TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years. TECHNOGEN is a Small and Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD and Offshore development centers in India. We have successfully executed 100 projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies. Hi, Greetings of the day! We are looking to Hire a Talented Professional for the below Job opportunity with one of our clients, If you're interested, please share your updated resume at your earliest convenience, and I'll be happy to provide more details about the role. Position: Senior Lead Artificial Intelligence Solutions Consultant Location: Charlotte, NC (Hybrid) Duration: Long Term Contract Job Description: 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. Ranjitha P Sr. IT Recruiter Docker, GCP, AI/ML, artificial intelligence, or Azure, Kubernetes/OpenShift).