> Markdown version of [/jobs/ext/621383-ai-lead-developer](https://www.wearedevelopers.com/jobs/ext/621383-ai-lead-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Lead Developer - **Company:** Q1 Technologies, Inc. - **Location:** Herndon, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Automation of Tests, BigQuery, Cloud Engineering, Continuous Integration, Identity and Access Management, Python (Programming Language), Regression Testing, Runbook, Software Engineering, TypeScript, Enterprise Search, Data Logging, Google Cloud, Data Ingestion, Large Language Models, Generative AI, Build Management, Kubernetes, Machine Learning Operations, Virtual Agents, Software Version Control, Microservices - **Published:** June 16, 2026 - **Apply:** https://www.dice.com/job-detail/2102a5f9-2f23-49db-adfe-31bd8259f1e9 ## About the Role Drive the design, development, and industrialization of Generative AI and Agentic AI solutions in a global, high-tech enterprise setting. This role owns the journey from PoC * MVP * production with enterprise-grade quality: security, scalability, reliability, observability, and governance. Candidate must be platform-agnostic; hands-on Google Cloud Platform experience is preferred. Familiarity with classical AI/ML for hybrid solutions is a strong advantage., * 8+ years software engineering; 2+ years delivering GenAI/LLM solutions (hands-on). * Demonstrated success taking at least one GenAI solution into production (not only PoCs). * Strong coding in Python (and/or Java/Go/TypeScript) plus API/service engineering. * Strong GenAI fundamentals: RAG, embeddings, prompt lifecycle, tool/function calling, agentic patterns, evaluation methods. * Cloud-native engineering: containers, Kubernetes (or equivalent), CI/CD, IaC, observability. * Ability to work onsite in Herndon - 3 days/week. Preferred / Nice to Have * Hands-on Google Cloud Platform (e.g., Vertex AI, BigQuery, Cloud Run/GKE, Pub/Sub, IAM/Secret Manager). * Classical AI/ML exposure for hybrid systems (prediction + GenAI). * Experience with vector DB / enterprise search and working in regulated/high-security environments., * Production-grade GenAI/agentic service(s) with monitoring, alerting, runbooks, and support readiness. ## Description We are looking for a profile that combines strong technical skills with effective business communication. Key expectations include: * Clear prioritization * Regular, structured status updates * Clear ownership of actions * The ability to present and explain technical topics in a way that is relatable to the business * The ability to translate business requirements into AI solutions and project a clear AI vision across relevant use cases * candidates having strong lead experience who will be handling a team, Technical Leadership & Architecture * Define solution architecture for GenAI/agentic capabilities (RAG, tool/function calling, orchestration, guardrails). * Make design decisions balancing quality, latency, cost, and compliance; produce lightweight architecture artifacts and decision logs. Hands-on Delivery (Prototype to Production) * Build and deploy production-ready GenAI services/APIs (microservices) and reusable components (accelerators, templates, SDKs). * Implement data ingestion + retrieval pipelines (chunking, embeddings, indexing) and integrate enterprise data sources. * Establish evaluation approach (benchmarks, regression tests, golden datasets) and manage prompt/model versioning. LLMOps / Platform Enablement * Implement CI/CD, automated testing gates, rollout strategies, monitoring/logging/tracing, and operational runbooks. * Support incident/change workflows and ensure production readiness (SLOs, resiliency, cost controls). Security, Privacy & Responsible AI * Implement controls for PII protection, access management, auditability, prompt-injection mitigation, safety filters, and governance alignment. Collaboration & Mentoring * Partner with product, architecture, data, and security stakeholders; translate requirements into backlog and deliverables. * Mentor engineers and align distributed/global teams on standards and delivery practices. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Bridging AI and Nomad: a Go-based MCP Server for Cluster Control](https://www.wearedevelopers.com/videos/2063-bridging-ai-and-nomad-a-go-based-mcp-server-for-cluster-control) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)