Architect, GenAI

Lovelytics is seeking a Generative AI Architect with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. Own end-to-end architecture and technical strategy for complex GenAI and Agentic AI solutions on the Databricks Data Intelligence Platform, from discovery through production.Serve as the senior technical advisor to client stakeholders, translating business problems into scalable AI architectures and implementation roadmaps.Design solutions across Agentic AI, Compound AI, LLMs, evaluation, optimization, governance, observability, and production AI engineering using relevant Databricks capabilities.Provide technical leadership across multiple project teams, ensuring architectural quality, engineering standards, security, scalability, Unity Catalog governance, and production readiness.Guide and mentor Senior, Lead and Principal GenAI engineers and consultants, strengthening both GenAI and Databricks technical capabilities across the practice.Lead technical discovery, estimation, architecture, proposals, demos, and pre-sales activities for strategic Databricks GenAI opportunities.Develop reusable Databricks reference architectures, accelerators, patterns, and best practices for enterprise GenAI and Agentic AI implementations.Stay current on emerging Databricks AI capabilities and broader GenAI technologies, translating them into practical client solutions.Build strong client relationships, identify expansion opportunities, and help grow large, durable Databricks AI accounts.Contribute to Databricks and GenAI thought leadership through workshops, blogs, conference sessions, demos, and internal enablement.Our Ideal Candidate's Skills and Experiences: Formal people-management experience is valuable but not requiredDeep hands-on experience designing and delivering production GenAI and Agentic AI solutions.Strong understanding of LLMs, AI agents, agent orchestration, tool use, Compound AI systems, evaluation, prompt optimization, and LLMOps.Strong Databricks experience, including Mosaic AI capabilities, Model Serving, MLflow, Unity Catalog, Databricks Apps, Vector Search, and Lakehouse architecture.Ability to design secure, scalable, governed enterprise AI architectures integrating structured and unstructured data.Strong Python and software engineering fundamentals, including APIs, distributed systems, CI/CD, testing, and production deployment patterns.Experience with model evaluation, observability, guardrails, performance optimization, and cost management.Working knowledge of classical ML and how GenAI, ML, data engineering, and analytics fit into broader AI solutions.Strong client-facing consulting and executive communication skills.Nice-to-Have Skills and Experiences: Advanced Databricks certifications and strong familiarity with the broader Databricks Data Intelligence Platform.Experience with DSPy, GEPA, automated prompt optimization, fine-tuning, synthetic data generation, and advanced evaluation techniques.Experience building multi-agent systems, MCP-based integrations, tool-calling architectures, and human-in-the-loop workflows.Familiarity with multiple foundation model providers and model-selection strategies across proprietary and open-source models.Experience with cloud platforms such as Azure, AWS, or GCP, particularly enterprise security, networking, and identity integration.Experience with traditional ML, MLOps, feature engineering, and predictive modeling in addition to GenAI.Familiarity with industry-specific AI patterns in Financial Services, Healthcare, Manufacturing, Energy, Retail, Telecom, or other enterprise sectors.Experience managing or mentoring senior technical resources such as Principals, Leads, and Engineers.Experience participating in pre-sales, RFPs, proposals, solution estimation, and executive presentations.Previous experience building or scaling an AI/GenAI practice, Center of Excellence, or technical community.What We Promise You: A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas contributions are highly valued.The base salary range for this position for candidates based in the US is $160,000-210,000 per year.