hackajob · 2 hours ago
Lead Machine Learning Engineer – Agentic AI, Vice President
Jersey City, NJ
Full-time
Onsite
Senior Level, Lead/Staff, Director/Executive
10+ years exphackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Lead Machine Learning Engineer – Agentic AI in Risk Technology, you will lead and mentor a team of engineers, drive innovation in generative and agentic AI, and deliver impactful technology solutions for the Risk business.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions for the Risk business
Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development
Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, and guardrails
Guide research on context and prompt engineering techniques to improve prompt-based model performance, utilizing libraries such as SmartSDK and LangGraph
Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale
Build and maintain data pipelines and processing workflows for scalable, efficient data consumption
Write secure, high-quality production code and conduct code reviews
Partner with Data Science, Product, and Business teams to identify requirements and develop solutions
Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership
Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
10+ years of experience in machine learning engineering
Strong proficiency in Python and experience deploying end-to-end pipelines on AWS
Hands-on experience in system design, application development, testing, and operational stability
Experience using LangGraph or SmartSDK for multi-agent orchestration
Experience with AWS and infrastructure-as-code tools such as Terraform
Preferred
Strategic thinker with the ability to drive technical vision for business impact
Demonstrated leadership working with engineers, data scientists, and ML practitioners
Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines
Experience with agentic telemetry and evaluation services
Hands-on experience building and maintaining user interfaces
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Leadership Team
Mark Chaffey
CEO
Phil Kell
VP - Marketplace
Recent News
2025-10-23
2025-09-26
2025-09-12
Company data provided by crunchbase