AI & Data Science Engineer III

Captivate Staffing Group; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Captivate Staffing Group is seeking an AI & Data Science Engineer III to lead delivery of AI/ML solutions for enterprise clients. You will design and implement generative and agentic AI systems, collaborating with executives and project sponsors to translate business challenges into practical AI solutions.

Travel up to 50% may be required. You will work with small teams to define requirements, architectures, and testing strategies, ensuring secure and scalable deployments aligned with enterprise

Qualifications

• This role requires 4+ years delivering AI/ML solutions, with at least 1 year in Generative AI or multi-agent systems.
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• COMPANY NAME: Captivate Staffing GroupKEY POINTS: AI/ML delivery, Generative/Agentic AI, client-facing leadership
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• <p>Captivate Staffing Group seeks an experienced AI & Data Science Engineer III to lead delivery of AI/ML solutions for enterprise clients. You will design and implement generative and agentic AI systems, collaborate with executives, and own project workstreams from planning to deployment.</p><p>You will translate business challenges into scalable AI solutions, partner with client teams, and ensure secure, scalable architectures aligned with governance. Travel up to 50% as needed.</p>
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• Senior AI & Data Science Engineer III in the United States: market-rate salary for enterprise AI engagements, with a wide range reflecting client variety and travel requirements.
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Responsibilities

• Lead AI/ML delivery across complex client engagements.
• 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 orchestration, tool integration, memory, and autonomous workflows.
• Lead project workstreams and maintain technical ownership from planning to delivery.
• Develop scopes, schedules, resources, milestones, and deliverables.
• Monitor progress, identify variances, and implement corrective actions.
• Identify risks and constraints and develop mitigation strategies.
• Communicate clearly to stakeholders and decision-makers.
• Participate in client workshops, demos, and working sessions.

Skills

AI/ML solutions

Generative AI

Agentic AI

Python

Client-facing

Project leadership

Stakeholder comms

Agent orchestration

Cloud ecosystems

Multi-agent systems

Education

Bachelor's or Master's in CS/Engineering/Data Science/AI

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Strands

CrewAI

AWS

Google Cloud

Job description

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.

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

Experience with technologies such as:

• AI application deployment and orchestration

AWS

Experience with technologies such as:

• Amazon Bedrock
• Bedrock Knowledge Bases
• Bedrock Guardrails
• 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:

• Google AI Studio
• BigQuery
• Cloud Functions

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, coordination, and autonomous decision-making.
• Experience with LLM prompt engineering, fine-tuning, and RAG architectures.
• Experience with MLOps/AIOps, including monitoring, governance, model lifecycle management, and CI/CD.
• Experience with cloud-native application development.
• Experience designing APIs and microservices.
• Experience with event-driven architectures.
• Experience taking AI/ML solutions from prototype through production deployment.

Preferred Certifications

Relevant certifications are a plus, including:

• Azure Solutions Architect Expert

Amazon Web Services

• AWS Certified Solutions Architect – Professional