AI Platform Engineer
Job Description
Seeking a highly skilled AI Platform Engineer to design, develop, and scale advanced AI, data, and application platforms within a large, data-driven organization focused on enterprise technology solutions. This role involves building production-grade systems across data engineering, machine learning, and generative AI, directly supporting broad organizational initiatives.
Role Overview
An innovative role responsible for architecting modern cloud-based data and AI infrastructure to drive organizational efficiency and innovation. The ideal candidate will lead efforts in data platform development, large language model implementation, MLOps, and application development to empower enterprise-wide digital transformation.
Key Responsibilities
- Design and implement scalable cloud data lake and data warehouse architectures utilizing platforms such as Snowflake, Google BigQuery, or equivalent
- Develop and maintain data ingestion pipelines from enterprise systems, including ERP, CRM, HRIS, and contract management databases, using Python, ETL tools, REST APIs, and serverless frameworks (e.g., AWS Lambda, Azure Functions)
- Establish data governance standards, including cataloging, lineage tracking, security protocols, and compliance best practices
- Develop retrieval-augmented generation (RAG) pipelines leveraging enterprise document datasets with embedding strategies, vector databases (e.g., Pinecone, Weaviate), and semantic search capabilities
- Build agent-based workflows utilizing modern language model orchestration tools such as LangChain or similar ecosystems
- Define prompt management, safety guardrails, and evaluation frameworks for large language models (LLMs)
- Deploy and monitor machine learning models in cloud environments (AWS, Azure, GCP), implementing CI/CD pipelines and automated retraining processes
- Build and enhance internal web applications, dashboards, and user interfaces to visualize AI/ML outputs, including risk analysis, scenario modeling, and enterprise knowledge management tools
- Develop chatbot and AI assistant interfaces, integrating backend ML services into scalable, secure, and user-friendly frontend applications
- Ensure compliance with enterprise security standards, data privacy policies, and high-availability system design
Core Qualifications & Requirements
- 8+ years experience in data engineering, machine learning engineering, or related roles involving enterprise AI solutions
- Proven expertise in Python programming for production systems and workflows
- Deep understanding of modern cloud data platforms (e.g., Snowflake, BigQuery, Azure Synapse) and data modeling techniques
- Extensive experience designing, building, and deploying end-to-end ML pipelines in production environments
- Advanced SQL skills and data architecture design knowledge
- Practical experience working with large language models APIs (e.g., OpenAI, Anthropic Claude, Google Gemini) and enterprise LLM ecosystems
- Strong familiarity with vector search databases such as Pinecone, Weaviate, or similar
- Hands-on experience developing retrieval-augmented generation (RAG) systems and semantic search workflows
- Proficiency with cloud platforms (AWS, Azure, GCP), including storage (S3, Blob Storage), compute, and serverless services
- Experience implementing CI/CD pipelines for data workflows and ML models using tools like Jenkins, GitLab CI, or Azure DevOps
- Solid understanding of enterprise security standards, data governance, identity management, and compliance protocols
- Skilled in building RESTful APIs and backend microservices architecture
- Experience developing modern web applications using frameworks like React, Next.js, or similar
Nice-to-Have Qualifications
- Experience with MLOps platforms such as Kubeflow, MLflow, or SageMaker
- Knowledge of data cataloging and metadata management tools (e.g., Collibra, Alation)
- Familiarity with enterprise deployment practices, container orchestration (Kubernetes), and infrastructure-as-code (Terraform, CloudFormation)
- Experience with enterprise integration and workflow automation tools
Core Technical Skills
- Data Engineering: Data Lakes, Data Warehousing (Snowflake, BigQuery)
- ML Pipelines: TensorFlow, PyTorch, MLflow, Kubeflow
- Cloud Platforms: AWS, Azure, GCP (S3, Blob Storage, Lambda, Azure Functions, GCP Functions)
- Data Governance & Security: Data Catalogs, Lineage, Encryption, Access Controls
- ETL & Data Ingestion: Apache Spark, Airflow, Fivetran, Talend
- Serverless Computing: AWS Lambda, Azure Functions, GCP Functions
- Vector Databases & Embeddings: Pinecone, Weaviate, FAISS
- Generative AI & LLM APIs: OpenAI, Anthropic Claude, Google Gemini
- MLOps & CI/CD: Jenkins, GitLab CI, Azure DevOps, Docker, Kubernetes
- API & Web Development: REST API, React, Next.js
Career Impact
This position offers the opportunity to lead the development of cutting-edge AI infrastructure that empowers enterprise innovation, streamlines operations, and shapes the future of organizational intelligence.
Apply Today!
Join a forward-thinking organization committed to leveraging AI technology to transform enterprise solutions. Submit your application now and be part of a pioneering team shaping the future of data-driven AI platforms.
The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.
Meet Your Recruiter
Kenny Pilanski
Regional Director
Kenny is a graduate from Quinnipiac University where he received his degree in Industrial Organizational Psychology. He has been with TPG since November 2015 and initially got into recruiting through a friend from college and never looked back. When he is not in the office you can find him fishing, golfing, or hanging out with his girlfriend and dog Foxy.
Share This Job:
Related Jobs:
Login to save this search and get notified of similar positions.About New York City, NY
Ready to take your career to the next level? Explore our job opportunities in the vibrant and dynamic area surrounding New York City, New York! From the iconic skyline to the bustling streets filled with endless possibilities, this region offers unparalleled growth opportunities and a diverse range of industries to thrive in. Immerse yourself in the enchanting culture of the Big Apple, with world-renowned landmarks such as the Statue of Liberty, Central Park, and Broadway theaters. Indulge in the city's diverse cuisine, catch a game at Madison Square Garden or Yankee Stadium, or unwind at the High Line Park. Join us in this exhilarating hub that never ceases to inspire and discover job listings that align with your ambitions today!