Principal Tech Lead for Generative AI solutions at Ameriprise India LLP. Leading design, development, and deployment of advanced AI systems in collaborative environment.
About the role
- Lead AI Engineer designing AI systems to enhance Berry Street’s evidence-based nutrition therapy platform. Combining data science and machine learning for personalized and effective care delivery.
Responsibilities
- Design and build end-to-end AI systems — from data ingestion and preprocessing to model training, deployment, and monitoring
- Develop and refine predictive, scoring, and recommendation models that quantify session quality, track patient progress, and personalize care plans
- Fine-tune and evaluate large language models (LLMs) to enhance provider and patient experiences through reliable, clinically safe interactions
- Prototype and iterate rapidly on AI-powered product features, integrating stakeholder feedback to ensure measurable impact
- Collaborate with engineering and product teams to scale ML infrastructure and ensure reliability, transparency, and observability
Requirements
- Have 7+ years of experience in data science, ML engineering, or applied AI, with proven success taking models from prototype to production
- Have strong grounding in machine learning fundamentals — feature design, validation, bias mitigation, and evaluation
- Are fluent in Python and familiar with modern AI tooling (OpenAI, Hugging Face, LangChain)
- Have experience building recommendation or personalization systems using behavioral or text-based data
- Are experienced with fine-tuning and evaluating LLMs, and understand their limitations, safety, and interpretability
- Have worked with text or conversational datasets, ideally in healthcare, coaching, or behavioral settings
- Are motivated by zero-to-one challenges — defining frameworks, building new systems, and driving measurable impact.
Benefits
- This role has the option to be in-person/hybrid in NYC, or fully remote depending on candidate location
- The expected base pay range for this position is $225,000–$275,000, based on qualifications and experience
- Comprehensive health insurance plans, including dental and vision
- Generous PTO 🏖️
- 401k with match 💰
- Citibike membership 🚲
- Unlimited dietitian care 🍓
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Applied AI Engineer at GSK delivering high - impact AI/ML solutions aligned with R&D priorities. Collaborating with cross - functional teams to build and deploy machine learning models for drug discovery.
Lead GenAI & Agentic AI platform strategy for multiple clients at Capgemini Engineering. Driving adoption, managing operations, and advising on technological architecture.
Full Stack Engineer developing applications at Blue Origin focused on reusable space vehicles. Leveraging TypeScript, React, and AI in software development for innovative space solutions.
ROS Architect optimizing ROS architectures and software for Physical AI systems at ST Engineering. Engaging in cutting - edge robotics applications and collaborative hardware engineering efforts.
Entry - level AI Engineer at Bisnow using AI to enhance workflows and tools across various teams. Collaborating with senior leadership on practical AI applications for improved efficiency.
AI Engineer building NLP solutions for legal technology. Extracting meaning from legal documents and turning specifications into working solutions.
Senior AI Engineer leveraging Generative AI and Machine Learning in a hybrid position. Collaborating on solutions that enhance logistics and data - driven processes for a technology - driven enterprise.
AI Engineer responsible for designing, building, and deploying machine learning models. Working at Qualysoft, delivering AI solutions with robust, scalable, and optimized performance.
Senior AI Engineer at XTEL driving innovation using Python and GenAI. Collaborate in a flexible remote - hybrid environment with an international team.