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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Architect, GenAI - **Company:** LOVELYTICS, LLC - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $160,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Search Technologies, Software Deployment, Unstructured Data, Feature Engineering, Open-source Models, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Agentic-AI, Information Technology, Machine Learning Operations, Databricks, Data Generation - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/architect-genai-arlington-va--bbbeb06d-d5e2-4374-9c87-0a7e1098c115 ## About the Role Manufacturing, Optics, Artificial Intelligence (AI), Energy & Utilities, Consumer Packaged Goods, Entertainment and Media, Cloud Computing, Microsoft Windows Azure, Amazon Web Services (AWS), Fortune 500 Customers, * B.S. in Computer Science or equivalent technical field. * 10+ years of technology experience, including significant experience in data, ML, AI, or cloud architecture. * 2-3 years of meaningful hands-on GenAI/LLM experience preferred, with demonstrated production implementations. * Proven experience as a Solution Architect, AI Architect, Lead Engineer, or equivalent technical leadership role. * Demonstrated experience leading complex client engagements and multiple technical workstreams. * Prior consulting or professional services experience strongly preferred. * Experience mentoring and technically leading teams required. Formal people-management experience is valuable but not required * Deep 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., * 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. ## Description * 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.