Artificial Intelligence Consultant

AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (GCP). The ideal candidate will have strong hands-on experience across data lakehouse architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation. Key ResponsibilitiesData & Platform Architecture • Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers • Architect modern data lakehouse platforms using GCP services (e.g., BigQuery, Dataproc, Cloud Storage) • Define scalable data platforms supporting batch, streaming, and real-time analytics • Establish data governance, metadata management, data quality, lineage, and security frameworks AI, ML & MLOps Architecture • Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management • Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability) • Collaborate with data scientists to productionize ML models at scale • Evaluate and recommend ML frameworks, tools, and best practices Generative AI & Agentic AI • Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases) • Design Conversational Analytics and AI-powered BI solutions • Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations • Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems Business Intelligence & Analytics • Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights • Integrate BI tools with data lakehouse and AI layers • Enable semantic layers, metrics definitions, and governed analytics Cloud & GCP Leadership • Lead architecture and solution design on Google Cloud Platform (GCP) • Utilize GCP services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM • Ensure architectures follow best practices for security, scalability, performance, and cost optimization Stakeholder & Technical Leadership • Partner with business leaders to translate business requirements into AI-driven solutions • Lead technical design reviews and architecture governance • Mentor engineers, architects, and data scientists • Create architecture blueprints, reference architectures, and technical documentation Required Skills & QualificationsCore Technical Skills • Strong experience in Data Architecture & Data Platforms • Hands-on expertise in Data Lakehouse architectures • Deep understanding of end-to-end data management • Experience with modern BI platforms and analytics ecosystems • Strong background in AI/ML architecture and MLOps • Proven experience in Conversational Analytics and Generative AI • Hands-on exposure to Agentic AI platforms, frameworks, and evaluations • Strong expertise in Google Cloud Platform (GCP) Tools & Technologies (preferred) • GCP: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker • AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks • MLOps: CI/CD, feature stores, model registries, monitoring tools • Data: SQL, Python, Spark, Kafka • BI: Looker, Tableau, Power BI (or equivalent) Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field • GCP Professional certifications (e.g., Professional Data Engineer, Professional ML Engineer, Cloud Architect) • Experience working in large-scale enterprise or consulting environments • Strong communication and stakeholder management skills