Vice President (AI / ML Engineering)

TL;DR

Vice President AI/ML Engineering (AI): Responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities with an accent on production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support. Focus on building validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies.

Location: Must be based in 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 that provides a wide range of services worldwide to a substantial and diversified client base.

What you will do

• Build agentic AI systems that combine retrieval, structured reasoning, and secure action execution following MCP protocol and engineer robust guardrails for safety, compliance, and least-privilege access.
• Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.
• Integrate agents with runtime ecosystems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.
• Partner with production engineers and application teams to translate production pain points into agentic AI roadmaps and deliver auditable, business-aligned outcomes.
• Build a RAG pipeline, curate domain-knowledge, and establish feedback loops and milestone framework maintain knowledge freshness.
• 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 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, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.
• Practical experience with Large Language Models (LLMs): API integration, prompt engineering, finetuning/adaptation, and building applications using RAG and tool-using agents.
• Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).
• Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams.

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.
• Comprehensive series of courses which span technical, business and leadership skills.
• Valuable and competitive benefits and wellness offerings.