Lead Artificial Intelligence Solutions Consultant

Senior Lead Artificial Intelligence Solutions Consultant

Role is Hybrid to Charlotte, NC

• 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.

• 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 (Google Cloud Platform, or Azure) and container orchestration (Docker, Kubernetes/OpenShift).

• 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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