AI & Data Science Engineer III

Captivate Staffing Group AI & Engineering

About the Opportunity

Captivate Staffing Group is seeking an experienced AI & Data Science Engineer III to join an innovative AI & Data engineering team supporting complex technology initiatives for enterprise clients.

This is an opportunity to work at the intersection of Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, and cloud engineering. You’ll help design and deliver intelligent solutions that modernize technology platforms, improve business operations, and create measurable business value.

The ideal candidate is both technically strong and comfortable working directly with clients, translating business challenges into practical AI solutions and helping lead projects from concept through implementation.

What You’ll Do:

As an AI & Data Science Engineer III, you will help lead the delivery of AI/ML solutions across complex client engagements.

Responsibilities include:

• Partner with executive clients, stakeholders, technical teams, and project sponsors to understand business objectives and technology requirements.
• Design, develop, and implement AI/ML, Generative AI, and Agentic AI solutions.
• Translate complex business problems into scalable, production-ready AI solutions.
• Build and integrate AI agents, including agent orchestration, tool integration, retrieval, memory, and autonomous decision-making workflows.
• Work with small teams to define requirements, functional designs, process flows, prototypes, testing strategies, training, and support procedures.
• Lead project workstreams from planning through implementation while maintaining strong technical ownership.
• Develop project scopes, schedules, resource plans, milestones, and deliverables.
• Monitor project progress, identify variances, and implement corrective actions when necessary.
• Identify project risks, assumptions, and constraints and develop strategies to minimize their impact.
• Manage changes to project scope, schedule, and costs.
• Develop clear technical and business communications for stakeholders and decision-makers.
• Participate in client workshops, presentations, demonstrations, and interactive working sessions.
• Help ensure AI solutions are secure, scalable, maintainable, and aligned with enterprise architecture and governance requirements.

Required Qualifications

• 4+ years of professional experience delivering AI/ML solutions, including at least 1 year focused on Generative AI, Agentic AI, or multi-agent systems.
• 2+ years of hands-on Python experience building AI/ML solutions.
• 1+ year of direct experience developing Agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.
• Experience with one or more agentic AI frameworks such as:
• LangChain
• LangGraph
• Semantic Kernel
• AutoGen
• Strands
• CrewAI
• 1+ year leading project workstreams or engagements, translating business problems into AI solutions and delivering measurable outcomes.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
• Ability to travel up to 50%, depending on client and project requirements.

Cloud & AI Platform Experience

Candidates should have hands-on experience with at least one major cloud AI ecosystem.

Azure

Experience with technologies such as:

• Azure AI Foundry
• Azure OpenAI Service
• Azure Cognitive Search / vector databases
• Azure Cognitive Services
• Microsoft Entra ID
• Azure Key Vault
• AI application deployment and orchestration

AWS

Experience with technologies such as:

• Amazon Bedrock
• Bedrock Knowledge Bases
• Bedrock Guardrails
• Prompt Flows
• RAG pipelines
• AWS Lambda
• Amazon ECR
• Amazon EC2
• Amazon Q Business
• Amazon Q Developer
• Amazon Cognito
• AWS IAM
• AWS Secrets Manager
• AWS KMS

Google Cloud

Experience with technologies such as:

• Vertex AI
• Vertex AI Model Garden
• Vertex AI Agent Builder
• Gemini API
• Google AI Studio
• BigQuery
• Cloud Run
• Cloud Functions
• Google Kubernetes Engine (GKE)

Preferred Qualifications

The following experience is highly desirable:

• Prior consulting or client-facing technology delivery experience.
• Experience leading client workshops and creating technical/business presentation materials.
• Strong presentation and communication skills with both technical and executive audiences.
• Experience designing and building multi-agent AI systems, including task delegation, coor…