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InterSources Inc · 12 hours ago

Senior AI-ML Developer Lead

Clinton, NJ

Contract

Hybrid

Senior Level, Lead/Staff

14+ years exp

InterSources Inc is seeking a Senior AI-ML Developer Lead for New York Life Insurance. This hands-on technical leadership role involves leading the design and delivery of next-generation AI solutions, focusing on Generative AI and AI/ML initiatives within a regulated enterprise environment.

Artificial Intelligence (AI)Cyber SecurityInformation TechnologySoftware

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Provide end-to-end technical leadership across AI/ML and Generative AI initiatives, from ideation to production rollout

Define and own enterprise-level reference architectures for:

Machine Learning platforms

Generative AI solutions (RAG pipelines, agent frameworks)

Data ingestion, feature engineering, and model orchestration

Act as the GenAI / AI-ML Subject Matter Expert, setting engineering standards, design patterns, and best practices

Mentor and guide senior engineers through architecture reviews, code reviews, and technical decision-making

Design and implement Retrieval-Augmented Generation (RAG) solutions including:

Document ingestion and preprocessing

Chunking and embedding strategies

Vector databases and retrieval mechanisms

Prompt engineering and response synthesis

Build and deploy agent-based AI systems supporting:

Multi-step reasoning

Tool usage and orchestration

Human-in-the-loop workflows

Deliver GenAI use cases such as:

Enterprise knowledge assistants

Document intelligence and summarization

Conversational AI and chatbots

Workflow automation and decision support

Lead hands-on development using Python and modern backend frameworks (FastAPI, Flask)

Build, train, fine-tune, and deploy ML and GenAI models using:

PyTorch, TensorFlow, Scikit-learn

Transformer-based LLM frameworks

Implement scalable, containerized AI services using Docker and Kubernetes

Design CI/CD pipelines and deployment strategies for ML and GenAI workloads

Establish and maintain MLOps and GenAI Ops practices including:

Model lifecycle management

Versioning, monitoring, and drift detection

Prompt management and performance optimization

Cost governance and scalability

Work with cloud-native ML platforms and services

Collaborate with product, platform, data, risk, and business stakeholders to translate requirements into AI solutions

Lead technical design sessions, architecture reviews, and roadmap discussions

Ensure compliance with enterprise security, governance, and Responsible AI standards

Qualification

Generative AIAI/ML LeadershipPythonMLOpsCloud-native architecturesRAG pipelinesAgent-based AI systemsCross-functional communicationLeadership

Required

14+ years of overall software engineering experience with progression into senior technical leadership roles

8+ years of hands-on AI/ML experience including model development, deployment, and production support

Proven experience delivering enterprise Generative AI solutions, including RAG pipelines and agent-based AI systems

Strong proficiency in Python and backend system design

Deep understanding of cloud-native architectures and scalable distributed systems

Experience working in regulated environments such as insurance, financial services, or banking

Strong leadership, mentoring, and cross-functional communication skills

Preferred

Prior experience supporting large enterprise modernization programs

Familiarity with multiple LLM providers, vector databases, and GenAI platforms

Experience influencing AI strategy and architectural standards at enterprise scale

Company

InterSources Inc

Innovative IT Solutions Built for Your Business. InterSources Inc is your partner in Growth and CyberSecurity.

Founded in 2007

Fremont, California, USA

501-1000 employees

https://www.intersourcesinc.com

H1B Sponsorship

InterSources Inc has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (4)

2024 (5)

2023 (16)

2022 (1)

2021 (7)

2020 (7)