Data Science & AI Delivery Lead

Jobtailor; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor is seeking a senior technical leader to own AI delivery workstreams in New York. You will guide a team of Data Scientists and AI Engineers, drive design, build, test, and deployment of AI solutions, and ensure quality and timely delivery across multiple concurrent projects.

You will provide technical guidance on model selection and architecture, review outputs, and champion best practices in MLOps, code reviews, and documentation, collaborating with Azure OpenAI and Azure ML services.

Qualifications

• Demonstrable experience delivering AI/ML solutions from concept through production.
• Strong technical knowledge including Python and core data science libraries.

Responsibilities

• Own the operational running of AI delivery workstreams, ensuring focus and timely delivery.
• Directly manage design, build, test, and deployment of AI solutions across multiple projects.
• Provide technical guidance on solution design, model selection, and architecture decisions.
• Review code and outputs to maintain quality; contribute hands-on Python development when needed.
• Champion engineering best practices, including CI/CD, MLOps, and code reviews.
• Mentor and coach team members through pairing, reviews, and knowledge-sharing sessions.
• Plan deliveries with timelines, cost estimates, and status updates with stakeholders.

Skills

AI/ML Solution Delivery

Python Proficiency

MLOps Principles

Generative AI Experience

Project Management

Tools

Databricks

MLflow

LangChain

Semantic Kernel

Vector Databases

Azure OpenAI

Azure Machine Learning

Azure AI Search

Spark

Job description

• Own the operational running of AI delivery workstreams, ensuring the team is focused, unblocked, and delivering against priorities.
• Act as the primary point of escalation when the Head of is unavailable.
• Directly manage the design, build, test, and deployment of AI solutions across multiple concurrent projects, ensuring quality and timely delivery.
• Provide technical guidance on solution design, model selection, and architecture decisions, ensuring the team is taking the right approach for each use case.
• Review code and technical outputs to maintain quality standards, and contribute hands‑on to Python-based development when needed, particularly during critical delivery phases or proof‑of‑concept work.
• Support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search).
• Ensure robust MLOps practices are followed, including model versioning, testing, deployment pipelines, and monitoring of deployed solutions for performance and drift.
• Champion engineering best practices across the team, including code review standards, documentation, version control (Git), and a clear separation between experimentation and production‑ready code.
• Work closely with AXIS's Business Technology Solutions for solution architecture and delivery, and with the Program Office for planning deliveries, providing timelines, cost estimates, and status updates.
• Partner with Data Engineering to ensure data pipelines and lakehouse structures support AI delivery needs.
• Support the Head of & Data Science & AI Delivery in leading and developing a growing team of Data Scientists and AI Engineers, fostering a culture of excellence, collaboration, and continuous learning.
• Mentor and coach team members through hands‑on pairing, structured code reviews, and knowledge‑sharing sessions on emerging techniques and tools.
• Support the Head of in tracking the project pipeline, estimating costs (including cloud compute and API consumption), and managing resource allocation to ensure the team is effectively deployed against priorities.
• Stay current with the rapidly evolving AI landscape, including new foundation models, open‑source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies.
• Represent the Head of & Data Science & AI Delivery in meetings, steering groups, and stakeholder forums as required, ensuring continuity of leadership and communication.

Requirements

• Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production.
• Strong technical knowledge, including proficiency in Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow).
• Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing.
• Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search.
• A solid understanding of MLOps principles, including CI/CD for models, automated testing, and monitoring of deployed solutions.
• Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search.
• Experience managing or leading technical delivery teams, with a track record of fostering a positive, high-performing team culture.
• Excellent communication skills and the ability to translate complex technical concepts for business stakeholders.
• Strong project management skills, including resource estimation, progress tracking, and meeting deadlines in a fast-paced, multi-priority environment.
• A proactive, problem-solving mindset with the ability to operate independently and step up into a leadership vacuum when needed.

Core Competencies

Demonstrates expertise in delivering AI/ML solutions, with strong proficiency in Python and core data science libraries. Capable of managing technical delivery teams while fostering a culture of collaboration and excellence in MLOps practices.

Highest-signal resume keywords

• AI/ML Solution Delivery
• Python Proficiency
• MLOps Principles
• Generative AI ExperienceProject Management Skills

ATS Optimization Keywords

Hard Skills

• Python
• MLOps
• Databricks
• Scikit-learn
• Pandas
• PyTorch
• TensorFlow
• Azure OpenAI
• Azure Machine Learning
• Spark

Soft Skills

• Excellent Communication
• Problem-Solving Mindset
• Team Leadership
• Collaboration
• Mentoring

Industry Keywords

• Generative AI
• RAG Patterns
• CI/CD
• Experiment Tracking
• Model Management

Tools & Technologies

• MLflow
• Azure AI Search
• LangChain
• Semantic Kernel
• Vector Databases