Job SummaryWe are seeking a Senior Lead Artificial Intelligence Solutions Consultant to lead the design, architecture, and delivery of enterprise-scale Artificial Intelligence and Generative AI solutions. This role will serve as a client-facing technical leader responsible for translating business requirements into scalable AI architectures and driving successful AI platform implementations across enterprise environments. The ideal candidate will possess deep expertise in AI/ML technologies, cloud-native platforms, Generative AI solutions, and large-scale enterprise architecture.
Key Responsibilities- Lead the design and delivery of enterprise-scale Artificial Intelligence and Generative AI solutions for complex business challenges.
- Act as a client-facing solution lead by translating business requirements into scalable AI and cloud-native architectures.
- Provide technical leadership across Generative AI use cases including Retrieval-Augmented Generation (RAG), agentic workflows, model orchestration, and AI platform integration.
- Collaborate with stakeholders, architects, and engineering teams to deliver secure, scalable, and production-ready AI solutions.
- Support AI/ML platform strategy, architecture planning, and enterprise AI modernization initiatives.
- Guide solution design across data management, model deployment, platform integration, and operational workflows.
- Ensure AI solutions align with enterprise governance, security, compliance, and regulatory standards.
- Support MLOps and LLMOps implementation practices including CI/CD, model lifecycle management, monitoring, and observability.
- Provide technical guidance on APIs, SDKs, security controls, data integration, and distributed AI platform performance.
- Develop executive-level roadmaps, dashboards, and reporting related to AI business impact and risk management.
- Partner with cross-functional teams to drive innovation, platform adoption, and AI solution scalability.
- Communicate complex technical concepts effectively to business leaders, technical teams, and executive stakeholders.
Required Qualifications- Minimum 4 years of experience in Artificial Intelligence or equivalent combination of work experience, training, military experience, or education.
- Minimum 3 years of experience in product management, solution management, program delivery, or technical product ownership for AI/ML platforms or cloud-native solutions.
- Minimum 3 years of hands-on experience with cloud technologies such as Google Cloud Platform (GCP) or Microsoft Azure.
- Experience with container orchestration technologies including Docker and Kubernetes/OpenShift.
- Strong understanding of enterprise AI solution architecture and scalable platform design.
- Strong communication and stakeholder management skills.
- Ability to translate business requirements into technical AI and cloud solutions.
Preferred Qualifications- Minimum 5 years of experience across the AI/ML lifecycle including data management, feature engineering, model development, deployment, monitoring, governance, and observability.
- Experience working in large enterprise or regulated industry environments.
- Hands-on experience with Generative AI and agentic AI technologies including LLMs, diffusion models, RAG architectures, and AI agents.
- Familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, and vector database technologies.
- Experience with MLOps and LLMOps practices including model registry, feature stores, prompt/version management, evaluation frameworks, guardrails, and monitoring solutions.
- Working knowledge of platforms and services such as Vertex AI, BigQuery, OpenShift, IBM CP4D, and distributed model execution platforms.
- Experience developing executive-level technology roadmaps and business impact dashboards.
- Strong technical depth related to APIs, SDKs, data contracts, performance optimization, and security controls.
- Strong negotiation, leadership, and cross-functional collaboration skills.
