Greetings from Galent,
This is Dinesh R and I'm a Recruitment executive with Galent,.
We are one of the premier Talent Solutions partners with global fortune brands, helping them find the right talent for their teams working on next generation technology innovations.
If you are interested, please share me with your updated resume,
Job Title: Generative AI Technology Lead
Type: Full-Time
Location: NYC/NJ
Job Details
Role Summary
We are seeking an AI Technology Lead to lead the delivery of GenAI-powered applications and data science solutions from concept through production. This role sits at the intersection of engineering, data science, and business, requiring strong project management discipline combined with hands-on technical expertise.
The ideal candidate can manage complex technical programs, guide a team of developers and data scientists, actively contribute to solution design and development of GenAI solutions.
Key Responsibilities:
Program & Delivery Management
- Own end-to-end delivery of GenAI and data science projects, from requirements through deployment and post-production support
- Translate business problems into clear technical scope, milestones, and delivery plans
- Manage project timelines, dependencies, risks, and issue resolution across multiple workstreams
- Drive Agile execution (Scrum / Kanban), including sprint planning, standups, reviews, and retrospectives
- Ensure delivery meets quality, security, compliance, and performance standards
Technical Leadership (Hands-on)
- Act as a technical lead/partner to developers and data scientists
- Contribute directly to:
- Solution architecture and design
- Code reviews and technical decision-making
- Proofs of concept and rapid prototyping
- Guide implementation of GenAI applications, including:
- LLM integration (e.g., OpenAI, Gemini, Claude, open-source models)
- Prompt engineering, RAG pipelines, embeddings, vector databases
- Model evaluation, guardrails, and responsible AI practices
Full-Stack & Data Understanding
- Understand and guide full-stack development across:
- Frontend (React, Angular, or similar)
- Backend APIs and services (Python, Java, Node.js, etc.)
- Data pipelines and feature engineering
- Partner with data scientists on:
- Model development and experimentation
- MLOps / LLMOps workflows
- Deployment, monitoring, and retraining strategies
Team & Stakeholder Management
- Manage and mentor a cross-functional team of engineers, data scientists, and analysts
- Coordinate across product, architecture, security, and business stakeholders
- Communicate technical progress, risks, and trade-offs clearly to both technical and non-technical audiences
- Foster a culture of engineering excellence, ownership, and continuous improvement
- Handson experience in delivering technical projects in software engineering, data, or AI domains
- Hands on experience in leading projects involving AI/ML or GenAI technologies
- Proven experience managing engineering and data science teams
- Hands-on experience delivering production-grade applications, not just prototypes
Technical Skills
- Strong experience designing and delivering solutions on Microsoft Azure
- Understanding of core Azure services, including: Azure OpenAI Service and GenAI integrations, Azure Data Factory, Azure Functions, App Services, AKS (Azure Kubernetes Service), Azure Blob Storage
- Strong understanding of:
- Full-stack application development
- Cloud platforms ( Azure)
- APIs, microservices, and scalable architectures
- Solid knowledge of GenAI concepts, including:
- LLMs, embeddings, vector search, RAG architectures
- Model limitations, hallucinations, evaluation techniques
- Experience with data science workflows, MLOps, or LLMOps is highly desirable
- Comfortable reviewing code and contributing when needed
Project Management Skills
- Strong Agile delivery expertise
- Experience managing complex, ambiguous problem spaces
- Excellent risk management and dependency tracking
- Ability to balance speed, quality, and technical debt
Experience in finance or asset and wealth management
Thanks & Regards,
Dinesh R
Senior Talent Acquisition Specialist- Recruitment
Email :
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