Denso

AI Engineering Team Lead

** Local Candidates Only - Hybrid Position. In office 3 days a week in Stamford

Must be US Citizen or Greencard Holder only

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:

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

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

o 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

· Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

· 10+ 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.

Job Types: Full-time, Contract

Pay: $85.00 - $90.00 per hour

Ability to Commute:

• Stamford, CT 06901 (Required)

Work Location: Hybrid remote in Stamford, CT 06901