Role: Senior Lead Artificial Intelligence Solutions Consultant
Location: Charlotte NC (Hybrid)
Type: Contract
Job Duties:
- Lead the design and delivery of enterprise scale Artificial Intelligence and Generative AI solutions for complex business problems.
- Act as a client facing solution lead translating business requirements into scalable AI architectures across data models and platforms.
- Provide hands on technical leadership across GenAI use cases including Retrieval Augmented Generation (RAG) agentic workflows model orchestration and AI platform integration.
- Partner with stakeholders architects and engineering teams to ensure secure high performance and production ready AI solutions aligned to enterprise and regulatory standards.
Required Qualifications:
- 4 years of Artificial Intelligence experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education
- 3 years across product/solution management program delivery or technical product ownership for AI/ML platforms or cloud-native solutions.
- 3 years hands-on with cloud technologies (GCP or Azure) and container orchestration (Docker Kubernetes/OpenShift).
Desired Qualifications
- 5 years across the AI/ML lifecycle: data management feature engineering model development deployment monitoring/observability and model risk/governance.
- Experience in large enterprise environments (regulated industries preferred) and building platforms at scale.
- Hands-on with GenAI and agentic AI (LLMs diffusion models RAG tool use/agents); familiarity with OpenAI Azure Hugging Face LangChain/LangGraph ADK vector databases.
- Experience with MLOps/LLMOps tooling and practices (model registry CI/CD feature store prompt/chain/versioning evaluation guardrails monitoring).
- Strong communication skills with the ability to influence senior stakeholders and simplify complex technical topics
- Working knowledge of platform components and services such as Vertex AI BigQuery OpenShift IBM CP4D and large-scale distributed model execution platforms.
- Proven ability to create and implement executive-level roadmaps and dashboards demonstrating business impact and risk posture.
- Excellent technical depth with the ability to dive into APIs SDKs security controls data contracts and performance profiles.
- Strong negotiation stakeholder engagement and cross-functional leadership skills.
Role: Senior Lead Artificial Intelligence Solutions Consultant Location: Charlotte NC (Hybrid) Type: Contract Job Duties: Lead the design and delivery of enterprise scale Artificial Intelligence and Generative AI solutions for complex business problems. Act as a client facing solution lead transla...
Role: Senior Lead Artificial Intelligence Solutions Consultant
Location: Charlotte NC (Hybrid)
Type: Contract
Job Duties:
- Lead the design and delivery of enterprise scale Artificial Intelligence and Generative AI solutions for complex business problems.
- Act as a client facing solution lead translating business requirements into scalable AI architectures across data models and platforms.
- Provide hands on technical leadership across GenAI use cases including Retrieval Augmented Generation (RAG) agentic workflows model orchestration and AI platform integration.
- Partner with stakeholders architects and engineering teams to ensure secure high performance and production ready AI solutions aligned to enterprise and regulatory standards.
Required Qualifications:
- 4 years of Artificial Intelligence experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education
- 3 years across product/solution management program delivery or technical product ownership for AI/ML platforms or cloud-native solutions.
- 3 years hands-on with cloud technologies (GCP or Azure) and container orchestration (Docker Kubernetes/OpenShift).
Desired Qualifications
- 5 years across the AI/ML lifecycle: data management feature engineering model development deployment monitoring/observability and model risk/governance.
- Experience in large enterprise environments (regulated industries preferred) and building platforms at scale.
- Hands-on with GenAI and agentic AI (LLMs diffusion models RAG tool use/agents); familiarity with OpenAI Azure Hugging Face LangChain/LangGraph ADK vector databases.
- Experience with MLOps/LLMOps tooling and practices (model registry CI/CD feature store prompt/chain/versioning evaluation guardrails monitoring).
- Strong communication skills with the ability to influence senior stakeholders and simplify complex technical topics
- Working knowledge of platform components and services such as Vertex AI BigQuery OpenShift IBM CP4D and large-scale distributed model execution platforms.
- Proven ability to create and implement executive-level roadmaps and dashboards demonstrating business impact and risk posture.
- Excellent technical depth with the ability to dive into APIs SDKs security controls data contracts and performance profiles.
- Strong negotiation stakeholder engagement and cross-functional leadership skills.
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