Agentic AI Delivery Consultant - Gilbert, AZ - Ability to Obtain

Agentic AI Delivery Consultant needed for a direct hire opportunity with SOC’s client to work onsite in Mechanicsburg, PA, Gilbert, AZ, or Lake Mary, FL.



*Must be able to obtain Secret Clearance*



Responsibilities

• Design and build generative AI and agentic AI solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP)-based integrations using the Claude Agent SDK and Claude Cowork.


• Deliver components of client engagements spanning solution design, prototyping, testing, and production rollout.


• Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout.


• Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery.


• Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery.


• Maintain clear, consistent communication with client stakeholders and internal engagement leadership.

 

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field


• Ability to obtain and maintain a Secret level security clearance


• 4+ years of experience delivering artificial intelligence and machine learning (AI/ML) solutions, including 1+ year focused on generative AI, agentic AI, or multi-agent systems.


• 2+ years of experience building AI/ML solutions using Python.


• 1+ years of experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows, using LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, or LangGraph.


• 1+ years of experience using one or more cloud platforms to build or deploy agentic AI applications: 
  
  
  
  • Microsoft Azure (Azure AI Foundry, Azure OpenAI Service, Azure AI Search or vector databases, Cognitive Services, Microsoft Entra ID, and Azure Key Vault); 
  
  
  • Amazon Web Services (AWS) (Amazon Bedrock, Knowledge Bases, Guardrails, Prompt Flows, retrieval-augmented generation (RAG) pipelines, AWS Lambda, Amazon Elastic Container Registry, Amazon Elastic Compute Cloud, Amazon Q Business, Amazon Q Developer, Amazon Cognito, AWS Identity and Access Management, AWS Secrets Manager, and AWS Key Management Service);
  
  
  • Google Cloud Platform (GCP) (Vertex AI, Gemini application programming interface (API), Google AI Studio, BigQuery, Cloud Run, Cloud Functions, and Google Kubernetes Engine).
  
  
  
  


• 1+ years of experience leading project workstreams or engagements for AI solution design and delivery.


• You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations.


• You can expect to co-locate on average 2 times a week with variations based on types of work/projects and client locations.


• Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.


• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

 

Preferred Qualifications:

• Experience in consulting roles with client-facing delivery responsibilities.


• Experience developing materials for client workshops and interactive client sessions, and delivering presentations to stakeholder audiences.


• Experience building multi-agent systems with task delegation and coordination across agents.


• Certification as an Azure AI Engineer Associate, Azure Solutions Architect Expert, Amazon Web Services (AWS) Certified Machine Learning – Specialty, AWS Certified Solutions Architect – Professional, Google Cloud Professional Machine Learning Engineer, or Google Cloud Professional Cloud Architect.


• Experience with large language model (LLM) prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) architecture.


• Experience with machine learning operations (MLOps) or artificial intelligence operations (AIOps), continuous integration and continuous delivery (CI/CD) pipelines, cloud-native application development, application programming interface (API) design, microservices architecture, and event-driven systems.

 

 

Employment Prerequisites 

The following requirements must be met to be eligible for this position: successful completion of a background investigation and drug urinalysis. 

  

SOC, a Day & Zimmermann company, is an Equal Opportunity Employer, EOE AA M/F/Vet/Disability. 

 

Note: Any pay ranges displayed are estimations, which may have been provided by job boards. Actual pay is determined by an applicant’s experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. 



#INDSOC




Estimated Min Rate: $63000.00

Estimated Max Rate: $90000.00