> Markdown version of [/jobs/ext/2167715-forward-deployed-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2167715-forward-deployed-ai-engineer). 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). --- # Forward-deployed AI Engineer - **Company:** SCAN, Inc. - **Location:** Long Beach, CA, United States - **Experience:** Experienced - **Salary:** $125,400.0 - $215,975.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Confluence, Microsoft Azure, Health Informatics, Cyber Security, Information Engineering, Data Governance, Enterprise Content Management, Python (Programming Language), Machine Learning, Operational Data Store, Azure Machine Learning, Microsoft SharePoint, Software Engineering, Systems Integration, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Fastapi, AI Platforms, Information Technology, Data Management, Machine Learning Operations, Restful APIs, Data Pipelines, Databricks - **Published:** August 21, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18017102?backUrl=%2Fcareer%2F18017102%2FForward-Deployed-Ai-Engineer-California-Long-Beach ## About the Role * Bachelor's Degree or equivalent experience in Computer science, Engineering, or a related field * Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG),vector embeddings, prompt engineering, and agent orchestration * Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations. * Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence). * Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Microsoft Agent Framework, etc.). * Ability to connect business requirements to technical solutions, develop reusable components, and improve solution adoption and operational impact. * Collaborative communicator, comfortable engaging non-technical stakeholders and cross-functional teams. * Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies. * Strong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies * Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies. * Leadership - Skilled to develops others * Business Insight - In-Depth understanding of the business * Problem Solving - Good problem-solving skills * Strategic Mindset - Creates strategies to sustain competitive advantage Preferred Certifications or Licenses: * Microsoft Certified: Azure AI Engineer Associate * Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial. * Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous. Experience Preferred: * Extensive experience (6+ years) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare. * Demonstrated hands-on expertise (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions. * Proven track record delivering enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams. * Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services. * Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms is highly valued. * Strong stakeholder management and communication skills, with ability to translate business needs into scalable technical solutions and drive adoption across diverse teams. * Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus. ## Description As a Forward Deployed AI Engineer, you'll embed with SCAN's teams to understand how work actually happens, identify opportunities where AI can make a measurable difference, and rapidly design, build, and deploy solutions that improve outcomes. Instead of working on a single product, you'll own transformation of teams and domains. One engagement might focus on reducing turnaround time for member questions, while another might improve case manager productivity. The next could automate administrative operations or help employees make better decisions with enterprise knowledge. You'll partner closely with business leaders, product owners, architects, and platform engineers to turn ambiguity into production systems. Essential Job Functions: Business Partnership & Discovery * Embed with SCAN's teams to understand workflows, operational challenges, and strategic priorities. * Lead discovery activities including stakeholder interviews, workflow observation, process analysis, and opportunity assessment. * Translate ambiguous business problems into clear technical requirements and measurable success criteria. * Build trusted relationships with SCAN leaders and serve as a strategic technology partner. AI Solution Design & Delivery * Design, develop, test, deploy, and support AI-enabled applications using SCAN's large language models (LLMs), AI agents, retrieval-augmented generation (RAG), workflow automation, APIs, and modern software engineering practices. Rapidly prototype solutions, validate concepts with users, and iterate based on business feedback. * Build production-ready software using SCAN's enterprise AI platform, identifying opportunities to reverse-integrate any new capabilities to the core platform. * Evaluate emerging AI technologies and recommend appropriate approaches based on business needs. Technical Leadership * Translate complex business problems into scalable, maintainable technical architectures. * Collaborate with architects, product managers, platform engineers, data engineers, and security teams to deliver enterprise AI solutions. * Develop reusable components, patterns, and technical assets that accelerate future AI development. * Contribute to engineering standards, best practices, and continuous improvement across the AI organization. Business Outcomes & Continuous Improvement * Establish measurable success metrics for AI solutions and monitor business impact after deployment. * Continuously optimize solutions based on operational data, user feedback, and changing business needs. * Identify additional automation and AI opportunities through ongoing engagement with business partners. * Support organizational adoption of AI through education, coaching, and change management. Responsible AI, Security & Governance * Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight. * Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use. * Document solution design, risks, controls, assumptions, and operational considerations for AI systems. * Ensure AI solutions comply with organizational standards, regulatory requirements, and security policies. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [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)