluate and integrate large language models (LLMs), foundation models, and generative AI capabilities into business applications Collaborate with Data Scientists to operationalize ML models and move experiments from prototype to production Partner with cross-functional teams across multiple simultaneous initiatives to scope, design, and deliver AI-powered solutions Establish model monitoring, evaluation, and feedback loops to ensure AI systems remain accurate, safe, and performant in production Stay current with the rapidly evolving AI landscape and proactively recommend new tools, frameworks, and approaches that improve outcomes Mentor junior engineers and contribute to a culture of technical excellence, experimentation, and continuous learning Prepare technical documentation, architecture diagrams, and executive presentations to communicate AI strategy and results Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; master's degree preferred 7+ years of experience in software or data engineering with at least 5 years focused on AI/ML systems development Demonstrated end-to-end experience building and deploying AI systems and AI agents in production environments Proficiency with AI coding assistants such as Claude Code, GitHub Codex, or equivalent tools as part of an active development workflow Hands-on experience with Databricks for model training, feature engineering, and pipeline orchestration Solid experience with AWS cloud services (SageMaker, Lambda, S3, EC2, Step Functions, or equivalent) for AI/ML workloads Strong Python skills including SparkSQL, MLlib, PyTorch, spaCy, and NLTK for NLP and ML model development Experience integrating AI systems via REST APIs, GraphQL, and OAuth for secure, scalable enterprise connectivity Proven ability to operate as a senior independent contributor across multiple initiatives simultaneously without close supervision Experience designing enterprise AI architecture including APIs, orchestration layers, vector databases, and model serving infrastructure
The Senior AI Engineer reports directly to the VP of AI and is responsible for leading and advancing enterprise-wide AI initiatives. This role leads the design, development, and deployment of end-to-end AI systems and intelligent agents that drive automation, decision-making, and business value at enterprise scale. Operating as a senior independent contributor, this role works comfortably across multiple concurrent initiatives — spanning AI architecture, model integration, and developer tooling — while collaborating with Data Scientists, Data Engineers, product owners, and business stakeholders to translate complex requirements into production-ready AI solutions. With deep expertise in enterprise AI architecture and hands-on proficiency with AI coding assistants such as Claude Code and Codex, this individual accelerates delivery velocity while maintaining rigorous engineering standards across the full AI development lifecycle. Design, build, and deploy end-to-end AI systems — from data ingestion and model development through inference, monitoring, and continuous improvement Architect and develop AI agents and multi-agent frameworks capable of reasoning, planning, and executing complex workflows autonomously Build cohesive AI solutions through the orchestration and integration of Models, LLMs, agentic services, expert systems, and knowledge graphs Leverage AI coding assistants (Claude Code, GitHub Codex, and similar tools) to accelerate development, automate repetitive engineering tasks, and improve code quality across the team Build and maintain scalable AI pipelines on Databricks and AWS, integrating with existing data infrastructure and enterprise systems Define and implement enterprise AI architecture standards, patterns, and best practices across the organization Evaluate and integrate large language models (LLMs), foundation models, and generative AI capabilities into business applications Collaborate with Data Scientists to operationalize ML models and move experiments from prototype to production Partner with cross-functional teams across multiple simultaneous initiatives to scope, design, and deliver AI-powered solutions Establish model monitoring, evaluation, and feedback loops to ensure AI systems remain accurate, safe, and performant in production Stay current with the rapidly evolving AI landscape and proactively recommend new tools, frameworks, and approaches that improve outcomes Mentor junior engineers and contribute to a culture of technical excellence, experimentation, and continuous learning Prepare technical documentation, architecture diagrams, and executive presentations to communicate AI strategy and results Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; master's degree preferred 7+ years of experience in software or data engineering with at least 5 years focused on AI/ML systems development Demonstrated end-to-end experience building and deploying AI systems and AI agents in production environments Proficiency with AI coding assistants such as Claude Code, GitHub Codex, or equivalent tools as part of an active development workflow Hands-on experience with Databricks for model training, feature engineering, and pipeline orchestration Solid experience with AWS cloud services (SageMaker, Lambda, S3, EC2, Step Functions, or equivalent) for AI/ML workloads Strong Python skills including SparkSQL, MLlib, PyTorch, spaCy, and NLTK for NLP and ML model development Experience integrating AI systems via REST APIs, GraphQL, and OAuth for secure, scalable enterprise connectivity Proven ability to operate as a senior independent contributor across multiple initiatives simultaneously without close supervision Experience designing enterprise AI architecture including APIs, orchestration layers, vector databases, and model serving infrastructure