Senior AI Engineer / Applied AI Specialist – Building Enterprise AI Use Cases and Model Development (AWS, ML, GenAI) - Remote

Duration: 6 Months to start (high possibility of extension)

Location: Remote (EST Hours Preferred)

Our client is in the early stages of building enterprise AI capabilities and is seeking a Senior AI Engineer / Applied AI Specialist to help design, develop, and scale initial AI and machine learning use cases.

This role is highly hands-on and exploratory. The successful consultant will act as a technical SME, supporting model development, AI agent experimentation, and architectural decision-making while helping guide the team toward a scalable, future-ready AI approach.

The environment is green, making this an ideal role for someone who enjoys shaping direction, working through ambiguity, and building from first principles.

Key Responsibilities

• Design, build, and deploy AI and ML use cases aligned to business needs
• Develop and evaluate machine learning models, including experimentation and iteration
• Support early-stage AI agent development and GenAI use cases
• Provide technical guidance on AI architecture, tooling, and best practices
• Collaborate with data engineering and platform teams to ensure AI solutions are production-ready
• Advise on the selection and use of AI services and platforms as the tech stack evolves
• Help establish foundational AI development standards, patterns, and workflows
• Mentor and support team members through knowledge sharing and technical leadership
• Balance hands-on delivery with advisory input as the AI capability matures
• Architect workflows, eliminate operational inefficiencies, and rapidly ship automations that unlock leverage across every function.
• Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling

Must-Have Requirements

• Experience building and shipping Agentic AI / LLM-driven tools & products
• Build scalable APIs for model access, integration, and service orchestration
• Proficiency in RAG architectures, including vector stores (e.g., Pinecone, Weaviate), embedding models, and retrieval tuning
• Hands-on development experience in n8n and complementary no-code/low-code tooling.
• Senior-level experience in AI / Machine Learning / Data Science
• Strong background in model development, training, and evaluation
• Experience building applied AI solutions in real-world environments
• Hands-on experience with AWS AI/ML services, such as:
• SageMaker
• Bedrock
• Other AWS-native AI services
• Strong Python experience and familiarity with common ML frameworks
• Ability to operate effectively in ambiguous, early-stage environments
• Strong communication skills and ability to influence without direct authority
• Comfortable acting as both builder and advisor