AI Engineering Team Lead

Position: AI Engineering Team Lead

Location: Stamford CT - Hybrid

Duration: 6 months

About the Role The AI Engineering Team Lead will be responsible for driving AI-based solution development to support United Rentals strategic initiatives. This role will focus on designing and delivering intelligent scalable and secure AI solutions by leveraging cutting-edge technologies such as Amazon Bedrock SageMaker Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and prompt engineering.

The position requires a deep understanding of cloud-native architectures machine learning operations and modern data pipelines. The successful candidate will partner with business and technology teams to design and implement AI systems that integrate seamlessly across SQL and NoSQL databases vectorization pipelines and AWS cloud infrastructure.

Key Responsibilities:

Architect design and implement AI-based solutions leveraging AWS services (Amazon Bedrock SageMaker Lambda ECS S3 etc.) and advanced machine learning techniques.

Build and manage data vectorization pipelines to support RAG and LLM-based applications.

Define and implement scalable AI architectures that integrate with enterprise data platforms SQL and NoSQL systems.

Drive best practices in AI/ML model deployment monitoring and lifecycle management (MLOps).

Collaborate with cross-functional teams to align AI solutions with business goals and technical standards.

Provide technical leadership in areas of prompt engineering generative AI AI agents AI tools and knowledge retrieval systems.

Direct develop and mentor staff:

Provide direction to staff to increase their ability to positively impact the business and achieve desired results.

Initiate career development and training plans to ensure succession of IT leaders.

Establish goals and assess performance in a timely manner.

Foster an atmosphere and environment of collaboration teamwork and open communication

Evaluate emerging AI technologies and recommend adoption strategies.

Ensure compliance scalability and security across AI solution deployments.

Provide input to IT strategic plan and architecture

Provide thought leadership in the select of new technologies to support business needs and deprecate legacy technologies

Continuously improve and modernize the existing architecture consisting of on premise and cloud

Ensure applications are designed and developed in a secure and extensible architecture

Qualifications:

Bachelors or Masters degree in Computer Science Data Science or related field.

15 years of experience in software engineering/architecture with at least 3 5 years in AI/ML solution design.

Proven expertise in AWS cloud services (Bedrock SageMaker Lambda API Gateway etc.).

Strong knowledge of LLMs RAG pipelines embeddings and vector databases (e.g. Pinecone FAISS or similar).

Experience with modern data architectures ETL/ELT pipelines and integrating SQL & NoSQL databases.

Hands-on experience with MLOps frameworks and tools.

Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow PyTorch or Hugging Face.

Excellent problem-solving communication and leadership skills