Vice President (AI / ML Engineering)

TL;DR

Vice President AI/ML Engineering (AI): Launching and implementing GenAI agentic solutions to reduce risk and cost of managing large-scale production environments. Focus on developing agentic AI solutions that diagnose, reason, and take action to improve productivity and address issues related to production support.

Location: Jersey City, New Jersey, United States

Salary: USD 130,000 - 250,000

Company

hirify.global is a leading global investment banking, securities and investment management firm.

What you will do

• Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution.
• Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops.
• Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.
• Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps.
• Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns.

Requirements

• A Bachelor’s degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 7+ years of experience as an applied data scientist / machine learning engineer.
• 7+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.
• 3+ years designing, architecting, testing, and launching production ML systems.
• Practical experience with Large Language Models (LLMs): API integration, prompt engineering, finetuning/adaptation, and building applications using RAG and tool-using agents.
• Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.

Nice to have

• Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).

Culture & Benefits

• Access to excellent training programmes designed to improve multiple facets of your skill portfolio.
• In-house training programme, “hirify.global University” offers a comprehensive series of courses that you will have access to as your career progresses.
• Committed to providing people with valuable and competitive benefits and wellness offerings.